US20170076598A1 - Driving lane change suggestions - Google Patents

Driving lane change suggestions Download PDF

Info

Publication number
US20170076598A1
US20170076598A1 US15/122,986 US201515122986A US2017076598A1 US 20170076598 A1 US20170076598 A1 US 20170076598A1 US 201515122986 A US201515122986 A US 201515122986A US 2017076598 A1 US2017076598 A1 US 2017076598A1
Authority
US
United States
Prior art keywords
lane
vehicle
causeway
current
advantageous
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US15/122,986
Inventor
Christopher L. Scofield
Scott Sedlik
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Inrix Inc
Original Assignee
Inrix Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Inrix Inc filed Critical Inrix Inc
Priority to US15/122,986 priority Critical patent/US20170076598A1/en
Publication of US20170076598A1 publication Critical patent/US20170076598A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • B60W40/04Traffic conditions
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055Simultaneously evaluating both cardiovascular condition and temperature
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4845Toxicology, e.g. by detection of alcohol, drug or toxic products
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • B60R16/0231Circuits relating to the driving or the functioning of the vehicle
    • B60R16/0236Circuits relating to the driving or the functioning of the vehicle for economical driving
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/14Adaptive cruise control
    • B60W30/143Speed control
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W40/09Driving style or behaviour
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64CAEROPLANES; HELICOPTERS
    • B64C39/00Aircraft not otherwise provided for
    • B64C39/02Aircraft not otherwise provided for characterised by special use
    • B64C39/024Aircraft not otherwise provided for characterised by special use of the remote controlled vehicle type, i.e. RPV
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3407Route searching; Route guidance specially adapted for specific applications
    • G01C21/3415Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3469Fuel consumption; Energy use; Emission aspects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3605Destination input or retrieval
    • G01C21/3617Destination input or retrieval using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3626Details of the output of route guidance instructions
    • G01C21/3655Timing of guidance instructions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3667Display of a road map
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3679Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities
    • G01C21/3682Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities output of POI information on a road map
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0011Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots associated with a remote control arrangement
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/08Payment architectures
    • G06Q20/10Payment architectures specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
    • G06Q20/102Bill distribution or payments
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/06Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
    • G07B15/063Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems using wireless information transmission between the vehicle and a fixed station
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/008Registering or indicating the working of vehicles communicating information to a remotely located station
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/012Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0129Traffic data processing for creating historical data or processing based on historical data
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0133Traffic data processing for classifying traffic situation
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/065Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/091Traffic information broadcasting
    • G08G1/093Data selection, e.g. prioritizing information, managing message queues, selecting the information to be output
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0965Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages responding to signals from another vehicle, e.g. emergency vehicle
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096708Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
    • G08G1/096725Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096733Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
    • G08G1/096741Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096775Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096791Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is another vehicle
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096805Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
    • G08G1/096811Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096805Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
    • G08G1/096811Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
    • G08G1/096822Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard where the segments of the route are transmitted to the vehicle at different locations and times
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096833Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
    • G08G1/096838Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the user preferences are taken into account or the user selects one route out of a plurality
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/097Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/38Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
    • H04B1/3822Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving specially adapted for use in vehicles
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/14Relay systems
    • H04B7/15Active relay systems
    • H04B7/185Space-based or airborne stations; Stations for satellite systems
    • H04B7/18502Airborne stations
    • H04B7/18504Aircraft used as relay or high altitude atmospheric platform
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/2866Architectures; Arrangements
    • H04L67/30Profiles
    • H04L67/306User profiles
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3247Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving digital signatures
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M15/00Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
    • H04M15/60Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP based on actual use of network resources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/08Access security
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/024Guidance services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/42Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/50Service provisioning or reconfiguring
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/053Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0531Measuring skin impedance
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W2040/0809Driver authorisation; Driver identity check
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W2040/0872Driver physiology
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0062Adapting control system settings
    • B60W2050/0075Automatic parameter input, automatic initialising or calibrating means
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2540/00Input parameters relating to occupants
    • B60W2540/22Psychological state; Stress level or workload
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2552/00Input parameters relating to infrastructure
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2554/00Input parameters relating to objects
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2555/00Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
    • B60W2555/20Ambient conditions, e.g. wind or rain
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2556/00Input parameters relating to data
    • B60W2556/10Historical data
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2710/00Output or target parameters relating to a particular sub-units
    • B60W2710/10Change speed gearings
    • B60W2710/1038Output speed
    • B60W2710/1044Output speed change rate
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2710/00Output or target parameters relating to a particular sub-units
    • B60W2710/18Braking system
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2720/00Output or target parameters relating to overall vehicle dynamics
    • B60W2720/10Longitudinal speed
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2101/00UAVs specially adapted for particular uses or applications
    • B64U2101/30UAVs specially adapted for particular uses or applications for imaging, photography or videography
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3605Destination input or retrieval
    • G01C21/3608Destination input or retrieval using speech input, e.g. using speech recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q2240/00Transportation facility access, e.g. fares, tolls or parking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/48Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for in-vehicle communication

Definitions

  • a device may provide a variety of location-based information to assist with navigation, such as a map, a depiction of an automatically or manually designated navigation route, and areas of obstacles such as traffic congestion.
  • a navigation device may advise a driver of the vehicle as to lane suggestions; e.g., a navigation device may indicate to the driver that a route involves an exit from a rightmost lane of the causeway, and may suggest that the driver occupy the right rightmost lane in order to follow the route.
  • lane suggestions may be helpful (e.g., a routing database may indicate that a route between two points involves an exit from the rightmost lane), but additional suggestions may be identified based on the evaluation of travel conditions in each lane (e.g., current traffic congestion in each lane, or the presence of an obstacle such as a collision in a particular lane), and the comparison of the travel conditions of the respective lanes of the causeway.
  • a routing database may indicate that a route between two points involves an exit from the rightmost lane
  • additional suggestions may be identified based on the evaluation of travel conditions in each lane (e.g., current traffic congestion in each lane, or the presence of an obstacle such as a collision in a particular lane), and the comparison of the travel conditions of the respective lanes of the causeway.
  • the device that is configured to detect the lane currently occupied by the vehicle may also indicate to the driver whether another lane is more advantageous than the current lane (e.g., that the lane to the left of the vehicle is less congested than the current lane).
  • Such detection and comparison may enable a selective presentation of lane change suggestions (e.g., not suggesting a lane to the driver if the current lane is optimal), and/or the presentation more contextually relevant lane change suggestions (e.g., rather than depicting or speaking “the second lane,” which may be confusing in a multi-lane causeway, a device may advise the driver to “move two lanes to the left”), as well as refraining from presenting unhelpful lane suggestions (e.g., advising the driver that a particular lane is optimal when the driver is already occupying the lane, thus disadvantageously distracting the attention of the driver and possibly confusing the navigation).
  • lane change suggestions e.g., not suggesting a lane to the driver if the current lane is optimal
  • the presentation more contextually relevant lane change suggestions e.g., rather than depicting or speaking “the second lane,” which may be confusing in a multi-lane causeway, a device may advise the driver to “move two lanes to the left”
  • a device may facilitate a driver of a vehicle operating on a causeway having at least two lanes by detecting, among the lanes of the causeway, a current lane that is occupied by the vehicle; for respective lanes, identifying a travel condition; identifying an advantageous lane of the causeway having a travel condition presenting an advantage over the travel condition of the current lane; and presenting to the driver a suggestion to transfer the vehicle to the advantageous lane.
  • FIG. 1 is an illustration of an example scenario featuring driving suggestions.
  • FIG. 2 is an illustration of an example scenario featuring a device facilitating a driver of a vehicle through the presentation of lane change suggestions that are contextually related to the current lane of the vehicle, in accordance with the techniques presented herein.
  • FIG. 3 is an illustration of an example method of facilitating a driver of a vehicle through the presentation of lane change suggestions in accordance with the techniques presented herein.
  • FIG. 4 is a component block diagram of an example system for facilitating a driver of a vehicle through the presentation of lane change suggestions in accordance with the techniques presented herein.
  • FIG. 5 is an illustration of an example scenario featuring the facilitation of drivers of vehicles through the presentation of lane change suggestions in accordance with the techniques presented herein.
  • FIG. 6 is an illustration of an example computer-readable medium comprising processor-executable instructions configured to embody one or more of the provisions set forth herein.
  • FIG. 7 is an illustration of an example scenario featuring a server configured to evaluate the travel conditions of respective lanes of a causeway, and to advise a set of drivers on a causeway of lane change suggestions, in accordance with the techniques presented herein.
  • FIG. 8 is an illustration of an example scenario featuring various techniques for configuring a device of a vehicle to detect a current lane, and/or the travel conditions of various lanes of a causeway, in accordance with the techniques presented herein.
  • FIG. 9 is an illustration of an example scenario featuring additional techniques for configuring a device of a vehicle to detect a current lane, and/or the travel conditions of various lanes of a causeway, in accordance with the techniques presented herein.
  • FIG. 10 is an illustration of an example scenario featuring additional techniques for configuring a device of a vehicle to detect a current lane, and/or the travel conditions of various lanes of a causeway, in accordance with the techniques presented herein.
  • FIG. 11 is an illustration of an example scenario featuring a collection of lane information by a travel service, in accordance with the techniques presented herein.
  • FIG. 12 is an illustration of an example scenario featuring the presentation of a lane change suggestion within a lane change suggestion window, in accordance with the techniques presented herein.
  • FIG. 13 is an illustration of an example scenario featuring a presentation of lane change suggestions on a window through which the driver observes the operation of the vehicle, in accordance with the techniques presented herein.
  • FIG. 14 illustrates an example computing environment wherein one or more of the provisions set forth herein may be implemented.
  • mapping, navigation, routing, and travel condition advisories In the field of vehicle computing, many types of devices and services may be provided that facilitate the driver of a vehicle, such as mapping, navigation, routing, and travel condition advisories.
  • the computations of the devices may result in various types of suggestions that may facilitate the driver of the vehicle, and the presentation of such suggestions to the driver (e.g., as visual text, graphical icons, maps, photographic images, three-dimensional renderings, audio cues, spoken text, and/or haptic feedback) to signal the suggestions to the driver.
  • FIG. 1 presents an illustration of various scenarios in which suggestions may be presented to facilitate a driver 108 operating a vehicle 106 operating on a causeway 102 having at least two lanes 104 .
  • a detection of traffic congestion 110 ahead on the causeway 102 due to a collision 114 between vehicles 106 may result in a notification 112 to the driver of the upcoming traffic congestion 110 , which may prompt the driver 108 to slow down or to select an alternate route.
  • the driver 108 may request routing from an origin location to a destination location, and a navigation device or service may determine that a next direction along the route involves taking an exit ramp 118 that is accessible from the right lane 104 of the causeway 102 .
  • a notification 112 may therefore be presented to the driver 108 of the vehicle 106 to exit the causeway 102 from the right lane 104 .
  • an emergency vehicle 122 may be approaching a set of vehicles 106 on a causeway 102 , and a device may present to a driver 108 of a vehicle 106 within the vehicle set a notification 112 alerting the driver 108 of the approaching emergency vehicle 102 , which may enable the driver 108 to make room for the passage of the emergency vehicle 122 .
  • the notification 112 presented in the example scenarios presented in FIG. 1 may facilitate the driver 106 of the vehicle 108 , it may be appreciated that some disadvantages may arise within these scenarios.
  • the notification 112 advises the driver 108 of approaching traffic congestion 110 , but does not inform the driver 108 that the traffic congestion 110 is caused by a collision in a particular lane 104 , and that moving the vehicle 106 to the other lane 104 may facilitate the driver 108 in quickly and safely avoiding the source of the traffic congestion 110 .
  • the notification 112 advises the driver 108 that the exit ramp 118 is accessible from the right lane 104 , but such an instruction may be misinterpreted as an instruction to change lanes 104 , possibly misdirecting the driver 108 .
  • Such confusion may particularly arise, e.g., where the causeway 102 presents a large number of lanes 104 and the notification 112 attempts to describe a particular lane 104 (e.g., instructing the driver 108 to occupy the third of six lanes 104 ).
  • the instruction may be moot because the vehicle 106 already occupies the designated lane 104 , and presenting the notification 112 may unhelpfully confuse or distract the driver 108 .
  • the notification 112 informs the driver 180 of the approaching emergency vehicle 122 , but the driver 108 may not be able to see the lane occupied by the emergency vehicle 122 , and may inadvertently block the passage of the emergency vehicle 122 (e.g., by inducing the driver 108 to change lanes 104 into the path of the emergency vehicle 122 ).
  • These and other scenarios illustrate the limitations of some notifications 112 presented to the driver 108 that do not utilize the context of the driver 108 and/or the vehicle 106 .
  • a device that is configured to determine, among the lanes 104 of a causeway 102 , the current lane 104 of the vehicle 106 may further choose the notifications 112 in the context of the current lane 104 of the vehicle 106 .
  • Using the context of the current lane 104 of the vehicle 106 may enable the presentation not just of notifications 112 , but of lane change suggestions—i.e., suggestions that the driver 108 change the lane 104 of the vehicle 102 in order to achieve a particular type of advantage.
  • FIG. 2 presents illustrations of example scenarios where the detection of a current lane 104 of a vehicle 106 may enable a device 202 to facilitate a driver 108 in the operation of the vehicle 106 in the context of the current lane 104 .
  • these techniques involve presenting lane change suggestions 208 that encourage the user 108 to change the lane 104 of the vehicle 106 based on a perceived advantage 206 identified through a comparison of travel conditions of respective lanes 104 .
  • the device 202 may perform a lane determination 204 that the vehicle 106 is in a right lane 114 , compare the travel condition of the current lane 104 with the travel condition of another lane, and may identify an advantage 206 from switching from the current lane 104 to an advantageous lane 104 (e.g., determining that switching to the left lane may enable the vehicle 106 to avoid the traffic obstacle caused by the collision 114 ).
  • the device 202 may therefore present a lane change suggestion 208 indicating that the driver 108 should move to the left lane 104 .
  • two vehicles 106 may respectively occupy a left lane 104 and a right lane 104 of a causeway 102 , and both may be approaching an exit ramp 118 included in the directions for a route of each vehicle 106 .
  • a notification 112 might be presented to each vehicle 106 , but may be confusing if not specified relative to the current lane 104 of the vehicle 106 . Rather, each device 202 may perform a lane determination 204 of the current lane 104 of the vehicle 106 .
  • the first vehicle 106 occupying the left lane may determine that an advantage 206 exists for changing to the right lane 104 (e.g., complying with the routing directions), and may therefore present a lane change suggestion 208 to change the lane 104 of the vehicle 106 to the right lane.
  • the device 202 of the second vehicle 106 may determine that no advantage 206 exists for changing to the left lane 104 , and may therefore refrain from presenting a lane change suggestion 208 , e.g., thus reducing the distraction and possible confusion of the driver 108 resulting form the presentation of a moot notification 112 .
  • a device 202 detecting an approaching emergency vehicle 122 , and may perform a lane determination 204 of the current lane 104 for comparison with the lane 104 of the emergency vehicle 122 . Determining that the vehicle 106 occupies the same lane 104 as the emergency vehicle 122 , and that changing lanes 104 may lead to an advantage 206 by avoiding the path of the emergency vehicle 122 , the device 106 may present a lane change suggestion 208 indicating that the driver 108 should change to the right lane 104 to enable passage of the emergency vehicle 122 .
  • These and other scenarios may demonstrate the value of presenting lane change suggestions 208 in order to facilitate a user 108 in the operation of a vehicle 106 in accordance with the techniques presented herein.
  • the techniques provided herein may enable a determination of the status of a causeway 102 , such as traffic conditions of various lanes of a road, based upon a collection of information about the lanes 104 of the causeway 102 from respective vehicles 108 traveling on the causeway 102 . That is, while general traffic information about the causeway 102 may be derived from more generalized metrics such as the reported speeds of vehicles 108 , such metrics may not provide a fully detailed account of the conditions of the respective lanes 104 of the causeway 102 .
  • a discrepancy arising in a particular lane 104 of the causeway 102 as compared with the other lanes 104 of the causeway 102 may indicate the presence of an obstruction, such as traffic, a vehicular accident, or a pothole, which may otherwise be difficult to differentiate from a generalized traffic condition such as volume-induced congestion.
  • Such indications may enable a determination of whether to advise the driver to transfer to a different lane 104 , to maintain the present lane 104 , or to detour to a different causeway 102 altogether.
  • the techniques provided herein may enable a more detailed evaluation of the conditions of the causeway, and therefore may provide more accurate determination of routing factors, such as an estimated travel duration and an estimated time of arrival. For example, if traffic congestion is detected along the route of the user, an estimated travel duration reported to the user may be updated to reflect a projected delay. The duration of the projected delay may be estimated based in part on whether the traffic congestion is confined to one of the lanes 104 of the causeway 102 and may therefore be avoidable, or whether the traffic congestion applies to all lanes 104 of the causeway 102 .
  • the determination of the conditions of the lanes 104 of the causeway 102 may assist a navigation device with a determination of whether or not to re-route the user 102 through a different causeway 102 that may enable an avoidance of a travel delay affecting the current causeway 102 of the user.
  • such indications may enable a determination of the urgency of presenting the suggestion. For example, construction arising six miles ahead in the driver's lane of a road may prompt no suggestion, or a more generalized suggestion, such as a change of route; construction arising in the driver's lane on the road three miles ahead may prompt a suggestion to change lanes sometime in the next several minutes; and construction arising within the next mile may prompt an urgent recommendation to change lanes 104 .
  • the techniques provided herein may enable more detailed notification of the lane change suggestion to the user 102 .
  • Such information may be presented to the user 102 in a timely manner (e.g., choosing an ideal moment to advise the user 102 to select a different lane 112 ), and/or may be based upon current or typical conditions for the respective lanes 104 of the causeway 102 .
  • a user may be operating a vehicle 108 in a left lane 104 of the causeway 102 , and may be embarking upon a route that involves a right turn from the right lane 104 two miles ahead.
  • a navigation device may decide whether to advise the user to switch to the right lane 104 as soon as possible (e.g., because traffic is developing in the left lane 104 ), or to remain in the left lane 104 until the turn is imminent (e.g., because traffic is developing in the right lane 104 ). In this manner, the navigation device may advise the user in the navigation of the vehicle 108 in a manner that is informed by the current conditions of the lanes 104 of the causeway 102 in accordance with the techniques presented herein.
  • FIG. 3 presents a first example embodiment of the techniques presented herein, illustrated as an example method 300 of facilitating a driver 108 in the operation of a vehicle 106 on a causeway 102 having at least two lanes 104 .
  • the example method 300 may involve a device 202 having a processor, and may be implemented, e.g., as a set of instructions stored in a memory component of a device (e.g., a memory circuit, a platter of a hard disk drive, a solid-state memory component, or a magnetic or optical disc) that, when executed by the processor of the device, cause the device 202 to perform the techniques presented herein.
  • the example method 300 begins at 302 and involves executing 304 the instructions on the processor.
  • the instructions cause the device 202 to detect 306 , among the at least two lanes 104 of the causeway 102 , a current lane 104 that is occupied by the vehicle 106 .
  • the instructions also cause the device 202 to, for respective lanes 104 , identify 308 a travel condition.
  • the instructions also cause the device 202 to identify 310 an advantageous lane 104 of the causeway 102 having a travel condition that presents an advantage 206 over the travel condition of the current lane 104 .
  • the instructions also cause the device 202 to present 312 to the driver 108 of the vehicle 106 a lane change suggestion 208 to transfer the vehicle 106 to the advantageous lane 104 .
  • the example method 300 of FIG. 3 achieves the facilitation of the operation of the vehicle 106 by the driver 108 by presenting lane change suggestions 208 relative to the current lane 104 of the vehicle 106 , and so ends at 314 .
  • FIG. 4 presents an illustration of an example scenario 400 featuring a second example embodiment of the techniques presented herein, illustrated as an example system 408 for facilitating a driver 108 in the operation of a vehicle 106 .
  • the example system 408 may be implemented, e.g., on a device 402 having a processor 404 and a memory 406 .
  • Respective components of the example system 408 may be implemented, e.g., as a set of instructions stored in the memory 406 of the device 402 and executable on the processor 404 of the device 402 , such that the interoperation of the components causes the device 402 to operate according to the techniques presented herein.
  • the example system 408 comprises a lane evaluating component 410 , comprising instructions that, when executed on the processor 404 , cause the device 402 to, while the vehicle 106 operates on a causeway 102 having at least two lanes 104 , perform a lane detection 204 identifying, among the lanes 104 of the causeway 102 , a current lane 414 that is occupied by the vehicle 106 .
  • the instructions of the lane detecting component 410 further cause the device 402 to, for respective lanes 104 , identify a travel condition 416 ; and by performing a comparison 418 of the travel conditions 416 of the respective lanes 104 , identify an advantageous lane 416 of the causeway 102 having a travel condition 418 presenting an advantage 206 over the travel condition 418 of the current lane 414 .
  • the example system 408 also comprises a lane change suggestion presenting component 412 , comprising instructions that, when executed on a processor 404 of the device 402 , cause the device 402 to present to the driver 108 a lane change suggestion 208 to transfer the vehicle 106 to the advantageous lane 416 .
  • the interoperation of the components of the example system 408 of FIG. 4 thereby achieves the selection and presentation of the lane change suggestion 208 and therefore facilitate the driver 108 in the operation of the vehicle 106 .
  • FIG. 5 presents a third example embodiment of the techniques presented herein, illustrated as an example method 500 of facilitating drivers 108 of vehicles 106 operating on a causeway 102 having at least two lanes 104 .
  • the example method 500 may involve a device 202 having a processor, and may be implemented, e.g., as a set of instructions stored in a memory component of a device (e.g., a memory circuit, a platter of a hard disk drive, a solid-state memory component, or a magnetic or optical disc) that, when executed by the processor of the device, cause the device 202 to perform the techniques presented herein.
  • the example method 500 begins at 502 and involves executing 504 the instructions on the processor.
  • the instructions cause the device 202 to, for respective lanes 104 of the causeway 102 , identify 506 a travel condition 418 .
  • the instructions also cause the device 202 to, among the lanes 104 of the causeway 102 , identify 508 at least one advantageous lane 416 of the causeway 102 presenting an advantage 206 over the other lanes 104 of the causeway 102 .
  • the instructions also cause the device 202 to notify 510 the vehicles 104 of the at least one advantageous lane 416 of the causeway 102 .
  • the example method 500 of FIG. 5 achieves the facilitation of the operation of the vehicles 106 operating on the causeway 102 by the drivers 108 , and so ends at 512 .
  • a fourth embodiment of the techniques presented herein involves a computer-readable medium comprising processor-executable instructions configured to apply the techniques presented herein.
  • Such computer-readable media may include, e.g., computer-readable storage media involving a tangible device, such as a memory semiconductor (e.g., a semiconductor utilizing static random access memory (SRAM), dynamic random access memory (DRAM), and/or synchronous dynamic random access memory (SDRAM) technologies), a platter of a hard disk drive, a flash memory device, or a magnetic or optical disc (such as a CD-R, DVD-R, or floppy disc), encoding a set of computer-readable instructions that, when executed by a processor of a device, cause the device to implement the techniques presented herein.
  • a memory semiconductor e.g., a semiconductor utilizing static random access memory (SRAM), dynamic random access memory (DRAM), and/or synchronous dynamic random access memory (SDRAM) technologies
  • SSDRAM synchronous dynamic random access memory
  • Such computer-readable media may also include (as a class of technologies that are distinct from computer-readable storage media) various types of communications media, such as a signal that may be propagated through various physical phenomena (e.g., an electromagnetic signal, a sound wave signal, or an optical signal) and in various wired scenarios (e.g., via an Ethernet or fiber optic cable) and/or wireless scenarios (e.g., a wireless local area network (WLAN) such as WiFi, a personal area network (PAN) such as Bluetooth, or a cellular or radio network), and which encodes a set of computer-readable instructions that, when executed by a processor of a device, cause the device to implement the techniques presented herein.
  • WLAN wireless local area network
  • PAN personal area network
  • Bluetooth a cellular or radio network
  • FIG. 6 An example computer-readable medium that may be devised in these ways is illustrated in FIG. 6 , wherein the implementation 600 comprises a computer-readable medium 602 (e.g., a CD-R, DVD-R, or a platter of a hard disk drive), on which is encoded computer-readable data 604 .
  • This computer-readable data 604 in turn comprises a set of computer instructions 606 configured to operate according to the principles set forth herein.
  • the processor-executable instructions 606 may be configured to, when executed by a processor 612 of a device 610 , cause the device 610 to facilitate a driver 108 in the operation of a vehicle 106 through the presentation of lane change suggestions 208 , such as the example method 300 of FIG. 3 .
  • the processor-executable instructions 606 may be configured to implement a system for advising a driver 108 in the operation of a vehicle 106 through the presentation of lane change suggestions 208 , such as the example system 408 of FIG. 4 .
  • the processor-executable instructions 606 may be configured to, when executed by a processor 612 of a device 610 , cause the device 610 to facilitate drivers 108 in the operation of vehicles 106 operating on a causeway 102 by advising devices 202 on board the vehicles 106 of advantageous lanes 418 of the causeway 102 , such as the example method 500 of FIG. 5 .
  • this computer-readable medium may comprise a nontransitory computer-readable storage medium (e.g., a hard disk drive, an optical disc, or a flash memory device) that is configured to store processor-executable instructions configured in this manner.
  • a nontransitory computer-readable storage medium e.g., a hard disk drive, an optical disc, or a flash memory device
  • Many such computer-readable media may be devised by those of ordinary skill in the art that are configured to operate in accordance with the techniques presented herein.
  • the techniques discussed herein may be devised with variations in many aspects, and some variations may present additional advantages and/or reduce disadvantages with respect to other variations of these and other techniques. Moreover, some variations may be implemented in combination, and some combinations may feature additional advantages and/or reduced disadvantages through synergistic cooperation. The variations may be incorporated in various embodiments (e.g., the example method 300 of FIG. 3 ; the example system 408 of FIG. 4 ; the example method 500 of FIG. 5 ; and the example computer-readable storage device 602 of FIG. 6 ) to confer individual and/or synergistic advantages upon such embodiments.
  • a first aspect that may vary among embodiments of these techniques relates to the scenarios wherein such techniques may be utilized.
  • the techniques presented herein may be used with many types of vehicles 106 , including automobiles, motorcycles, trucks, buses, watercraft, aircraft, and spacecraft. Additionally, the techniques presented herein may be used to evaluate many types of multi-lane causeways 102 , including walking and biking paths, roads, highways, railways, waterways, and airspaces. Such vehicles may be controlled by one or more humans, may be autonomous, or may involve a combination thereof, such as an autonomous automobile that can also be controlled by a human.
  • the techniques presented herein may be used to evaluate many types of advantages 206 in choosing an advantageous lane 416 over a current lane 414 , such as a lane compliance with a route of the vehicle 106 (e.g., a lane 104 that the vehicle 106 is to occupy to fulfill a route); a fuel economy promoting advantage; a cost economy promoting advantage (e.g., toll avoidance); a travel time consistency promoting advantage (e.g., a lane 104 providing a more consistent and/or predictable travel time); an emissions reducing advantage; a travel time reducing advantage; a driving safety promoting advantage; a vehicle proximity reducing advantage (e.g., a less crowded lane 104 ); a traffic congestion avoiding advantage; a construction zone avoiding advantage; a causeway hazard avoiding advantage; and a smooth driving experience promoting advantage (e.g., a lane 104 that provides a more consistent and/or comfortable driving route).
  • the techniques presented herein may be implemented in a variety of architectures.
  • the techniques presented herein may be implemented in a device 202 aboard a vehicle 106 ; by a first device 202 aboard a first vehicle 106 in communication with a second device 202 aboard a second vehicle 106 (e.g., interoperating devices 202 that enable a collective determination of the advantageous lane 208 of the causeway 102 ); by a first device 202 aboard a vehicle 106 in communication with a second device 202 that is transiently or permanently stationary on or near the causeway 102 ; and/or by a first device 202 aboard a vehicle 106 in communication with a remote device 202 that is accessible over a wireless communication protocol, such as a radio, cellular, or WiFi communications network.
  • a wireless communication protocol such as a radio, cellular, or WiFi communications network.
  • the comparison 420 and determination of an advantageous lane 416 of the causeway 102 may be determined by a device 202 on behalf of a vehicle 106 storing the device 202 ; by a device 202 aboard a first vehicle 106 on behalf of a second vehicle 106 ; and/or by a remote device 202 , such as a server providing a lane change suggestions service.
  • FIG. 7 presents an illustration of an example scenario 700 featuring an example architecture for implementing the techniques presented herein among a set of devices.
  • respective vehicles 106 comprise a device 202 that presents lane change suggestions 208 to the driver 108 of the vehicle 106 in accordance with the techniques presented herein.
  • the information from one or more devices 202 is provided to a server 702 that is configured to perform an advantageous lane evaluation 702 (e.g., the example method 500 of FIG.
  • the server 702 transmits 708 (e.g., through multicast or broadcast) the advantageous lane 208 over a communications network 706 (e.g., a radio network, a cellular network, and/or a computer network such as the Internet) to the devices 202 on board the vehicles 106 , which in turn present a lane change suggestion of the advantageous lane 208 to the drivers 108 of the vehicles 106 .
  • a communications network 706 e.g., a radio network, a cellular network, and/or a computer network such as the Internet
  • a second aspect that may vary among embodiments of these techniques relates to the manner of detecting the current lane 414 of the vehicle 106 .
  • Many such techniques may be utilized for current lane detection, and some devices 202 may combine multiple techniques for added accuracy and/or verification.
  • FIG. 8 presents an illustration of an example scenario 800 featuring a causeway 102 with three lanes 104 , wherein a vehicle 106 traveling in each lane 104 detects the current lane 414 using a different technique.
  • a device 202 aboard a first vehicle 802 may comprise a lane identifier map 806 specifying, for respective locations 808 , a lane 104 of the causeway 102 that is associated with the location 808 .
  • the device 202 may therefore detect the current lane 414 occupied by the first vehicle 802 by receiving from a geolocator device 804 (e.g., a global positioning system (GPS) receiver) a current location 808 of the first vehicle 802 , and determining the current lane 414 occupied by the first vehicle 802 according to the current location 808 and the lane identifier map 806 .
  • a geolocator device 804 e.g., a global positioning system (GPS) receiver
  • GPS global positioning system
  • a second vehicle 810 may comprise a camera 812 configured to capture an image 814 of the causeway 102 , and may detect the current lane 414 occupied by the second vehicle 810 by evaluating the image 814 of the causeway 102 .
  • visual indicators such as lane lines and reflectors, may be automatically detected to determine the course of the causeway 102 , the number of lanes 104 in the causeway 102 , and the position of the vehicle 106 related thereto.
  • a third vehicle 816 may comprise a detector 818 that receives lane indications from a lane indicator service, where the lane indication 820 identifies the current lane 414 occupied by the third vehicle 816 .
  • respective lanes 104 may comprise a near-field transmitter device (e.g., a radiofrequency identifier (RFID) tag) broadcasting an identification of the current lane 414 that is receivable by a near-field detector.
  • RFID radiofrequency identifier
  • a device in visual contact with the causeway 102 may determine the locations of respective vehicles 106 traveling thereupon, and may transmit to each vehicle 106 an identification of the current lane 414 of the vehicle 106 .
  • FIG. 9 presents an illustration of an example scenario 700 featuring a fourth variation of this second aspect, wherein the lane 104 of the causeway 102 occupied by a vehicle 106 of the driver 108 is detected according to a proximity sensor 902 of the vehicle 106 that includes a variety of techniques, such as visual evaluation of camera data; ranging data gathered by sonar, radar, and/or lidar detection; and/or electronic communication with other vehicles 106 operating on the causeway 104 .
  • a proximity sensor 902 of the vehicle 106 that includes a variety of techniques, such as visual evaluation of camera data; ranging data gathered by sonar, radar, and/or lidar detection; and/or electronic communication with other vehicles 106 operating on the causeway 104 .
  • the vehicle 106 is equipped with a proximity sensor 902 that detects a proximity of the vehicle 106 with respect to other vehicles 106 operating on the causeway 102 , such as a distance 904 between the vehicle 106 and another vehicle 106 that is ahead of and/or behind the vehicle 106 of the driver 108 ; the relative speeds of the vehicles 106 ahead of and/or behind the driver 108 ; and/or the rates of acceleration, braking, turning, and/or swerving by the driver 108 and the drivers 108 of the other vehicles 106 .
  • a proximity sensor 902 that detects a proximity of the vehicle 106 with respect to other vehicles 106 operating on the causeway 102 , such as a distance 904 between the vehicle 106 and another vehicle 106 that is ahead of and/or behind the vehicle 106 of the driver 108 ; the relative speeds of the vehicles 106 ahead of and/or behind the driver 108 ; and/or the rates of acceleration, braking, turning, and/or swerving by the driver 108 and the drivers
  • the proximity sensor 902 may also detect information about vehicles 106 in other lanes 104 of the causeway 102 , such as the relative or absolute speeds of vehicles 106 in adjacent lanes 104 , and/or whether or not such vehicles 106 are passing 906 and/or are being passed by the vehicle 106 of the driver 108 .
  • the device 202 may transmit 908 the information detected by the proximity sensor 902 to a travel service 912 , e.g., as a lane condition report 910 indicating the conditions of the respective lanes 104 of the causeway 102 , optionally including information about other (e.g., adjacent) lanes 104 of the causeway 102 and/or vehicles 106 utilizing such lanes 104 , and/or information about the driver 108 and/or the other vehicles 106 traveling along the causeway 102 , such as the travel duration between a first location and a second location of the causeway.
  • a travel service 912 e.g., as a lane condition report 910 indicating the conditions of the respective lanes 104 of the causeway 102 , optionally including information about other (e.g., adjacent) lanes 104 of the causeway 102 and/or vehicles 106 utilizing such lanes 104 , and/or information about the driver 108 and/or the other vehicles 106 traveling along the causeway 102 , such as
  • FIG. 10 presents an illustration of example scenarios 1000 featuring a fifth set of variations of this second aspect, wherein the lanes 104 and/or lane conditions of the respective lanes 104 of the causeway 102 are determined by a machine vision technique 1008 .
  • a device 202 on board the vehicle 106 may include and/or be in communication with a forward-mounted camera 1002 that captures a forward-facing image 1004 (e.g., through a windshield 1006 of the vehicle 106 ).
  • a machine vision technique 1008 may be applied to the image 1004 , such as a line detection algorithm that is configured to detect visible lines indicating the respective lanes 104 of the causeway 102 .
  • the position of the vehicle 106 on the causeway 102 may also be extrapolated by the machine vision technique 1008 , and may therefore be utilized to determine the selected lane that is currently occupied by the vehicle 106 .
  • other machine vision techniques may be applied to the image 1004 to detect the lane conditions of the lanes 104 of the causeway 102 , such as object recognition to detect and optionally count a number of visible vehicles 106 ahead of the vehicle 106 of the drive 108 in the respective lanes 104 , and/or visual sizing machine vision techniques that estimate a distance of vehicles 106 ahead of the vehicle 106 of the driver 108 .
  • a downward-facing camera 1002 may capture a downward-facing image 1004 of the causeway 102
  • a line detection machine vision technique 1008 may be utilized to detect the visible lines indicating the lanes 104 of the causeway 102 , and/or the selected lane that is currently occupied by the vehicle 106 of the driver 108 .
  • a third aspect that may vary among embodiments of these techniques involves the manner of transmitting travel conditions 418 of the lanes 104 of the causeway 102 to a travel service for evaluation, which may enable the travel service to notify the devices 202 on board various vehicles 104 of developments in the travel conditions 418 of the causeway 102 .
  • FIG. 11 presents an illustration of an example scenario 1100 featuring a collection of travel reports about the lanes 104 of a causeway 102 .
  • a set of vehicles 106 is operated by a set of drivers 108 on a causeway 102
  • information about the lanes 104 of the causeway 102 may be collected by a travel service 912 as a set of travel reports, including such information as the vehicles 106 in each lane 104 ; the travel duration of each vehicle 106 in each lane 104 ; and other information, such as lane costs during the observed period.
  • Such travel reports may be collected from devices 202 on board the vehicles 106 ; from the drivers 108 of such vehicles 106 ; from toll booths 1102 , traffic cameras 1104 , or other forms of path monitoring; and/or from aerial surveillance, such as from a drone 1106 .
  • the travel reports may be transmitted to the travel service 912 in a variety of ways, including the internet 1108 and radio transmissions 1110 , and may be stored by the travel service 912 to facilitate the evaluation of information about the respective lanes 104 of the causeway, including incidents that may enable a suggestion to a driver 108 operating a vehicle 106 on the causeway 102 to transition to a more advantageous lane.
  • Many techniques may be utilized to detect and collect information about the lanes 104 of the causeway 102 in accordance with the techniques presented herein.
  • a fourth aspect that may vary among embodiments of these techniques involves the evaluation of travel conditions 418 of the lanes 104 of the causeway 102 , and the selection of an advantageous lane 208 among the lanes 104 of the causeway 102 .
  • many types of travel conditions 418 may be evaluated to arrive at the determination of the advantageous lane 416 , including past, current, and/or predicted traffic congestion 110 ; causeway surface evaluation; past, current, and/or predicted weather conditions; the preferences of the driver 108 ; and/or details of the vehicle 106 (e.g., cargo weight).
  • the travel conditions of the lanes 104 of the causeway 102 may be evaluated within a distance threshold of a location of the vehicle 106 (e.g., for one mile of the causeway 102 ahead of the vehicle 106 , and/or for one mile of a current route of the vehicle 106 ).
  • a device 202 aboard a vehicle 106 may receive, from a causeway descriptor service, a current lane condition of the current lane 414 , and a second lane condition of the advantageous lane 416 (e.g., an accumulation of water and/or ice in each lane 104 of a road), and may determine the advantageous lane 416 by comparing the current lane condition and the second lane condition.
  • a causeway descriptor service e.g., a current lane condition of the current lane 414
  • a second lane condition of the advantageous lane 416 e.g., an accumulation of water and/or ice in each lane 104 of a road
  • a device 202 aboard a vehicle 106 may evaluate a first image of the current lane 414 to detect a current lane available vehicle capacity of the current lane 414 (e.g., counting the number of vehicles 106 occupying the current lane 414 ahead of the vehicle 106 ); evaluate a second image of a second lane 104 to detect a second lane available vehicle capacity of the second lane 104 ; and, upon determining that the second lane available vehicle capacity is higher than the current lane available vehicle capacity (e.g., that the second lane 104 has fewer vehicles 106 than the current lane 414 ), identify the second lane as the advantageous lane 416 .
  • a device 202 aboard a vehicle 106 may detect a first vehicle speed of at least one vehicle 106 in the current lane 414 ; detect a second vehicle speed of at least one vehicle 106 in a second lane 104 ; and, upon determining that the second vehicle speed is higher than the current lane vehicle speed, identifying the second lane 104 as the advantageous lane 416 .
  • a device 202 having a camera 812 may evaluate an image 814 of the current lane 414 to detect an obstruction affecting the current lane 414 , and evaluate an image of the advantageous lane 416 to detect an avoidance of the obstruction by the advantageous lane 416 (e.g., using machine vision techniques to detect an obstruction of the causeway 102 , as well as a lane 104 providing a path around the obstruction).
  • a server 702 may determine the travel conditions 418 through the evaluation of information aggregated from a variety of vehicles 106 .
  • the server 702 may receive, from at least one vehicle 106 operating on the causeway 102 , at least one driving input involving at least one lane 104 of the causeway 102 (e.g., detecting that drivers 108 in a particular lane 104 are frequently braking or swerving), and may identify the travel condition 418 of the respective lanes 104 based on the driving inputs for the vehicles 106 operating in the lane 104 .
  • the comparison 420 may be performed in view of many aspects of the travel conditions 418 .
  • respective travel conditions 418 may be associated with a weight indicating its significance in the comparison 420 (e.g., an improvement in driving safety may be considered more advantageous than a reduction in travel time duration).
  • the preferences of respective drivers 108 may be considered in the comparison 420 , such as the comparative significance and value of fuel economy and travel time to the driver 108 , in identifying an advantageous lane 416 among the lanes 104 of the causeway 102 .
  • a device 202 aboard a vehicle 106 may also notify the driver 108 of the advantage 206 conferred by the advantageous lane 416 as part of the lane change suggestion 208 , and/or may provide alternative lane change suggestions 208 respectively presenting an advantage 206 (e.g., a first advantageous lane 416 providing a fuel economy advantage 206 , and a second advantageous lane 416 providing a travel time reducing advantage 206 ).
  • an advantage 206 e.g., a first advantageous lane 416 providing a fuel economy advantage 206 , and a second advantageous lane 416 providing a travel time reducing advantage 206 .
  • some lanes 104 of a causeway 102 may only be utilized under certain conditions.
  • respective lanes 104 may have an occupancy minimum (e.g., a high occupancy vehicle (“HOV”) lane that may only be utilized legally by vehicles 104 having at least a minimum number of passengers).
  • a device 202 may determine a current occupancy of the vehicle 106 (e.g., by detecting and evaluating symbols painted on the lanes 104 of the causeway 102 , and/or signs positioned near the causeway 102 ), and may select a lane 104 as an advantageous lane 416 only if the current occupancy of the vehicle satisfies the occupancy minimum of the lane 104 .
  • a toll lane may be usable only in exchange for paying a toll (e.g., signing up to an automated toll-paying service), and a device 202 may select the lane 104 as an advantageous lane 416 only if the toll may be paid by the vehicle 106 and/or the driver 108 .
  • a device 202 may select the lane 104 as an advantageous lane 416 only if the toll may be paid by the vehicle 106 and/or the driver 108 .
  • a fifth aspect that may vary among embodiments of the techniques presented herein relates to the manner of presenting lane change suggestions 208 to a driver 108 of a vehicle 106 .
  • the lane change suggestion 208 may be presented to the driver 108 through various communications modalities, such as a visual text message; a visual symbol presented on a display; a map or photographic image; an audio cue, such as a spoken message; or through haptic feedback.
  • various communications modalities such as a visual text message; a visual symbol presented on a display; a map or photographic image; an audio cue, such as a spoken message; or through haptic feedback.
  • FIG. 12 presents an illustration of an example scenario 1200 featuring a second variation of this fifth aspect, wherein a device 202 aboard a vehicle 106 may determine a suggestion window within which the vehicle 106 is safely transferable to the advantageous lane 416 , and present the lane change suggestion 208 of the advantageous lane 416 to the driver 108 only within the suggestion window.
  • the advantageous lane 416 may comprise a right lane 104 of a causeway 102 having the advantage 206 of easier access to an exit ramp 118 . It may be desirable to present the lane change suggestion 208 in advance of an exit location 1202 where the driver 108 follows the exit lane 118 .
  • a set of pylons 1206 may exist that impose a barrier between the lanes 104 , and presenting the lane change suggestion 208 to the driver 108 at the current location 1204 may jeopardize the safety of the vehicle 106 and the driver 108 .
  • the device 202 aboard the vehicle 108 may select a lane change suggestion location 1208 that is past the set of pylons 1206 , and may present the lane change suggestion 208 upon detecting the vehicle 106 arriving at the lane change suggestion location 1208 .
  • the lane change suggestion 208 may be presented to the driver 108 only while the vehicle 106 is safely transferable across the at least one intervening lane (e.g., while no other vehicles 106 are present in the intervening lane).
  • the advantageous lane 416 may comprise the current lane 414 that is currently occupied by the vehicle 106 , and the lane change suggestion 208 .
  • the device 202 may refrain from presenting the lane change suggestion 208 (e.g., not presenting any notification to the driver 108 when the current lane 414 is the advantageous lane 416 ).
  • a device 202 may present to the driver 108 a lane change suggestion 208 comprising a suggestion to maintain the current lane 414 instead of transitioning to the second lane.
  • a device 202 may identify the advantageous lane 416 in various ways. As a first such example, the device 202 may describe the advantageous lane 416 relative to the current lane 414 (e.g., “move one lane to the right”), or relative to the causeway 102 (e.g., “move to the rightmost lane”). As a second such example, a device 202 may present to the driver 108 an explanation of the advantage 206 of the advantageous lane 416 compared with the current lane 414 (e.g., “move one lane to the right to avoid an accident in this lane”).
  • FIG. 13 presents an illustration of an example scenario 1300 featuring a third such example of this fourth variation of this fifth aspect, wherein the driver 108 operates the 106 while viewing the causeway 102 through a window 1302 , such as a front windshield of the vehicle 106 , or eyewear, such as goggles or glasses, upon which visual cues may be depicted for the driver 108 .
  • a device 202 (such as a controller operating a pair of eyewear, or a display component embedded in a windshield of the vehicle 106 ) may display the lane change 208 on the window 1302 .
  • a device 202 may position the lane change suggestion 208 on the window 1302 to visually indicate the advantageous lane 416 (e.g., overlaying a visual marker 1304 or shading indicating the advantageous lane 416 , and/or a pointer 1306 indicating the advantageous lane 416 ).
  • a visual marker 1304 or shading indicating the advantageous lane 416 e.g., overlaying a visual marker 1304 or shading indicating the advantageous lane 416 , and/or a pointer 1306 indicating the advantageous lane 416 .
  • FIG. 14 and the following discussion provide a brief, general description of a suitable computing environment to implement embodiments of one or more of the provisions set forth herein.
  • the operating environment of FIG. 14 is only one example of a suitable operating environment and is not intended to suggest any limitation as to the scope of use or functionality of the operating environment.
  • Example computing devices include, but are not limited to, personal computers, server computers, hand-held or laptop devices, mobile devices (such as mobile phones, Personal Digital Assistants (PDAs), media players, and the like), multiprocessor systems, consumer electronics, mini computers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
  • Computer readable instructions may be distributed via computer readable media (discussed below).
  • Computer readable instructions may be implemented as program modules, such as functions, objects, Application Programming Interfaces (APIs), data structures, and the like, that perform particular tasks or implement particular abstract data types.
  • APIs Application Programming Interfaces
  • the functionality of the computer readable instructions may be combined or distributed as desired in various environments.
  • FIG. 14 illustrates an example of a system 1400 comprising a computing device 1402 configured to implement one or more embodiments provided herein.
  • computing device 1402 includes at least one processing unit 1406 and memory 1408 .
  • memory 1408 may be volatile (such as RAM, for example), non-volatile (such as ROM, flash memory, etc., for example) or some combination of the two. This configuration is illustrated in FIG. 14 by dashed line 1404 .
  • device 1402 may include additional features and/or functionality.
  • device 1402 may also include additional storage (e.g., removable and/or non-removable) including, but not limited to, magnetic storage, optical storage, and the like.
  • additional storage e.g., removable and/or non-removable
  • FIG. 14 Such additional storage is illustrated in FIG. 14 by storage 1410 .
  • computer readable instructions to implement one or more embodiments provided herein may be in storage 1410 .
  • Storage 1410 may also store other computer readable instructions to implement an operating system, an application program, and the like.
  • Computer readable instructions may be loaded in memory 1408 for execution by processing unit 1406 , for example.
  • Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions or other data.
  • Memory 1408 and storage 1410 are examples of computer storage media.
  • Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVDs) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by device 1402 . Any such computer storage media may be part of device 1402 .
  • Device 1402 may also include communication connection(s) 1416 that allows device 1402 to communicate with other devices.
  • Communication connection(s) 1416 may include, but is not limited to, a modem, a Network Interface Card (NIC), an integrated network interface, a radio frequency transmitter/receiver, an infrared port, a USB connection, or other interfaces for connecting computing device 1402 to other computing devices.
  • Communication connection(s) 1416 may include a wired connection or a wireless connection. Communication connection(s) 1416 may transmit and/or receive communication media.
  • Computer readable media may include communication media.
  • Communication media typically embodies computer readable instructions or other data in a “modulated data signal” such as a carrier wave or other transport mechanism and includes any information delivery media.
  • modulated data signal may include a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
  • Device 1402 may include input device(s) 1414 such as keyboard, mouse, pen, voice input device, touch input device, infrared cameras, video input devices, and/or any other input device.
  • Output device(s) 1412 such as one or more displays, speakers, printers, and/or any other output device may also be included in device 1402 .
  • Input device(s) 1414 and output device(s) 1412 may be connected to device 1402 via a wired connection, wireless connection, or any combination thereof.
  • an input device or an output device from another computing device may be used as input device(s) 1414 or output device(s) 1412 for computing device 1402 .
  • Components of computing device 1402 may be connected by various interconnects, such as a bus.
  • Such interconnects may include a Peripheral Component Interconnect (PCI), such as PCI Express, a Universal Serial Bus (USB), firewire (IEEE 1394), an optical bus structure, and the like.
  • PCI Peripheral Component Interconnect
  • USB Universal Serial Bus
  • IEEE 1394 Firewire
  • optical bus structure an optical bus structure, and the like.
  • components of computing device 1402 may be interconnected by a network.
  • memory 1408 may be comprised of multiple physical memory units located in different physical locations interconnected by a network.
  • a computing device 1420 accessible via network 1418 may store computer readable instructions to implement one or more embodiments provided herein.
  • Computing device 1402 may access computing device 1420 and download a part or all of the computer readable instructions for execution.
  • computing device 1402 may download pieces of the computer readable instructions, as needed, or some instructions may be executed at computing device 1402 and some at computing device 1420 .
  • a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer.
  • an application running on a controller and the controller can be a component.
  • One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers.
  • the claimed subject matter may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed subject matter.
  • article of manufacture as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media.
  • one or more of the operations described may constitute computer readable instructions stored on one or more computer readable media, which if executed by a computing device, will cause the computing device to perform the operations described.
  • the order in which some or all of the operations are described should not be construed as to imply that these operations are necessarily order dependent. Alternative ordering will be appreciated by one skilled in the art having the benefit of this description. Further, it will be understood that not all operations are necessarily present in each embodiment provided herein.
  • the word “example” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “example” is not necessarily to be construed as advantageous over other aspects or designs. Rather, use of the word example is intended to present concepts in a concrete fashion.
  • the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances.
  • the articles “a” and “an” as used in this application and the appended claims may generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Business, Economics & Management (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Automation & Control Theory (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Finance (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Development Economics (AREA)
  • Atmospheric Sciences (AREA)
  • Mathematical Physics (AREA)
  • Strategic Management (AREA)
  • Mechanical Engineering (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Transportation (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Medical Informatics (AREA)
  • Computer Security & Cryptography (AREA)
  • Marketing (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Cardiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biomedical Technology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Pathology (AREA)

Abstract

Various types of vehicle navigation may facilitate a driver of a vehicle, including lane suggestions (e.g., a message indicating that the current route of the vehicle involves an exit from the rightmost lane of a causeway). A device may be configured to formulate lane change suggestions by detecting a current lane of the driver; comparing the travel conditions of the current lane with the travel conditions of other lanes of the causeway; and presenting a lane change suggestion of another lane presenting advantageous travel conditions as compared with the current lane. The inclusion of the current lane in the selection and formulation of lane change suggestions may improve the relevance of the suggestions (e.g., presenting lane change suggestions only if the travel condition of another lane is advantageous over the current lane, and presenting lane change suggestions relative to the current lane, e.g., “move two lanes to the left”).

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • The present application claims priority under 35 U.S.C. §119(e) to U.S. Patent Application No. 61/946,962, filed on Mar. 3, 2014, the entirety of which is incorporated by reference as if fully rewritten herein.
  • BACKGROUND
  • Within the field of computing, many scenarios involve a vehicle traveling on a causeway featuring at least two lanes of travel, such as an automobile traveling on a road with at least two lanes, or a watercraft traveling in a waterway with at least two lanes. In these scenarios, a device may provide a variety of location-based information to assist with navigation, such as a map, a depiction of an automatically or manually designated navigation route, and areas of obstacles such as traffic congestion. In particular, a navigation device may advise a driver of the vehicle as to lane suggestions; e.g., a navigation device may indicate to the driver that a route involves an exit from a rightmost lane of the causeway, and may suggest that the driver occupy the right rightmost lane in order to follow the route.
  • SUMMARY
  • This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key factors or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
  • While the presentation of regional (including navigation) information including suggestions for lane selection may be advantageous, such advantages are often limited in both the evaluation and the presentation of lane suggestions. As a first example, while pre-programmed lane suggestions may be helpful (e.g., a routing database may indicate that a route between two points involves an exit from the rightmost lane), but additional suggestions may be identified based on the evaluation of travel conditions in each lane (e.g., current traffic congestion in each lane, or the presence of an obstacle such as a collision in a particular lane), and the comparison of the travel conditions of the respective lanes of the causeway. As a second example, the device that is configured to detect the lane currently occupied by the vehicle may also indicate to the driver whether another lane is more advantageous than the current lane (e.g., that the lane to the left of the vehicle is less congested than the current lane). Such detection and comparison may enable a selective presentation of lane change suggestions (e.g., not suggesting a lane to the driver if the current lane is optimal), and/or the presentation more contextually relevant lane change suggestions (e.g., rather than depicting or speaking “the second lane,” which may be confusing in a multi-lane causeway, a device may advise the driver to “move two lanes to the left”), as well as refraining from presenting unhelpful lane suggestions (e.g., advising the driver that a particular lane is optimal when the driver is already occupying the lane, thus disadvantageously distracting the attention of the driver and possibly confusing the navigation).
  • In view of these and other advantages, the present disclosure provides a variety of techniques for selecting and presenting lane change suggestions. In an embodiment, a device may facilitate a driver of a vehicle operating on a causeway having at least two lanes by detecting, among the lanes of the causeway, a current lane that is occupied by the vehicle; for respective lanes, identifying a travel condition; identifying an advantageous lane of the causeway having a travel condition presenting an advantage over the travel condition of the current lane; and presenting to the driver a suggestion to transfer the vehicle to the advantageous lane. These and other variations of the techniques herein may enable the presentation of lane change suggestions, in a manner that is contextually related to the current lane of the user, in accordance with the techniques presented herein.
  • To the accomplishment of the foregoing and related ends, the following description and annexed drawings set forth certain illustrative aspects and implementations. These are indicative of but a few of the various ways in which one or more aspects may be employed. Other aspects, advantages, and novel features of the disclosure will become apparent from the following detailed description when considered in conjunction with the annexed drawings.
  • DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is an illustration of an example scenario featuring driving suggestions.
  • FIG. 2 is an illustration of an example scenario featuring a device facilitating a driver of a vehicle through the presentation of lane change suggestions that are contextually related to the current lane of the vehicle, in accordance with the techniques presented herein.
  • FIG. 3 is an illustration of an example method of facilitating a driver of a vehicle through the presentation of lane change suggestions in accordance with the techniques presented herein.
  • FIG. 4 is a component block diagram of an example system for facilitating a driver of a vehicle through the presentation of lane change suggestions in accordance with the techniques presented herein.
  • FIG. 5 is an illustration of an example scenario featuring the facilitation of drivers of vehicles through the presentation of lane change suggestions in accordance with the techniques presented herein.
  • FIG. 6 is an illustration of an example computer-readable medium comprising processor-executable instructions configured to embody one or more of the provisions set forth herein.
  • FIG. 7 is an illustration of an example scenario featuring a server configured to evaluate the travel conditions of respective lanes of a causeway, and to advise a set of drivers on a causeway of lane change suggestions, in accordance with the techniques presented herein.
  • FIG. 8 is an illustration of an example scenario featuring various techniques for configuring a device of a vehicle to detect a current lane, and/or the travel conditions of various lanes of a causeway, in accordance with the techniques presented herein.
  • FIG. 9 is an illustration of an example scenario featuring additional techniques for configuring a device of a vehicle to detect a current lane, and/or the travel conditions of various lanes of a causeway, in accordance with the techniques presented herein.
  • FIG. 10 is an illustration of an example scenario featuring additional techniques for configuring a device of a vehicle to detect a current lane, and/or the travel conditions of various lanes of a causeway, in accordance with the techniques presented herein.
  • FIG. 11 is an illustration of an example scenario featuring a collection of lane information by a travel service, in accordance with the techniques presented herein.
  • FIG. 12 is an illustration of an example scenario featuring the presentation of a lane change suggestion within a lane change suggestion window, in accordance with the techniques presented herein.
  • FIG. 13 is an illustration of an example scenario featuring a presentation of lane change suggestions on a window through which the driver observes the operation of the vehicle, in accordance with the techniques presented herein.
  • FIG. 14 illustrates an example computing environment wherein one or more of the provisions set forth herein may be implemented.
  • DETAILED DESCRIPTION
  • The claimed subject matter is now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the claimed subject matter. It may be evident, however, that the claimed subject matter may be practiced without these specific details. In other instances, structures and devices are shown in block diagram form in order to facilitate describing the claimed subject matter.
  • A. Introduction
  • In the field of vehicle computing, many types of devices and services may be provided that facilitate the driver of a vehicle, such as mapping, navigation, routing, and travel condition advisories. The computations of the devices may result in various types of suggestions that may facilitate the driver of the vehicle, and the presentation of such suggestions to the driver (e.g., as visual text, graphical icons, maps, photographic images, three-dimensional renderings, audio cues, spoken text, and/or haptic feedback) to signal the suggestions to the driver.
  • FIG. 1 presents an illustration of various scenarios in which suggestions may be presented to facilitate a driver 108 operating a vehicle 106 operating on a causeway 102 having at least two lanes 104. In a first example scenario 100, a detection of traffic congestion 110 ahead on the causeway 102 due to a collision 114 between vehicles 106 may result in a notification 112 to the driver of the upcoming traffic congestion 110, which may prompt the driver 108 to slow down or to select an alternate route. In a second example scenario 116, the driver 108 may request routing from an origin location to a destination location, and a navigation device or service may determine that a next direction along the route involves taking an exit ramp 118 that is accessible from the right lane 104 of the causeway 102. A notification 112 may therefore be presented to the driver 108 of the vehicle 106 to exit the causeway 102 from the right lane 104. In a third example scenario 120, an emergency vehicle 122 may be approaching a set of vehicles 106 on a causeway 102, and a device may present to a driver 108 of a vehicle 106 within the vehicle set a notification 112 alerting the driver 108 of the approaching emergency vehicle 102, which may enable the driver 108 to make room for the passage of the emergency vehicle 122.
  • B. Presented Techniques
  • While the notifications 112 presented in the example scenarios presented in FIG. 1 may facilitate the driver 106 of the vehicle 108, it may be appreciated that some disadvantages may arise within these scenarios. In the first example scenario 100, the notification 112 advises the driver 108 of approaching traffic congestion 110, but does not inform the driver 108 that the traffic congestion 110 is caused by a collision in a particular lane 104, and that moving the vehicle 106 to the other lane 104 may facilitate the driver 108 in quickly and safely avoiding the source of the traffic congestion 110. In the second example scenario 116, the notification 112 advises the driver 108 that the exit ramp 118 is accessible from the right lane 104, but such an instruction may be misinterpreted as an instruction to change lanes 104, possibly misdirecting the driver 108. Such confusion may particularly arise, e.g., where the causeway 102 presents a large number of lanes 104 and the notification 112 attempts to describe a particular lane 104 (e.g., instructing the driver 108 to occupy the third of six lanes 104). Alternatively or additionally, the instruction may be moot because the vehicle 106 already occupies the designated lane 104, and presenting the notification 112 may unhelpfully confuse or distract the driver 108. In the third example scenario 120, the notification 112 informs the driver 180 of the approaching emergency vehicle 122, but the driver 108 may not be able to see the lane occupied by the emergency vehicle 122, and may inadvertently block the passage of the emergency vehicle 122 (e.g., by inducing the driver 108 to change lanes 104 into the path of the emergency vehicle 122). These and other scenarios illustrate the limitations of some notifications 112 presented to the driver 108 that do not utilize the context of the driver 108 and/or the vehicle 106.
  • Instead, in each of the example scenarios of FIG. 1, a device that is configured to determine, among the lanes 104 of a causeway 102, the current lane 104 of the vehicle 106 may further choose the notifications 112 in the context of the current lane 104 of the vehicle 106. Using the context of the current lane 104 of the vehicle 106 may enable the presentation not just of notifications 112, but of lane change suggestions—i.e., suggestions that the driver 108 change the lane 104 of the vehicle 102 in order to achieve a particular type of advantage.
  • FIG. 2 presents illustrations of example scenarios where the detection of a current lane 104 of a vehicle 106 may enable a device 202 to facilitate a driver 108 in the operation of the vehicle 106 in the context of the current lane 104. In particular, rather than presenting notifications 112 outside of the context of the vehicle 108, these techniques involve presenting lane change suggestions 208 that encourage the user 108 to change the lane 104 of the vehicle 106 based on a perceived advantage 206 identified through a comparison of travel conditions of respective lanes 104. In a first example scenario 200, in addition to detecting imminent traffic congestion 110 caused by a collision 114, the device 202 may perform a lane determination 204 that the vehicle 106 is in a right lane 114, compare the travel condition of the current lane 104 with the travel condition of another lane, and may identify an advantage 206 from switching from the current lane 104 to an advantageous lane 104 (e.g., determining that switching to the left lane may enable the vehicle 106 to avoid the traffic obstacle caused by the collision 114). The device 202 may therefore present a lane change suggestion 208 indicating that the driver 108 should move to the left lane 104. In a second example scenario 210, two vehicles 106 may respectively occupy a left lane 104 and a right lane 104 of a causeway 102, and both may be approaching an exit ramp 118 included in the directions for a route of each vehicle 106. If a device 202 is configured in the manner of the second example scenario 116 of FIG. 1, a notification 112 might be presented to each vehicle 106, but may be confusing if not specified relative to the current lane 104 of the vehicle 106. Rather, each device 202 may perform a lane determination 204 of the current lane 104 of the vehicle 106. The first vehicle 106 occupying the left lane may determine that an advantage 206 exists for changing to the right lane 104 (e.g., complying with the routing directions), and may therefore present a lane change suggestion 208 to change the lane 104 of the vehicle 106 to the right lane. However, the device 202 of the second vehicle 106 may determine that no advantage 206 exists for changing to the left lane 104, and may therefore refrain from presenting a lane change suggestion 208, e.g., thus reducing the distraction and possible confusion of the driver 108 resulting form the presentation of a moot notification 112. In a third example scenario 212, a device 202 detecting an approaching emergency vehicle 122, and may perform a lane determination 204 of the current lane 104 for comparison with the lane 104 of the emergency vehicle 122. Determining that the vehicle 106 occupies the same lane 104 as the emergency vehicle 122, and that changing lanes 104 may lead to an advantage 206 by avoiding the path of the emergency vehicle 122, the device 106 may present a lane change suggestion 208 indicating that the driver 108 should change to the right lane 104 to enable passage of the emergency vehicle 122. These and other scenarios may demonstrate the value of presenting lane change suggestions 208 in order to facilitate a user 108 in the operation of a vehicle 106 in accordance with the techniques presented herein.
  • C. Technical Effects
  • The techniques presented herein may provide a variety of technical effects in the scenarios provided herein.
  • As a first such example, the techniques provided herein may enable a determination of the status of a causeway 102, such as traffic conditions of various lanes of a road, based upon a collection of information about the lanes 104 of the causeway 102 from respective vehicles 108 traveling on the causeway 102. That is, while general traffic information about the causeway 102 may be derived from more generalized metrics such as the reported speeds of vehicles 108, such metrics may not provide a fully detailed account of the conditions of the respective lanes 104 of the causeway 102. For example, a discrepancy arising in a particular lane 104 of the causeway 102 as compared with the other lanes 104 of the causeway 102 may indicate the presence of an obstruction, such as traffic, a vehicular accident, or a pothole, which may otherwise be difficult to differentiate from a generalized traffic condition such as volume-induced congestion. Such indications may enable a determination of whether to advise the driver to transfer to a different lane 104, to maintain the present lane 104, or to detour to a different causeway 102 altogether.
  • As a second such example, the techniques provided herein may enable a more detailed evaluation of the conditions of the causeway, and therefore may provide more accurate determination of routing factors, such as an estimated travel duration and an estimated time of arrival. For example, if traffic congestion is detected along the route of the user, an estimated travel duration reported to the user may be updated to reflect a projected delay. The duration of the projected delay may be estimated based in part on whether the traffic congestion is confined to one of the lanes 104 of the causeway 102 and may therefore be avoidable, or whether the traffic congestion applies to all lanes 104 of the causeway 102. Additionally, the determination of the conditions of the lanes 104 of the causeway 102 may assist a navigation device with a determination of whether or not to re-route the user 102 through a different causeway 102 that may enable an avoidance of a travel delay affecting the current causeway 102 of the user. Moreover, such indications may enable a determination of the urgency of presenting the suggestion. For example, construction arising six miles ahead in the driver's lane of a road may prompt no suggestion, or a more generalized suggestion, such as a change of route; construction arising in the driver's lane on the road three miles ahead may prompt a suggestion to change lanes sometime in the next several minutes; and construction arising within the next mile may prompt an urgent recommendation to change lanes 104.
  • As a third such example, the techniques provided herein may enable more detailed notification of the lane change suggestion to the user 102. Such information may be presented to the user 102 in a timely manner (e.g., choosing an ideal moment to advise the user 102 to select a different lane 112), and/or may be based upon current or typical conditions for the respective lanes 104 of the causeway 102. For example, a user may be operating a vehicle 108 in a left lane 104 of the causeway 102, and may be embarking upon a route that involves a right turn from the right lane 104 two miles ahead. Based on the evaluation of the conditions of the lanes 104 of the causeway 102, a navigation device may decide whether to advise the user to switch to the right lane 104 as soon as possible (e.g., because traffic is developing in the left lane 104), or to remain in the left lane 104 until the turn is imminent (e.g., because traffic is developing in the right lane 104). In this manner, the navigation device may advise the user in the navigation of the vehicle 108 in a manner that is informed by the current conditions of the lanes 104 of the causeway 102 in accordance with the techniques presented herein.
  • D. Example Embodiments
  • FIG. 3 presents a first example embodiment of the techniques presented herein, illustrated as an example method 300 of facilitating a driver 108 in the operation of a vehicle 106 on a causeway 102 having at least two lanes 104. The example method 300 may involve a device 202 having a processor, and may be implemented, e.g., as a set of instructions stored in a memory component of a device (e.g., a memory circuit, a platter of a hard disk drive, a solid-state memory component, or a magnetic or optical disc) that, when executed by the processor of the device, cause the device 202 to perform the techniques presented herein. The example method 300 begins at 302 and involves executing 304 the instructions on the processor. Specifically, the instructions cause the device 202 to detect 306, among the at least two lanes 104 of the causeway 102, a current lane 104 that is occupied by the vehicle 106. The instructions also cause the device 202 to, for respective lanes 104, identify 308 a travel condition. The instructions also cause the device 202 to identify 310 an advantageous lane 104 of the causeway 102 having a travel condition that presents an advantage 206 over the travel condition of the current lane 104. The instructions also cause the device 202 to present 312 to the driver 108 of the vehicle 106 a lane change suggestion 208 to transfer the vehicle 106 to the advantageous lane 104. In this manner, the example method 300 of FIG. 3 achieves the facilitation of the operation of the vehicle 106 by the driver 108 by presenting lane change suggestions 208 relative to the current lane 104 of the vehicle 106, and so ends at 314.
  • FIG. 4 presents an illustration of an example scenario 400 featuring a second example embodiment of the techniques presented herein, illustrated as an example system 408 for facilitating a driver 108 in the operation of a vehicle 106. The example system 408 may be implemented, e.g., on a device 402 having a processor 404 and a memory 406. Respective components of the example system 408 may be implemented, e.g., as a set of instructions stored in the memory 406 of the device 402 and executable on the processor 404 of the device 402, such that the interoperation of the components causes the device 402 to operate according to the techniques presented herein. The example system 408 comprises a lane evaluating component 410, comprising instructions that, when executed on the processor 404, cause the device 402 to, while the vehicle 106 operates on a causeway 102 having at least two lanes 104, perform a lane detection 204 identifying, among the lanes 104 of the causeway 102, a current lane 414 that is occupied by the vehicle 106. The instructions of the lane detecting component 410 further cause the device 402 to, for respective lanes 104, identify a travel condition 416; and by performing a comparison 418 of the travel conditions 416 of the respective lanes 104, identify an advantageous lane 416 of the causeway 102 having a travel condition 418 presenting an advantage 206 over the travel condition 418 of the current lane 414. The example system 408 also comprises a lane change suggestion presenting component 412, comprising instructions that, when executed on a processor 404 of the device 402, cause the device 402 to present to the driver 108 a lane change suggestion 208 to transfer the vehicle 106 to the advantageous lane 416. The interoperation of the components of the example system 408 of FIG. 4 thereby achieves the selection and presentation of the lane change suggestion 208 and therefore facilitate the driver 108 in the operation of the vehicle 106.
  • FIG. 5 presents a third example embodiment of the techniques presented herein, illustrated as an example method 500 of facilitating drivers 108 of vehicles 106 operating on a causeway 102 having at least two lanes 104. The example method 500 may involve a device 202 having a processor, and may be implemented, e.g., as a set of instructions stored in a memory component of a device (e.g., a memory circuit, a platter of a hard disk drive, a solid-state memory component, or a magnetic or optical disc) that, when executed by the processor of the device, cause the device 202 to perform the techniques presented herein. The example method 500 begins at 502 and involves executing 504 the instructions on the processor. Specifically, the instructions cause the device 202 to, for respective lanes 104 of the causeway 102, identify 506 a travel condition 418. The instructions also cause the device 202 to, among the lanes 104 of the causeway 102, identify 508 at least one advantageous lane 416 of the causeway 102 presenting an advantage 206 over the other lanes 104 of the causeway 102. The instructions also cause the device 202 to notify 510 the vehicles 104 of the at least one advantageous lane 416 of the causeway 102. In this manner, the example method 500 of FIG. 5 achieves the facilitation of the operation of the vehicles 106 operating on the causeway 102 by the drivers 108, and so ends at 512.
  • A fourth embodiment of the techniques presented herein involves a computer-readable medium comprising processor-executable instructions configured to apply the techniques presented herein. Such computer-readable media may include, e.g., computer-readable storage media involving a tangible device, such as a memory semiconductor (e.g., a semiconductor utilizing static random access memory (SRAM), dynamic random access memory (DRAM), and/or synchronous dynamic random access memory (SDRAM) technologies), a platter of a hard disk drive, a flash memory device, or a magnetic or optical disc (such as a CD-R, DVD-R, or floppy disc), encoding a set of computer-readable instructions that, when executed by a processor of a device, cause the device to implement the techniques presented herein. Such computer-readable media may also include (as a class of technologies that are distinct from computer-readable storage media) various types of communications media, such as a signal that may be propagated through various physical phenomena (e.g., an electromagnetic signal, a sound wave signal, or an optical signal) and in various wired scenarios (e.g., via an Ethernet or fiber optic cable) and/or wireless scenarios (e.g., a wireless local area network (WLAN) such as WiFi, a personal area network (PAN) such as Bluetooth, or a cellular or radio network), and which encodes a set of computer-readable instructions that, when executed by a processor of a device, cause the device to implement the techniques presented herein.
  • An example computer-readable medium that may be devised in these ways is illustrated in FIG. 6, wherein the implementation 600 comprises a computer-readable medium 602 (e.g., a CD-R, DVD-R, or a platter of a hard disk drive), on which is encoded computer-readable data 604. This computer-readable data 604 in turn comprises a set of computer instructions 606 configured to operate according to the principles set forth herein. In a first such embodiment, the processor-executable instructions 606 may be configured to, when executed by a processor 612 of a device 610, cause the device 610 to facilitate a driver 108 in the operation of a vehicle 106 through the presentation of lane change suggestions 208, such as the example method 300 of FIG. 3. In a second such embodiment, the processor-executable instructions 606 may be configured to implement a system for advising a driver 108 in the operation of a vehicle 106 through the presentation of lane change suggestions 208, such as the example system 408 of FIG. 4. In a third such embodiment, the processor-executable instructions 606 may be configured to, when executed by a processor 612 of a device 610, cause the device 610 to facilitate drivers 108 in the operation of vehicles 106 operating on a causeway 102 by advising devices 202 on board the vehicles 106 of advantageous lanes 418 of the causeway 102, such as the example method 500 of FIG. 5. Some embodiments of this computer-readable medium may comprise a nontransitory computer-readable storage medium (e.g., a hard disk drive, an optical disc, or a flash memory device) that is configured to store processor-executable instructions configured in this manner. Many such computer-readable media may be devised by those of ordinary skill in the art that are configured to operate in accordance with the techniques presented herein.
  • E. Variable Aspects
  • The techniques discussed herein may be devised with variations in many aspects, and some variations may present additional advantages and/or reduce disadvantages with respect to other variations of these and other techniques. Moreover, some variations may be implemented in combination, and some combinations may feature additional advantages and/or reduced disadvantages through synergistic cooperation. The variations may be incorporated in various embodiments (e.g., the example method 300 of FIG. 3; the example system 408 of FIG. 4; the example method 500 of FIG. 5; and the example computer-readable storage device 602 of FIG. 6) to confer individual and/or synergistic advantages upon such embodiments.
  • E1. Scenarios
  • A first aspect that may vary among embodiments of these techniques relates to the scenarios wherein such techniques may be utilized.
  • As a first variation of this first aspect, the techniques presented herein may be used with many types of vehicles 106, including automobiles, motorcycles, trucks, buses, watercraft, aircraft, and spacecraft. Additionally, the techniques presented herein may be used to evaluate many types of multi-lane causeways 102, including walking and biking paths, roads, highways, railways, waterways, and airspaces. Such vehicles may be controlled by one or more humans, may be autonomous, or may involve a combination thereof, such as an autonomous automobile that can also be controlled by a human.
  • As a second variation of this first aspect, the techniques presented herein may be used to evaluate many types of advantages 206 in choosing an advantageous lane 416 over a current lane 414, such as a lane compliance with a route of the vehicle 106 (e.g., a lane 104 that the vehicle 106 is to occupy to fulfill a route); a fuel economy promoting advantage; a cost economy promoting advantage (e.g., toll avoidance); a travel time consistency promoting advantage (e.g., a lane 104 providing a more consistent and/or predictable travel time); an emissions reducing advantage; a travel time reducing advantage; a driving safety promoting advantage; a vehicle proximity reducing advantage (e.g., a less crowded lane 104); a traffic congestion avoiding advantage; a construction zone avoiding advantage; a causeway hazard avoiding advantage; and a smooth driving experience promoting advantage (e.g., a lane 104 that provides a more consistent and/or comfortable driving route).
  • As a third variation of this first aspect, the techniques presented herein may be implemented in a variety of architectures. As a first example, the techniques presented herein may be implemented in a device 202 aboard a vehicle 106; by a first device 202 aboard a first vehicle 106 in communication with a second device 202 aboard a second vehicle 106 (e.g., interoperating devices 202 that enable a collective determination of the advantageous lane 208 of the causeway 102); by a first device 202 aboard a vehicle 106 in communication with a second device 202 that is transiently or permanently stationary on or near the causeway 102; and/or by a first device 202 aboard a vehicle 106 in communication with a remote device 202 that is accessible over a wireless communication protocol, such as a radio, cellular, or WiFi communications network. As one such example, the comparison 420 and determination of an advantageous lane 416 of the causeway 102 may be determined by a device 202 on behalf of a vehicle 106 storing the device 202; by a device 202 aboard a first vehicle 106 on behalf of a second vehicle 106; and/or by a remote device 202, such as a server providing a lane change suggestions service.
  • FIG. 7 presents an illustration of an example scenario 700 featuring an example architecture for implementing the techniques presented herein among a set of devices. In this example scenario 700, respective vehicles 106 comprise a device 202 that presents lane change suggestions 208 to the driver 108 of the vehicle 106 in accordance with the techniques presented herein. The information from one or more devices 202, optionally including the current lane 414 of each vehicle 106, is provided to a server 702 that is configured to perform an advantageous lane evaluation 702 (e.g., the example method 500 of FIG. 5) to evaluate the travel conditions 418 of the lanes 104 and to identify an advantageous lane 208 (e.g., determining that the right lane 104 of the causeway 102 advantageously avoids vehicles 106 involved in a collision 114 in the left lane 104). The server 702 transmits 708 (e.g., through multicast or broadcast) the advantageous lane 208 over a communications network 706 (e.g., a radio network, a cellular network, and/or a computer network such as the Internet) to the devices 202 on board the vehicles 106, which in turn present a lane change suggestion of the advantageous lane 208 to the drivers 108 of the vehicles 106. These and other variations may be included in various embodiments of the techniques presented herein.
  • E2. Current Lane Detection
  • A second aspect that may vary among embodiments of these techniques relates to the manner of detecting the current lane 414 of the vehicle 106. Many such techniques may be utilized for current lane detection, and some devices 202 may combine multiple techniques for added accuracy and/or verification.
  • FIG. 8 presents an illustration of an example scenario 800 featuring a causeway 102 with three lanes 104, wherein a vehicle 106 traveling in each lane 104 detects the current lane 414 using a different technique. As a first variation of this second aspect, a device 202 aboard a first vehicle 802 may comprise a lane identifier map 806 specifying, for respective locations 808, a lane 104 of the causeway 102 that is associated with the location 808. The device 202 may therefore detect the current lane 414 occupied by the first vehicle 802 by receiving from a geolocator device 804 (e.g., a global positioning system (GPS) receiver) a current location 808 of the first vehicle 802, and determining the current lane 414 occupied by the first vehicle 802 according to the current location 808 and the lane identifier map 806.
  • As further illustrated in the example scenario 800 of FIG. 8, and as a second variation of this second aspect, a second vehicle 810 may comprise a camera 812 configured to capture an image 814 of the causeway 102, and may detect the current lane 414 occupied by the second vehicle 810 by evaluating the image 814 of the causeway 102. For example, visual indicators, such as lane lines and reflectors, may be automatically detected to determine the course of the causeway 102, the number of lanes 104 in the causeway 102, and the position of the vehicle 106 related thereto.
  • As further illustrated in the example scenario 800 of FIG. 8, and as a third variation of this second aspect, a third vehicle 816 may comprise a detector 818 that receives lane indications from a lane indicator service, where the lane indication 820 identifies the current lane 414 occupied by the third vehicle 816. As a first such example, respective lanes 104 may comprise a near-field transmitter device (e.g., a radiofrequency identifier (RFID) tag) broadcasting an identification of the current lane 414 that is receivable by a near-field detector. As a second such example, a device in visual contact with the causeway 102 may determine the locations of respective vehicles 106 traveling thereupon, and may transmit to each vehicle 106 an identification of the current lane 414 of the vehicle 106.
  • FIG. 9 presents an illustration of an example scenario 700 featuring a fourth variation of this second aspect, wherein the lane 104 of the causeway 102 occupied by a vehicle 106 of the driver 108 is detected according to a proximity sensor 902 of the vehicle 106 that includes a variety of techniques, such as visual evaluation of camera data; ranging data gathered by sonar, radar, and/or lidar detection; and/or electronic communication with other vehicles 106 operating on the causeway 104. In this example scenario 900, the vehicle 106 is equipped with a proximity sensor 902 that detects a proximity of the vehicle 106 with respect to other vehicles 106 operating on the causeway 102, such as a distance 904 between the vehicle 106 and another vehicle 106 that is ahead of and/or behind the vehicle 106 of the driver 108; the relative speeds of the vehicles 106 ahead of and/or behind the driver 108; and/or the rates of acceleration, braking, turning, and/or swerving by the driver 108 and the drivers 108 of the other vehicles 106. The proximity sensor 902 may also detect information about vehicles 106 in other lanes 104 of the causeway 102, such as the relative or absolute speeds of vehicles 106 in adjacent lanes 104, and/or whether or not such vehicles 106 are passing 906 and/or are being passed by the vehicle 106 of the driver 108. The device 202 may transmit 908 the information detected by the proximity sensor 902 to a travel service 912, e.g., as a lane condition report 910 indicating the conditions of the respective lanes 104 of the causeway 102, optionally including information about other (e.g., adjacent) lanes 104 of the causeway 102 and/or vehicles 106 utilizing such lanes 104, and/or information about the driver 108 and/or the other vehicles 106 traveling along the causeway 102, such as the travel duration between a first location and a second location of the causeway.
  • FIG. 10 presents an illustration of example scenarios 1000 featuring a fifth set of variations of this second aspect, wherein the lanes 104 and/or lane conditions of the respective lanes 104 of the causeway 102 are determined by a machine vision technique 1008. As a first example scenario 1002, a device 202 on board the vehicle 106 may include and/or be in communication with a forward-mounted camera 1002 that captures a forward-facing image 1004 (e.g., through a windshield 1006 of the vehicle 106). A machine vision technique 1008 may be applied to the image 1004, such as a line detection algorithm that is configured to detect visible lines indicating the respective lanes 104 of the causeway 102. The position of the vehicle 106 on the causeway 102 may also be extrapolated by the machine vision technique 1008, and may therefore be utilized to determine the selected lane that is currently occupied by the vehicle 106. Alternatively or additionally, other machine vision techniques may be applied to the image 1004 to detect the lane conditions of the lanes 104 of the causeway 102, such as object recognition to detect and optionally count a number of visible vehicles 106 ahead of the vehicle 106 of the drive 108 in the respective lanes 104, and/or visual sizing machine vision techniques that estimate a distance of vehicles 106 ahead of the vehicle 106 of the driver 108. As a second example scenario 1010, a downward-facing camera 1002 may capture a downward-facing image 1004 of the causeway 102, and a line detection machine vision technique 1008 may be utilized to detect the visible lines indicating the lanes 104 of the causeway 102, and/or the selected lane that is currently occupied by the vehicle 106 of the driver 108. These and other techniques may be used to determine the current lane 104 of the vehicle 106 in accordance with the techniques presented herein.
  • E3. Travel Condition Communication
  • A third aspect that may vary among embodiments of these techniques involves the manner of transmitting travel conditions 418 of the lanes 104 of the causeway 102 to a travel service for evaluation, which may enable the travel service to notify the devices 202 on board various vehicles 104 of developments in the travel conditions 418 of the causeway 102.
  • FIG. 11 presents an illustration of an example scenario 1100 featuring a collection of travel reports about the lanes 104 of a causeway 102. In this example scenario 1100, a set of vehicles 106 is operated by a set of drivers 108 on a causeway 102, and information about the lanes 104 of the causeway 102 may be collected by a travel service 912 as a set of travel reports, including such information as the vehicles 106 in each lane 104; the travel duration of each vehicle 106 in each lane 104; and other information, such as lane costs during the observed period. Such travel reports may be collected from devices 202 on board the vehicles 106; from the drivers 108 of such vehicles 106; from toll booths 1102, traffic cameras 1104, or other forms of path monitoring; and/or from aerial surveillance, such as from a drone 1106. The travel reports may be transmitted to the travel service 912 in a variety of ways, including the internet 1108 and radio transmissions 1110, and may be stored by the travel service 912 to facilitate the evaluation of information about the respective lanes 104 of the causeway, including incidents that may enable a suggestion to a driver 108 operating a vehicle 106 on the causeway 102 to transition to a more advantageous lane. Many techniques may be utilized to detect and collect information about the lanes 104 of the causeway 102 in accordance with the techniques presented herein.
  • E4. Travel Condition Evaluation and Advantageous Lane Selection
  • A fourth aspect that may vary among embodiments of these techniques involves the evaluation of travel conditions 418 of the lanes 104 of the causeway 102, and the selection of an advantageous lane 208 among the lanes 104 of the causeway 102.
  • As a first variation of this fourth aspect, many types of travel conditions 418 may be evaluated to arrive at the determination of the advantageous lane 416, including past, current, and/or predicted traffic congestion 110; causeway surface evaluation; past, current, and/or predicted weather conditions; the preferences of the driver 108; and/or details of the vehicle 106 (e.g., cargo weight).
  • As a second variation of this fourth aspect, many techniques may be utilized to detect the travel conditions 418 of respective lanes 104 of the causeway 102. As a first such example, the travel conditions of the lanes 104 of the causeway 102 may be evaluated within a distance threshold of a location of the vehicle 106 (e.g., for one mile of the causeway 102 ahead of the vehicle 106, and/or for one mile of a current route of the vehicle 106).
  • As a third variation of this fourth aspect, a device 202 aboard a vehicle 106 may receive, from a causeway descriptor service, a current lane condition of the current lane 414, and a second lane condition of the advantageous lane 416 (e.g., an accumulation of water and/or ice in each lane 104 of a road), and may determine the advantageous lane 416 by comparing the current lane condition and the second lane condition.
  • As a fourth variation of this fourth aspect, a device 202 aboard a vehicle 106 may evaluate a first image of the current lane 414 to detect a current lane available vehicle capacity of the current lane 414 (e.g., counting the number of vehicles 106 occupying the current lane 414 ahead of the vehicle 106); evaluate a second image of a second lane 104 to detect a second lane available vehicle capacity of the second lane 104; and, upon determining that the second lane available vehicle capacity is higher than the current lane available vehicle capacity (e.g., that the second lane 104 has fewer vehicles 106 than the current lane 414), identify the second lane as the advantageous lane 416.
  • As a fifth variation of this fourth aspect, a device 202 aboard a vehicle 106 may detect a first vehicle speed of at least one vehicle 106 in the current lane 414; detect a second vehicle speed of at least one vehicle 106 in a second lane 104; and, upon determining that the second vehicle speed is higher than the current lane vehicle speed, identifying the second lane 104 as the advantageous lane 416.
  • As a sixth variation of this fourth aspect, a device 202 having a camera 812 may evaluate an image 814 of the current lane 414 to detect an obstruction affecting the current lane 414, and evaluate an image of the advantageous lane 416 to detect an avoidance of the obstruction by the advantageous lane 416 (e.g., using machine vision techniques to detect an obstruction of the causeway 102, as well as a lane 104 providing a path around the obstruction).
  • As a seventh variation of this fourth aspect, a server 702 may determine the travel conditions 418 through the evaluation of information aggregated from a variety of vehicles 106. For example, the server 702 may receive, from at least one vehicle 106 operating on the causeway 102, at least one driving input involving at least one lane 104 of the causeway 102 (e.g., detecting that drivers 108 in a particular lane 104 are frequently braking or swerving), and may identify the travel condition 418 of the respective lanes 104 based on the driving inputs for the vehicles 106 operating in the lane 104.
  • As an eighth variation of this fourth aspect, the comparison 420 may be performed in view of many aspects of the travel conditions 418. As a first such example, respective travel conditions 418 may be associated with a weight indicating its significance in the comparison 420 (e.g., an improvement in driving safety may be considered more advantageous than a reduction in travel time duration). As a second such example, the preferences of respective drivers 108 may be considered in the comparison 420, such as the comparative significance and value of fuel economy and travel time to the driver 108, in identifying an advantageous lane 416 among the lanes 104 of the causeway 102.
  • As a ninth variation of this fourth aspect, a device 202 aboard a vehicle 106 may also notify the driver 108 of the advantage 206 conferred by the advantageous lane 416 as part of the lane change suggestion 208, and/or may provide alternative lane change suggestions 208 respectively presenting an advantage 206 (e.g., a first advantageous lane 416 providing a fuel economy advantage 206, and a second advantageous lane 416 providing a travel time reducing advantage 206).
  • As a tenth variation of this fourth aspect, some lanes 104 of a causeway 102 may only be utilized under certain conditions. As a first such example, respective lanes 104 may have an occupancy minimum (e.g., a high occupancy vehicle (“HOV”) lane that may only be utilized legally by vehicles 104 having at least a minimum number of passengers). A device 202 may determine a current occupancy of the vehicle 106 (e.g., by detecting and evaluating symbols painted on the lanes 104 of the causeway 102, and/or signs positioned near the causeway 102), and may select a lane 104 as an advantageous lane 416 only if the current occupancy of the vehicle satisfies the occupancy minimum of the lane 104. As a second such example, a toll lane may be usable only in exchange for paying a toll (e.g., signing up to an automated toll-paying service), and a device 202 may select the lane 104 as an advantageous lane 416 only if the toll may be paid by the vehicle 106 and/or the driver 108. These and other techniques may be utilized to evaluate the travel conditions 418 of the lanes 104 of the causeway 102 and to select the advantageous lane 416 in accordance with the techniques presented herein.
  • E4. Presenting Lane Change Suggestions
  • A fifth aspect that may vary among embodiments of the techniques presented herein relates to the manner of presenting lane change suggestions 208 to a driver 108 of a vehicle 106.
  • As a first variation of this fifth aspect, the lane change suggestion 208 may be presented to the driver 108 through various communications modalities, such as a visual text message; a visual symbol presented on a display; a map or photographic image; an audio cue, such as a spoken message; or through haptic feedback.
  • FIG. 12 presents an illustration of an example scenario 1200 featuring a second variation of this fifth aspect, wherein a device 202 aboard a vehicle 106 may determine a suggestion window within which the vehicle 106 is safely transferable to the advantageous lane 416, and present the lane change suggestion 208 of the advantageous lane 416 to the driver 108 only within the suggestion window. For example, the advantageous lane 416 may comprise a right lane 104 of a causeway 102 having the advantage 206 of easier access to an exit ramp 118. It may be desirable to present the lane change suggestion 208 in advance of an exit location 1202 where the driver 108 follows the exit lane 118. However, at a current location 1204, between the current lane 414 and the advantageous lane 416, a set of pylons 1206 may exist that impose a barrier between the lanes 104, and presenting the lane change suggestion 208 to the driver 108 at the current location 1204 may jeopardize the safety of the vehicle 106 and the driver 108. Instead, the device 202 aboard the vehicle 108 may select a lane change suggestion location 1208 that is past the set of pylons 1206, and may present the lane change suggestion 208 upon detecting the vehicle 106 arriving at the lane change suggestion location 1208. As a related variation, where the causeway 102 has at least one intervening lane 104 that is between the current lane 414 and the advantageous lane 416, the lane change suggestion 208 may be presented to the driver 108 only while the vehicle 106 is safely transferable across the at least one intervening lane (e.g., while no other vehicles 106 are present in the intervening lane).
  • As a third variation of this fifth aspect, in some scenarios, the advantageous lane 416 may comprise the current lane 414 that is currently occupied by the vehicle 106, and the lane change suggestion 208. As a first such example, in such circumstances, the device 202 may refrain from presenting the lane change suggestion 208 (e.g., not presenting any notification to the driver 108 when the current lane 414 is the advantageous lane 416). As a second such example, in such circumstances, upon detecting an intent of the driver 108 to transfer to a second lane 104 of the causeway 102, a device 202 may present to the driver 108 a lane change suggestion 208 comprising a suggestion to maintain the current lane 414 instead of transitioning to the second lane.
  • As a fourth variation of this fifth aspect, a device 202 may identify the advantageous lane 416 in various ways. As a first such example, the device 202 may describe the advantageous lane 416 relative to the current lane 414 (e.g., “move one lane to the right”), or relative to the causeway 102 (e.g., “move to the rightmost lane”). As a second such example, a device 202 may present to the driver 108 an explanation of the advantage 206 of the advantageous lane 416 compared with the current lane 414 (e.g., “move one lane to the right to avoid an accident in this lane”).
  • FIG. 13 presents an illustration of an example scenario 1300 featuring a third such example of this fourth variation of this fifth aspect, wherein the driver 108 operates the 106 while viewing the causeway 102 through a window 1302, such as a front windshield of the vehicle 106, or eyewear, such as goggles or glasses, upon which visual cues may be depicted for the driver 108. In such scenarios, a device 202 (such as a controller operating a pair of eyewear, or a display component embedded in a windshield of the vehicle 106) may display the lane change 208 on the window 1302. Moreover, in some embodiments, a device 202 may position the lane change suggestion 208 on the window 1302 to visually indicate the advantageous lane 416 (e.g., overlaying a visual marker 1304 or shading indicating the advantageous lane 416, and/or a pointer 1306 indicating the advantageous lane 416). These and other variations in the presentation of the lane change suggestions 208 may be included in variations of the techniques presented herein.
  • F. Computing Environment
  • FIG. 14 and the following discussion provide a brief, general description of a suitable computing environment to implement embodiments of one or more of the provisions set forth herein. The operating environment of FIG. 14 is only one example of a suitable operating environment and is not intended to suggest any limitation as to the scope of use or functionality of the operating environment. Example computing devices include, but are not limited to, personal computers, server computers, hand-held or laptop devices, mobile devices (such as mobile phones, Personal Digital Assistants (PDAs), media players, and the like), multiprocessor systems, consumer electronics, mini computers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
  • Although not required, embodiments are described in the general context of “computer readable instructions” being executed by one or more computing devices. Computer readable instructions may be distributed via computer readable media (discussed below). Computer readable instructions may be implemented as program modules, such as functions, objects, Application Programming Interfaces (APIs), data structures, and the like, that perform particular tasks or implement particular abstract data types. Typically, the functionality of the computer readable instructions may be combined or distributed as desired in various environments.
  • FIG. 14 illustrates an example of a system 1400 comprising a computing device 1402 configured to implement one or more embodiments provided herein. In one configuration, computing device 1402 includes at least one processing unit 1406 and memory 1408. Depending on the exact configuration and type of computing device, memory 1408 may be volatile (such as RAM, for example), non-volatile (such as ROM, flash memory, etc., for example) or some combination of the two. This configuration is illustrated in FIG. 14 by dashed line 1404.
  • In other embodiments, device 1402 may include additional features and/or functionality. For example, device 1402 may also include additional storage (e.g., removable and/or non-removable) including, but not limited to, magnetic storage, optical storage, and the like. Such additional storage is illustrated in FIG. 14 by storage 1410. In one embodiment, computer readable instructions to implement one or more embodiments provided herein may be in storage 1410. Storage 1410 may also store other computer readable instructions to implement an operating system, an application program, and the like. Computer readable instructions may be loaded in memory 1408 for execution by processing unit 1406, for example.
  • The term “computer readable media” as used herein includes computer storage media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions or other data. Memory 1408 and storage 1410 are examples of computer storage media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVDs) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by device 1402. Any such computer storage media may be part of device 1402.
  • Device 1402 may also include communication connection(s) 1416 that allows device 1402 to communicate with other devices. Communication connection(s) 1416 may include, but is not limited to, a modem, a Network Interface Card (NIC), an integrated network interface, a radio frequency transmitter/receiver, an infrared port, a USB connection, or other interfaces for connecting computing device 1402 to other computing devices. Communication connection(s) 1416 may include a wired connection or a wireless connection. Communication connection(s) 1416 may transmit and/or receive communication media.
  • The term “computer readable media” may include communication media. Communication media typically embodies computer readable instructions or other data in a “modulated data signal” such as a carrier wave or other transport mechanism and includes any information delivery media. The term “modulated data signal” may include a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
  • Device 1402 may include input device(s) 1414 such as keyboard, mouse, pen, voice input device, touch input device, infrared cameras, video input devices, and/or any other input device. Output device(s) 1412 such as one or more displays, speakers, printers, and/or any other output device may also be included in device 1402. Input device(s) 1414 and output device(s) 1412 may be connected to device 1402 via a wired connection, wireless connection, or any combination thereof. In one embodiment, an input device or an output device from another computing device may be used as input device(s) 1414 or output device(s) 1412 for computing device 1402.
  • Components of computing device 1402 may be connected by various interconnects, such as a bus. Such interconnects may include a Peripheral Component Interconnect (PCI), such as PCI Express, a Universal Serial Bus (USB), firewire (IEEE 1394), an optical bus structure, and the like. In another embodiment, components of computing device 1402 may be interconnected by a network. For example, memory 1408 may be comprised of multiple physical memory units located in different physical locations interconnected by a network.
  • Those skilled in the art will realize that storage devices utilized to store computer readable instructions may be distributed across a network. For example, a computing device 1420 accessible via network 1418 may store computer readable instructions to implement one or more embodiments provided herein. Computing device 1402 may access computing device 1420 and download a part or all of the computer readable instructions for execution. Alternatively, computing device 1402 may download pieces of the computer readable instructions, as needed, or some instructions may be executed at computing device 1402 and some at computing device 1420.
  • G. Usage of Terms
  • Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
  • As used in this application, the terms “component,” “module,” “system”, “interface”, and the like are generally intended to refer to a computer-related entity, either hardware, a combination of hardware and software, software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a controller and the controller can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers.
  • Furthermore, the claimed subject matter may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed subject matter. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media. Of course, those skilled in the art will recognize many modifications may be made to this configuration without departing from the scope or spirit of the claimed subject matter.
  • Various operations of embodiments are provided herein. In one embodiment, one or more of the operations described may constitute computer readable instructions stored on one or more computer readable media, which if executed by a computing device, will cause the computing device to perform the operations described. The order in which some or all of the operations are described should not be construed as to imply that these operations are necessarily order dependent. Alternative ordering will be appreciated by one skilled in the art having the benefit of this description. Further, it will be understood that not all operations are necessarily present in each embodiment provided herein.
  • Moreover, the word “example” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “example” is not necessarily to be construed as advantageous over other aspects or designs. Rather, use of the word example is intended to present concepts in a concrete fashion. As used in this application, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. In addition, the articles “a” and “an” as used in this application and the appended claims may generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.
  • Also, although the disclosure has been shown and described with respect to one or more implementations, equivalent alterations and modifications will occur to others skilled in the art based upon a reading and understanding of this specification and the annexed drawings. The disclosure includes all such modifications and alterations and is limited only by the scope of the following claims. In particular regard to the various functions performed by the above described components (e.g., elements, resources, etc.), the terms used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., that is functionally equivalent), even though not structurally equivalent to the disclosed structure which performs the function in the herein illustrated example implementations of the disclosure. In addition, while a particular feature of the disclosure may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for any given or particular application. Furthermore, to the extent that the terms “includes”, “having”, “has”, “with”, or variants thereof are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term “comprising.”

Claims (20)

What is claimed is:
1. A method of facilitating a driver of a vehicle, the method involving a device having a processor and comprising:
executing on the processor instructions configured to, while the vehicle operates on a causeway having at least two lanes:
detect, among the lanes of the causeway, a current lane that is occupied by the vehicle;
for respective lanes, identify a travel condition;
identify an advantageous lane of the causeway having a travel condition presenting an advantage over the travel condition of the current lane; and
present to the driver a lane change suggestion to transfer the vehicle to the advantageous lane.
2. The method of claim 1, the advantage selected from an advantage set comprising:
a lane compliance with a route of the vehicle;
a fuel economy promoting advantage;
a cost economy promoting advantage;
a travel time consistency promoting advantage;
an emissions reducing advantage;
a travel time reducing advantage;
a driving safety promoting advantage;
a vehicle proximity reducing advantage;
a traffic congestion avoiding advantage;
a construction zone avoiding advantage;
a causeway hazard avoiding advantage; and
a smooth driving experience promoting advantage.
3. The method of claim 1:
the device comprising a lane identifier map specifying, for respective locations, a lane associated with the location; and
detecting the current lane occupied by the vehicle further comprising:
receiving from a geolocator device a current location of the vehicle; and
determining the current lane occupied by the vehicle according to the current location and the lane identifier map.
4. The method of claim 1, detecting the current lane occupied by the vehicle further comprising: evaluating an image of the causeway to determine the current lane occupied by the vehicle.
5. The method of claim 1, detecting the current lane occupied by the vehicle further comprising: receiving from a lane identifier service a lane indication identifying, among the lanes of the causeway, the current lane occupied by the vehicle.
6. The method of claim 1, identifying the travel conditions comprising: identifying the travel conditions of the lanes of the causeway within a distance threshold of a location of the vehicle.
7. The method of claim 1:
identifying the travel conditions of respective lanes further comprising: receiving from a causeway descriptor service:
a current lane condition of the current lane, and
a second lane condition of the advantageous lane; and
determining the advantageous lane further comprising: determining the advantageous lane by comparing the current lane condition and the second lane condition.
8. The method of claim 1:
identifying the travel conditions of respective lanes further comprising:
evaluating a first image of the current lane to detect a current lane available vehicle capacity;
evaluating a second image of a second lane to detect a second lane available vehicle capacity; and
identifying the advantageous lane further comprising: upon determining that the second lane available vehicle capacity is higher than the current lane available vehicle capacity, identifying the second lane as the advantageous lane.
9. The method of claim 1:
identifying the travel conditions of respective lanes further comprising:
detecting a first vehicle speed of at least one vehicle in the current lane;
detecting a second vehicle speed of at least one vehicle in a second lane; and
identifying the advantageous lane further comprising: upon determining that the second vehicle speed is higher than the first vehicle speed, identifying the second lane as the advantageous lane.
10. The method of claim 1, identifying the travel conditions of respective lanes further comprising:
evaluating an image of the current lane to detect an obstruction affecting the current lane; and
evaluating an image of the advantageous lane to detect an avoidance of the obstruction by the advantageous lane.
11. The method of claim 1:
the advantageous lane having an occupancy minimum; and
identifying the advantageous lane further comprising: determining a current occupancy of the vehicle; and
presenting the lane change suggestion to the driver further comprising: presenting the lane change suggestion of the advantageous lane to the driver only if the current occupancy of the vehicle satisfies the occupancy minimum.
12. The method of claim 1:
the instructions further configured to determine a lane change suggestion window within which the vehicle is safely transferable to the advantageous lane; and
presenting the lane change suggestion to the driver further comprising: presenting the lane change suggestion of the advantageous lane to the driver only within the suggestion window.
13. The method of claim 1:
the causeway having at least one intervening lane between the current lane and the advantageous lane; and
presenting the lane change suggestion to the driver only while the vehicle is safely transferable across the at least one intervening lane.
14. The method of claim 1:
the advantageous lane comprising a current lane that is currently occupied by the vehicle; and
presenting the lane change suggestion further comprising: upon detecting an intent of the driver to transfer to a second lane of the causeway, presenting to the driver a lane change suggestion to maintain the current lane instead of transitioning to the second lane.
15. The method of claim 1, presenting the suggestion further comprising: presenting to the driver an explanation of the advantage of the advantageous lane compared with the current lane.
16. The method of claim 1:
the driver operating the vehicle while viewing the causeway through a window; and
presenting the lane change suggestion to the driver further comprising: displaying the lane change suggestion on the window.
17. The method of claim 16, displaying the lane change suggestion on the window further comprising: positioning the lane change suggestion on the window to visually indicate the advantageous lane.
18. A system for facilitating a driver of a vehicle, the system involving a device having a processor and comprising:
a lane evaluating component comprising instructions that, when executed on the processor, cause the device to, while the vehicle operates on a causeway having at least two lanes:
detect, among the lanes of the causeway, a current lane that is occupied by the vehicle;
for respective lanes, identify a travel condition;
identify an advantageous lane of the causeway having a travel condition having an advantage over the travel condition of the current lane; and
a lane change suggestion presenting component comprising instructions that, when executed on the processor, cause the device to present to the driver a lane change suggestion to transfer the vehicle to the advantageous lane.
19. A method of facilitating drivers of vehicles operating on a causeway having at least two lanes, the method involving a device having a processor and comprising:
executing on the processor instructions configured to:
for respective lanes, identify a travel condition;
among the lanes, identify at least one advantageous lane of the causeway; and
notify the vehicles of the at least one advantageous lane of the causeway.
20. The method of claim 19, identifying the travel conditions of respective lanes comprising:
receiving from at least one vehicle operating on the causeway at least one driving input involving at least one lane of the causeway; and
for respective lanes, identify a travel condition based on the driving inputs for the lane.
US15/122,986 2014-03-03 2015-03-03 Driving lane change suggestions Abandoned US20170076598A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US15/122,986 US20170076598A1 (en) 2014-03-03 2015-03-03 Driving lane change suggestions

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201461946962P 2014-03-03 2014-03-03
PCT/US2015/018383 WO2015134421A1 (en) 2014-03-03 2015-03-03 Driving lane change suggestions
US15/122,986 US20170076598A1 (en) 2014-03-03 2015-03-03 Driving lane change suggestions

Publications (1)

Publication Number Publication Date
US20170076598A1 true US20170076598A1 (en) 2017-03-16

Family

ID=54055737

Family Applications (22)

Application Number Title Priority Date Filing Date
US15/122,750 Active 2036-07-18 US10692370B2 (en) 2014-03-03 2015-02-27 Traffic obstruction detection
US15/121,170 Abandoned US20170032673A1 (en) 2014-03-03 2015-03-01 Driver behavior sharing
US15/122,734 Abandoned US20170070616A1 (en) 2014-03-03 2015-03-02 Dynamic communication data usage
US15/122,704 Active 2035-10-31 US10417910B2 (en) 2014-03-03 2015-03-02 Driving profiles for autonomous vehicles
US15/122,720 Active 2035-07-08 US10062280B2 (en) 2014-03-03 2015-03-02 Traffic news interface
US15/122,677 Active 2036-05-01 US10629075B2 (en) 2014-03-03 2015-03-02 Providing users with access to routes for traveling
US15/122,949 Active US10529231B2 (en) 2014-03-03 2015-03-03 Condition-based lane suggestions for travel advising
US15/122,963 Abandoned US20170076509A1 (en) 2014-03-03 2015-03-03 Assessing environmental impact of vehicle transit
US15/122,986 Abandoned US20170076598A1 (en) 2014-03-03 2015-03-03 Driving lane change suggestions
US15/122,973 Abandoned US20170076395A1 (en) 2014-03-03 2015-03-03 User-managed evidentiary record of driving behavior and risk rating
US15/123,043 Active US9940836B2 (en) 2014-03-03 2015-03-03 Estimating transit queue volume using probe ratios
US15/121,123 Active 2036-01-09 US11292476B2 (en) 2014-03-03 2015-03-03 Personalization of automated vehicle control
US15/123,022 Active US10354527B2 (en) 2014-03-03 2015-03-03 Presenting geographic search results using location projection and time windows
US15/123,005 Abandoned US20170084175A1 (en) 2014-03-03 2015-03-03 Cloud-mediated vehicle notification exchange for localized transit events
US15/123,241 Abandoned US20170069201A1 (en) 2014-03-03 2015-03-03 Estimating traveler volume by evaluating aerial images
US15/123,244 Active US9685078B2 (en) 2014-03-03 2015-03-03 Traffic flow rates
US15/626,449 Active US10319232B2 (en) 2014-03-03 2017-06-19 Traffic flow rates
US16/509,571 Active US10803747B2 (en) 2014-03-03 2019-07-12 Presenting geographic search results using location projection and time windows
US16/571,422 Pending US20200013284A1 (en) 2014-03-03 2019-09-16 Driving profiles for autonomous vehicles
US16/735,622 Abandoned US20200143677A1 (en) 2014-03-03 2020-01-06 Condition-based lane suggestions for travel advising
US16/853,215 Active 2035-04-04 US11634143B2 (en) 2014-03-03 2020-04-20 Providing users with access to routes for traveling
US16/907,472 Abandoned US20200317200A1 (en) 2014-03-03 2020-06-22 Traffic obstruction detection

Family Applications Before (8)

Application Number Title Priority Date Filing Date
US15/122,750 Active 2036-07-18 US10692370B2 (en) 2014-03-03 2015-02-27 Traffic obstruction detection
US15/121,170 Abandoned US20170032673A1 (en) 2014-03-03 2015-03-01 Driver behavior sharing
US15/122,734 Abandoned US20170070616A1 (en) 2014-03-03 2015-03-02 Dynamic communication data usage
US15/122,704 Active 2035-10-31 US10417910B2 (en) 2014-03-03 2015-03-02 Driving profiles for autonomous vehicles
US15/122,720 Active 2035-07-08 US10062280B2 (en) 2014-03-03 2015-03-02 Traffic news interface
US15/122,677 Active 2036-05-01 US10629075B2 (en) 2014-03-03 2015-03-02 Providing users with access to routes for traveling
US15/122,949 Active US10529231B2 (en) 2014-03-03 2015-03-03 Condition-based lane suggestions for travel advising
US15/122,963 Abandoned US20170076509A1 (en) 2014-03-03 2015-03-03 Assessing environmental impact of vehicle transit

Family Applications After (13)

Application Number Title Priority Date Filing Date
US15/122,973 Abandoned US20170076395A1 (en) 2014-03-03 2015-03-03 User-managed evidentiary record of driving behavior and risk rating
US15/123,043 Active US9940836B2 (en) 2014-03-03 2015-03-03 Estimating transit queue volume using probe ratios
US15/121,123 Active 2036-01-09 US11292476B2 (en) 2014-03-03 2015-03-03 Personalization of automated vehicle control
US15/123,022 Active US10354527B2 (en) 2014-03-03 2015-03-03 Presenting geographic search results using location projection and time windows
US15/123,005 Abandoned US20170084175A1 (en) 2014-03-03 2015-03-03 Cloud-mediated vehicle notification exchange for localized transit events
US15/123,241 Abandoned US20170069201A1 (en) 2014-03-03 2015-03-03 Estimating traveler volume by evaluating aerial images
US15/123,244 Active US9685078B2 (en) 2014-03-03 2015-03-03 Traffic flow rates
US15/626,449 Active US10319232B2 (en) 2014-03-03 2017-06-19 Traffic flow rates
US16/509,571 Active US10803747B2 (en) 2014-03-03 2019-07-12 Presenting geographic search results using location projection and time windows
US16/571,422 Pending US20200013284A1 (en) 2014-03-03 2019-09-16 Driving profiles for autonomous vehicles
US16/735,622 Abandoned US20200143677A1 (en) 2014-03-03 2020-01-06 Condition-based lane suggestions for travel advising
US16/853,215 Active 2035-04-04 US11634143B2 (en) 2014-03-03 2020-04-20 Providing users with access to routes for traveling
US16/907,472 Abandoned US20200317200A1 (en) 2014-03-03 2020-06-22 Traffic obstruction detection

Country Status (3)

Country Link
US (22) US10692370B2 (en)
EP (17) EP3114574A4 (en)
WO (16) WO2015134311A1 (en)

Cited By (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160176341A1 (en) * 2014-12-22 2016-06-23 Volkswagen Ag Early detection of exit only and shared lanes using perception technology
US20170193384A1 (en) * 2016-01-06 2017-07-06 GM Global Technology Operations LLC Determining driver intention at traffic intersections for automotive crash avoidance
US20180217604A1 (en) * 2015-07-27 2018-08-02 Nissan Motor Co., Ltd. Route Guidance Device and Route Guidance Method
CN109323700A (en) * 2017-07-31 2019-02-12 慧与发展有限责任合伙企业 Determine automobile position
WO2018167749A3 (en) * 2018-06-13 2019-04-11 Universidad Técnica Particular De Loja System and method for preventing accidents caused by the presence of objects on transport routes resulting from natural phenomena
CN110009902A (en) * 2017-12-18 2019-07-12 丰田自动车株式会社 Server apparatus and congestion recognition methods
US10474147B2 (en) * 2015-07-20 2019-11-12 Lg Electronics Inc. Autonomous vehicle
US10691958B1 (en) * 2015-07-30 2020-06-23 Ambarella International Lp Per-lane traffic data collection and/or navigation
US20200250974A1 (en) * 2019-01-31 2020-08-06 StradVision, Inc. Method and device for detecting emergency vehicles in real time and planning driving routes to cope with situations to be expected to be occurred by the emergency vehicles
CN112158201A (en) * 2020-10-12 2021-01-01 北京信息职业技术学院 Intelligent driving vehicle transverse control method and system
US20210188264A1 (en) * 2018-05-15 2021-06-24 Hitachi Automotive Systems, Ltd. Vehicle control device
CN113386752A (en) * 2020-03-13 2021-09-14 通用汽车环球科技运作有限责任公司 Method and device for determining an optimal cruising lane in a driver assistance system
US11193780B2 (en) 2017-09-19 2021-12-07 Continental Automotive Systems, Inc. Vehicle safety system and method for providing a recommended path
US20220118850A1 (en) * 2020-10-19 2022-04-21 Toyota Jidosha Kabushiki Kaisha Display device and display method
US20220171590A1 (en) * 2019-02-26 2022-06-02 Volkswagen Aktiengesellschaft Method for Operating a Driver Information System in an Ego-Vehicle and Driver Information System
US11433917B2 (en) * 2018-12-28 2022-09-06 Continental Autonomous Mobility US, LLC System and method of human interface for recommended path
US11501637B2 (en) * 2019-10-04 2022-11-15 Here Global B.V. Method, apparatus, and system for detecting lane-level slowdown events
US11545035B2 (en) * 2019-11-15 2023-01-03 Toyota Motor Engineering & Manufacturing North America, Inc. Driver notification system
US11776397B2 (en) * 2022-02-03 2023-10-03 Toyota Motor North America, Inc. Emergency notifications for transports
US11781881B2 (en) 2019-12-12 2023-10-10 Toyota Motor Engineering & Manufacturing North America, Inc. Methods and apparatus of vehicle guidance
US11807260B2 (en) 2019-02-26 2023-11-07 Volkswagen Aktiengesellschaft Method for operating a driver information system in an ego-vehicle and driver information system
EP4227924A4 (en) * 2020-10-14 2023-12-06 UISEE (Shanghai) Automotive Technologies Ltd. Traffic congestion sensing method and apparatus, electronic device and storage medium
US11915115B2 (en) 2019-12-31 2024-02-27 Google Llc Lane selection using machine learning
US11984023B2 (en) * 2020-01-26 2024-05-14 Roderick Allen McConnell Traffic disturbances
EP4141836A4 (en) * 2020-04-24 2024-05-22 JRD Communication (Shenzhen) Ltd Vehicle driving control method, storage medium and terminal

Families Citing this family (427)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10118576B2 (en) 2002-06-11 2018-11-06 Intelligent Technologies International, Inc. Shipping container information recordation techniques
US9701265B2 (en) 2002-06-11 2017-07-11 Intelligent Technologies International, Inc. Smartphone-based vehicle control methods
US9562776B2 (en) 2013-04-23 2017-02-07 Intelligent Mechatronic Systems Inc. Location-based security
US20210009136A1 (en) * 2014-03-03 2021-01-14 Inrix, Inc. Presenting geographic search results using location projection and time windows
US10692370B2 (en) * 2014-03-03 2020-06-23 Inrix, Inc. Traffic obstruction detection
US9623878B2 (en) 2014-04-02 2017-04-18 Magna Electronics Inc. Personalized driver assistance system for vehicle
JP6187370B2 (en) * 2014-04-10 2017-08-30 トヨタ自動車株式会社 Driving behavior classification device and driving behavior classification method
US10373259B1 (en) 2014-05-20 2019-08-06 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US10185998B1 (en) * 2014-05-20 2019-01-22 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US9972054B1 (en) 2014-05-20 2018-05-15 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10599155B1 (en) 2014-05-20 2020-03-24 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US11669090B2 (en) 2014-05-20 2023-06-06 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US11030696B1 (en) 2014-07-21 2021-06-08 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and anonymous driver data
US10915965B1 (en) 2014-11-13 2021-02-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle insurance based upon usage
US20160179062A1 (en) * 2014-12-17 2016-06-23 Caterpillar Inc. Machine data management system using removable controller
US10367869B2 (en) * 2014-12-30 2019-07-30 Ford Global Technologies, Llc Remote vehicle control and operation
JP6315827B2 (en) * 2015-03-27 2018-04-25 国立大学法人名古屋大学 Driving assistance device
US11482100B2 (en) * 2015-03-28 2022-10-25 Intel Corporation Technologies for detection of anomalies in vehicle traffic patterns
WO2016157658A1 (en) * 2015-03-31 2016-10-06 ソニー株式会社 Information processing device, control method, and program
CA2982418C (en) 2015-04-09 2023-01-24 Ims Solutions Inc. Opportunistic calibration of a smartphone orientation in a vehicle
EP3082315B1 (en) * 2015-04-18 2017-02-15 Urban Software Institute GmbH Computer system and method for message routing
US10077056B1 (en) 2015-04-24 2018-09-18 State Farm Mutual Automobile Insurance Company Managing self-driving behavior of autonomous or semi-autonomous vehicle based upon actual driving behavior of driver
EP3292500A1 (en) * 2015-05-05 2018-03-14 Balabit S.A. Computer-implemented method for determining computer system security threats, security operations center system and computer program product
US9616773B2 (en) 2015-05-11 2017-04-11 Uber Technologies, Inc. Detecting objects within a vehicle in connection with a service
US9646493B2 (en) 2015-06-19 2017-05-09 International Business Machines Corporation Management of moving objects
US9842437B2 (en) * 2015-06-29 2017-12-12 Allstate Insurance Company Automatically identifying drivers
US10749734B2 (en) 2015-07-07 2020-08-18 International Business Machines Corporation Management of events and moving objects
GB201512490D0 (en) 2015-07-16 2015-08-19 Tomtom Traffic Bv Methods and systems for detecting a closure of a navigable element
KR20170015114A (en) * 2015-07-30 2017-02-08 삼성전자주식회사 Autonomous vehicle and method for controlling the autonomous vehicle
US11107365B1 (en) 2015-08-28 2021-08-31 State Farm Mutual Automobile Insurance Company Vehicular driver evaluation
WO2017047176A1 (en) * 2015-09-18 2017-03-23 ソニー株式会社 Information processing device, information processing method, and program
US9971348B1 (en) * 2015-09-29 2018-05-15 Amazon Technologies, Inc. Passenger profiles for autonomous vehicles
US9958870B1 (en) 2015-09-29 2018-05-01 Amazon Technologies, Inc. Environmental condition identification assistance for autonomous vehicles
US10558718B2 (en) * 2015-11-03 2020-02-11 Dell Products, Lp Systems and methods for website improvement
US10248119B2 (en) 2015-11-04 2019-04-02 Zoox, Inc. Interactive autonomous vehicle command controller
WO2017079341A2 (en) 2015-11-04 2017-05-11 Zoox, Inc. Automated extraction of semantic information to enhance incremental mapping modifications for robotic vehicles
US10334050B2 (en) 2015-11-04 2019-06-25 Zoox, Inc. Software application and logic to modify configuration of an autonomous vehicle
US9606539B1 (en) 2015-11-04 2017-03-28 Zoox, Inc. Autonomous vehicle fleet service and system
US9630619B1 (en) 2015-11-04 2017-04-25 Zoox, Inc. Robotic vehicle active safety systems and methods
US9958864B2 (en) * 2015-11-04 2018-05-01 Zoox, Inc. Coordination of dispatching and maintaining fleet of autonomous vehicles
US10401852B2 (en) 2015-11-04 2019-09-03 Zoox, Inc. Teleoperation system and method for trajectory modification of autonomous vehicles
US11283877B2 (en) 2015-11-04 2022-03-22 Zoox, Inc. Software application and logic to modify configuration of an autonomous vehicle
US9754490B2 (en) 2015-11-04 2017-09-05 Zoox, Inc. Software application to request and control an autonomous vehicle service
US9632502B1 (en) 2015-11-04 2017-04-25 Zoox, Inc. Machine-learning systems and techniques to optimize teleoperation and/or planner decisions
DE102016200759B4 (en) * 2015-11-12 2023-03-30 Volkswagen Aktiengesellschaft Method, device and processing device for controlling functions in a vehicle
CN107010073A (en) * 2015-11-30 2017-08-04 法拉第未来公司 System and method based on the occupancy condition in data aggregate automatic detection vehicle
US10712160B2 (en) 2015-12-10 2020-07-14 Uatc, Llc Vehicle traction map for autonomous vehicles
US20170168487A1 (en) * 2015-12-11 2017-06-15 International Business Machines Corporation System and method for tracking pollution
US9840256B1 (en) 2015-12-16 2017-12-12 Uber Technologies, Inc. Predictive sensor array configuration system for an autonomous vehicle
US9841763B1 (en) 2015-12-16 2017-12-12 Uber Technologies, Inc. Predictive sensor array configuration system for an autonomous vehicle
US20170174221A1 (en) * 2015-12-18 2017-06-22 Robert Lawson Vaughn Managing autonomous vehicles
US10246065B2 (en) 2015-12-29 2019-04-02 Thunder Power New Energy Vehicle Development Company Limited Vehicle hazard detection and warning system
US9956956B2 (en) * 2016-01-11 2018-05-01 Denso Corporation Adaptive driving system
US10460600B2 (en) 2016-01-11 2019-10-29 NetraDyne, Inc. Driver behavior monitoring
KR102500838B1 (en) * 2016-01-11 2023-02-16 한화테크윈 주식회사 Method of providing path based on surveillance zone and apparatus for the same
US20170213461A1 (en) * 2016-01-21 2017-07-27 Ford Global Technologies, Llc System and method for vehicle group communication via dedicated short range communication
US11242051B1 (en) 2016-01-22 2022-02-08 State Farm Mutual Automobile Insurance Company Autonomous vehicle action communications
US10395332B1 (en) 2016-01-22 2019-08-27 State Farm Mutual Automobile Insurance Company Coordinated autonomous vehicle automatic area scanning
US10324463B1 (en) 2016-01-22 2019-06-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation adjustment based upon route
US11441916B1 (en) 2016-01-22 2022-09-13 State Farm Mutual Automobile Insurance Company Autonomous vehicle trip routing
US10747234B1 (en) 2016-01-22 2020-08-18 State Farm Mutual Automobile Insurance Company Method and system for enhancing the functionality of a vehicle
US10165171B2 (en) 2016-01-22 2018-12-25 Coban Technologies, Inc. Systems, apparatuses, and methods for controlling audiovisual apparatuses
US11719545B2 (en) 2016-01-22 2023-08-08 Hyundai Motor Company Autonomous vehicle component damage and salvage assessment
US10134278B1 (en) 2016-01-22 2018-11-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
WO2017129804A1 (en) * 2016-01-29 2017-08-03 Kiwisecurity Software Gmbh Methods and apparatus for using video analytics to detect regions for privacy protection within images from moving cameras
US9937923B2 (en) * 2016-01-30 2018-04-10 Bendix Commercial Vehicle Systems Llc System and method for providing a speed warning and speed control
CN105679021B (en) * 2016-02-02 2018-11-06 招商局重庆交通科研设计院有限公司 Journey time fusion forecasting and querying method based on traffic big data
US9672738B1 (en) 2016-02-02 2017-06-06 Allstate Insurance Company Designing preferred vehicle routes based on driving scores from other vehicles
CN108604414B (en) * 2016-02-03 2021-06-08 大众汽车有限公司 Method, apparatus and storage medium for providing information about dangerous situations
US10037031B2 (en) * 2016-02-05 2018-07-31 Ford Global Technologies, Llc Vehicle operation states
GB201604159D0 (en) * 2016-02-09 2016-04-27 Tomtom Traffic Bv Methods and systems for identifying navigable elements affected by weather conditions
DE102016202659B3 (en) * 2016-02-22 2016-09-22 Siemens Aktiengesellschaft Method and device for providing recorded, anonymized routes
US9823664B2 (en) 2016-02-25 2017-11-21 A.M.T.S., Llc Unmanned aircraft for positioning an instrument for inspection purposes and methods of inspecting a target surface
US9990548B2 (en) 2016-03-09 2018-06-05 Uber Technologies, Inc. Traffic signal analysis system
EP3217400B1 (en) * 2016-03-10 2018-11-07 Philips Lighting Holding B.V. Pollution estimation system
US10160340B2 (en) * 2016-03-16 2018-12-25 GM Global Technology Operations LLC Adaptive system and method for optimizing battery life in a plug-in vehicle
US10553122B1 (en) * 2016-03-22 2020-02-04 Amazon Technologies, Inc. Unmanned aerial vehicle data collection for routing
NO341488B1 (en) * 2016-04-05 2017-11-27 Apace Resources As System for controlling traffic
US10334395B2 (en) 2016-04-07 2019-06-25 Vizsafe, Inc. Targeting individuals based on their location and distributing geo-aware channels or categories to them and requesting information therefrom
US10484724B2 (en) * 2016-04-07 2019-11-19 Vizsafe, Inc. Viewing and streaming live cameras to users near their location as indicated on a map or automatically based on a geofence or location boundary
US10486708B1 (en) * 2016-04-11 2019-11-26 State Farm Mutual Automobile Insurance Company System for adjusting autonomous vehicle driving behavior to mimic that of neighboring/surrounding vehicles
US10872379B1 (en) 2016-04-11 2020-12-22 State Farm Mutual Automobile Insurance Company Collision risk-based engagement and disengagement of autonomous control of a vehicle
US10571283B1 (en) 2016-04-11 2020-02-25 State Farm Mutual Automobile Insurance Company System for reducing vehicle collisions based on an automated segmented assessment of a collision risk
US10222228B1 (en) 2016-04-11 2019-03-05 State Farm Mutual Automobile Insurance Company System for driver's education
US10233679B1 (en) 2016-04-11 2019-03-19 State Farm Mutual Automobile Insurance Company Systems and methods for control systems to facilitate situational awareness of a vehicle
US10019904B1 (en) 2016-04-11 2018-07-10 State Farm Mutual Automobile Insurance Company System for identifying high risk parking lots
US10247565B2 (en) 2016-04-11 2019-04-02 State Farm Mutual Automobile Insurance Company Traffic risk avoidance for a route selection system
US11851041B1 (en) 2016-04-11 2023-12-26 State Farm Mutual Automobile Insurance Company System for determining road slipperiness in bad weather conditions
US10026309B1 (en) 2016-04-11 2018-07-17 State Farm Mutual Automobile Insurance Company Networked vehicle control systems to facilitate situational awareness of vehicles
US9429947B1 (en) * 2016-04-14 2016-08-30 Eric John Wengreen Self-driving vehicle systems and methods
US10042055B2 (en) 2016-04-20 2018-08-07 Here Global B.V. Traffic volume estimation
EP3236446B1 (en) * 2016-04-22 2022-04-13 Volvo Car Corporation Arrangement and method for providing adaptation to queue length for traffic light assist-applications
US9953523B2 (en) 2016-04-22 2018-04-24 Here Global B.V. Node-centric navigation optimization
US10789840B2 (en) * 2016-05-09 2020-09-29 Coban Technologies, Inc. Systems, apparatuses and methods for detecting driving behavior and triggering actions based on detected driving behavior
US10152858B2 (en) 2016-05-09 2018-12-11 Coban Technologies, Inc. Systems, apparatuses and methods for triggering actions based on data capture and characterization
US10370102B2 (en) 2016-05-09 2019-08-06 Coban Technologies, Inc. Systems, apparatuses and methods for unmanned aerial vehicle
US10088330B2 (en) * 2016-05-12 2018-10-02 Telenav, Inc. Navigation system with notification mechanism and method of operation thereof
US10202127B2 (en) * 2016-05-19 2019-02-12 Toyota Jidosha Kabushiki Kaisha User profile-based automatic parameter tuning system for connected vehicles
US20170345112A1 (en) * 2016-05-25 2017-11-30 Tyco Fire & Security Gmbh Dynamic Threat Analysis Engine for Mobile Users
US20170349184A1 (en) * 2016-06-06 2017-12-07 GM Global Technology Operations LLC Speech-based group interactions in autonomous vehicles
US10328935B2 (en) 2016-06-08 2019-06-25 GM Global Technology Operations LLC Adaptive cruise control system and method of operating the same
JP6550016B2 (en) * 2016-06-27 2019-07-24 株式会社デンソー Vehicle control apparatus and vehicle control method
CN106004735B (en) * 2016-06-27 2019-03-15 京东方科技集团股份有限公司 The method of adjustment of onboard system and vehicle service
US10189482B2 (en) * 2016-06-28 2019-01-29 Volkswagen Aktiengesellschaft Apparatus, system and method for personalized settings for driver assistance systems
US10183679B2 (en) * 2016-06-28 2019-01-22 Volkswagen Aktiengesellschaft Apparatus, system and method for personalized settings for driver assistance systems
DE102016211750B4 (en) * 2016-06-29 2019-06-19 Volkswagen Aktiengesellschaft Method for the spectrally efficient determination of collective environment information for cooperative and / or autonomous driving, as well as reporting vehicle and further vehicle for use in the method
US10871782B2 (en) 2016-07-01 2020-12-22 Uatc, Llc Autonomous vehicle control using submaps
EP3481671A4 (en) * 2016-07-06 2020-08-12 Ford Global Technologies, LLC Information sharing and user experience enhancement by context-aware vehicles
US10162354B2 (en) * 2016-07-21 2018-12-25 Baidu Usa Llc Controlling error corrected planning methods for operating autonomous vehicles
US10112611B2 (en) * 2016-07-25 2018-10-30 Toyota Motor Engineering & Manufacturing North America, Inc. Adaptive vehicle control systems and methods of altering a condition of a vehicle using the same
WO2018026733A1 (en) 2016-07-31 2018-02-08 Netradyne Inc. Determining causation of traffic events and encouraging good driving behavior
DE102016214822B4 (en) * 2016-08-10 2022-06-09 Audi Ag Method for assisting a driver in driving a motor vehicle
DE102016216701B4 (en) * 2016-09-05 2020-01-02 Audi Ag Method for operating a support system for preventing a motor vehicle and motor vehicle from stopping
US10093322B2 (en) * 2016-09-15 2018-10-09 International Business Machines Corporation Automatically providing explanations for actions taken by a self-driving vehicle
US9919648B1 (en) * 2016-09-27 2018-03-20 Robert D. Pedersen Motor vehicle artificial intelligence expert system dangerous driving warning and control system and method
US10673948B2 (en) 2016-10-05 2020-06-02 Dell Products L.P. Trailer identification, inspection, and verification using a vehicle gateway
US10315662B2 (en) 2016-10-05 2019-06-11 Dell Products L.P. Determining a driver condition using a vehicle gateway
US10145700B2 (en) 2016-10-05 2018-12-04 Dell Products L.P. Vehicle firmware update using a vehicle gateway
US9931976B1 (en) 2016-10-05 2018-04-03 Dell Products L.P. Truck safety zone using a vehicle gateway
US10402772B2 (en) 2016-10-05 2019-09-03 Dell Products L.P. Cargo geofencing using a vehicle gateway
US11119480B2 (en) * 2016-10-20 2021-09-14 Magna Electronics Inc. Vehicle control system that learns different driving characteristics
EP3316188A1 (en) * 2016-10-28 2018-05-02 Thomson Licensing LLC Decision making method and system for providing service recommendation system
KR20180051274A (en) * 2016-11-08 2018-05-16 현대자동차주식회사 Method for controlling driving of vehicle using driving information of front vehicle
DE102016221873A1 (en) * 2016-11-08 2018-05-09 Bayerische Motoren Werke Aktiengesellschaft Vehicle guidance depending on an occupant
KR102003940B1 (en) * 2016-11-11 2019-10-01 엘지전자 주식회사 Autonomous vehicle and control method thereof
KR20180056084A (en) * 2016-11-18 2018-05-28 현대자동차주식회사 Vehicle and Controlling Method thereof
US10328913B2 (en) 2016-11-18 2019-06-25 International Business Machines Corporation Facilitation of automatic adjustment of a braking system
EP3545376A4 (en) 2016-11-22 2020-07-01 Amazon Technologies Inc. Methods for autonomously navigating across uncontrolled and controlled intersections
CN116465424A (en) * 2016-11-26 2023-07-21 星克跃尔株式会社 Apparatus, method, computer program, and computer-readable recording medium for guiding route
WO2018097609A1 (en) 2016-11-26 2018-05-31 팅크웨어(주) Device, method, computer program and computer readable recording medium for route guidance
CN106407480B (en) * 2016-11-29 2020-02-04 北京世纪高通科技有限公司 Information query method and system
EP3549044A4 (en) * 2016-12-02 2020-07-22 Starsky Robotics, Inc. Vehicle control system and method of use
DE102016224290B4 (en) * 2016-12-06 2020-01-09 Trw Automotive Gmbh Process for computer-aided traffic monitoring of route sections of a road network
US10274338B2 (en) * 2016-12-11 2019-04-30 International Business Machines Corporation Risk situations for vehicle occupants based on data provided by vehicle sensors and contextual information
KR20180069492A (en) * 2016-12-15 2018-06-25 현대자동차주식회사 Apparatus and Method for controlling Advanced Driver Assistance System
CN106408139B (en) * 2016-12-20 2019-08-06 中国人民解放军空军装备研究院雷达与电子对抗研究所 Airport arrival rate prediction technique and device
EP3563265B1 (en) * 2016-12-30 2021-06-02 DeepMap Inc. High definition map updates
US10986515B2 (en) * 2017-02-01 2021-04-20 Veniam, Inc. Systems and methods for context-aware and profile-based security in a network of moving things, for example including autonomous vehicles
US10127814B2 (en) * 2017-02-03 2018-11-13 Ford Global Technologies, Llc Advanced V2X event dissemination
JP2018135069A (en) * 2017-02-23 2018-08-30 パナソニックIpマネジメント株式会社 Information processing system, information processing method, and program
US10328973B2 (en) 2017-03-06 2019-06-25 Ford Global Technologies, Llc Assisting drivers with roadway lane changes
US10209718B2 (en) 2017-03-14 2019-02-19 Starsky Robotics, Inc. Vehicle sensor system and method of use
US10250611B2 (en) * 2017-03-14 2019-04-02 Allstate Insurance Company Authenticating drivers
US10139831B2 (en) * 2017-03-17 2018-11-27 Denso International America, Inc. Vehicle system and vehicle controller for controlling vehicle
US10140838B2 (en) * 2017-03-21 2018-11-27 GM Global Technology Operations LLC Automatic transmission of reminders for devices left behind
CN108665699B (en) * 2017-03-30 2020-04-03 杭州海康威视数字技术股份有限公司 Method and device for predicting vehicle appearance place
JP7074125B2 (en) * 2017-03-30 2022-05-24 ソニーグループ株式会社 Information processing equipment and information processing method
US10974718B2 (en) * 2017-03-31 2021-04-13 T-Mobile Usa, Inc. Managing communications between connected vehicles via a cellular network
US10548184B2 (en) 2017-03-31 2020-01-28 T-Mobile Usa, Inc. Managing communications for connected vehicles using a cellular network
KR20190125519A (en) * 2017-03-31 2019-11-06 티-모바일 유에스에이, 인크. Management of communications between connected vehicles via cellular network
US20180281784A1 (en) * 2017-03-31 2018-10-04 GM Global Technology Operations LLC Using a driver profile to enhance vehicle-to-everything applications
US20220012780A1 (en) 2017-04-05 2022-01-13 State Farm Mutual Automobile Insurance Company Systems and methods for estimating vehicle value via blockchain
US10527449B2 (en) 2017-04-10 2020-01-07 Microsoft Technology Licensing, Llc Using major route decision points to select traffic cameras for display
WO2018189841A1 (en) 2017-04-12 2018-10-18 川崎重工業株式会社 Dialog information output device and dialog information output method for vehicle
US11087267B1 (en) * 2017-04-12 2021-08-10 Wells Fargo Bank, N.A. Configurable vehicle
US11124139B2 (en) * 2017-04-12 2021-09-21 Kawasaki Jukogyo Kabushiki Kaisha Vehicle conversation information output device and conversation information output method
US10571285B2 (en) * 2017-04-17 2020-02-25 Ford Global Technologies, Llc Vehicle route control
US11148684B2 (en) * 2017-04-27 2021-10-19 Hitachi Automotive Systems, Ltd. Vehicle control device
CN110234542A (en) * 2017-04-28 2019-09-13 深圳市元征科技股份有限公司 A kind of control method for vehicle and vehicle
US11354616B1 (en) 2017-05-11 2022-06-07 State Farm Mutual Automobile Insurance Company Vehicle driver safety performance based on relativity
US10323951B2 (en) * 2017-05-11 2019-06-18 General Motors Llc Method of generating a navigation-based route for a vehicle
US10493994B1 (en) 2017-05-11 2019-12-03 State Farm Mutual Automobile Insurance Company Vehicle driver performance based on contextual changes and driver response
US10279793B2 (en) 2017-05-11 2019-05-07 Honda Motor Co., Ltd. Understanding driver awareness through brake behavior analysis
US12013695B1 (en) * 2017-05-16 2024-06-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation based on real-time analytics
US11282009B2 (en) 2017-05-23 2022-03-22 Uatc, Llc Fleet utilization efficiency for on-demand transportation services
EP3410382A1 (en) * 2017-05-30 2018-12-05 iOnRoad Technologies Ltd. Dynamic adaptation of insurance policy for a vehicle according to a selected driving profile
US11334216B2 (en) * 2017-05-30 2022-05-17 Palantir Technologies Inc. Systems and methods for visually presenting geospatial information
US10636293B2 (en) * 2017-06-07 2020-04-28 International Business Machines Corporation Uncertainty modeling in traffic demand prediction
US20180356817A1 (en) * 2017-06-07 2018-12-13 Uber Technologies, Inc. System and Methods to Enable User Control of an Autonomous Vehicle
JP7154286B2 (en) * 2017-06-09 2022-10-17 ロイ プラノイ Predictive traffic management system
US20170274908A1 (en) * 2017-06-12 2017-09-28 Xiaoning Huai Personalize self-driving cars
US10365653B2 (en) * 2017-06-12 2019-07-30 GM Global Technology Operations LLC Personalized autonomous vehicle ride characteristics
EP3416147B1 (en) * 2017-06-13 2020-01-15 Volvo Car Corporation Method for providing drowsiness alerts in vehicles
US10803536B1 (en) 2017-06-13 2020-10-13 Wells Fargo Bank, N.A. Property hunting trip in an autonomous vehicle
US10384602B1 (en) * 2017-06-14 2019-08-20 United Services Automobile Association Systems and methods for detecting and reducing distracted driving
CN110997387B (en) 2017-06-20 2023-06-20 动态Ad 有限责任公司 Risk handling for vehicles with autonomous driving capability
US10504368B2 (en) 2017-06-21 2019-12-10 International Business Machines Corporation Management of mobile objects
CN107230384B (en) * 2017-06-21 2020-09-25 深圳市盛路物联通讯技术有限公司 Parking guidance system and method based on expected parking duration and weather information
US10600322B2 (en) 2017-06-21 2020-03-24 International Business Machines Corporation Management of mobile objects
US10546488B2 (en) 2017-06-21 2020-01-28 International Business Machines Corporation Management of mobile objects
US10585180B2 (en) 2017-06-21 2020-03-10 International Business Machines Corporation Management of mobile objects
US10540895B2 (en) 2017-06-21 2020-01-21 International Business Machines Corporation Management of mobile objects
US10535266B2 (en) 2017-06-21 2020-01-14 International Business Machines Corporation Management of mobile objects
US10416043B2 (en) * 2017-06-23 2019-09-17 Paccar Inc Speed optimality analysis for evaluating the optimality of a powertrain
CN107331163A (en) * 2017-06-30 2017-11-07 贵阳海信网络科技有限公司 A kind of queue length computational methods and device
US11106917B2 (en) * 2017-07-04 2021-08-31 Turing Video Surveillance system with human-machine interface
US20190011275A1 (en) * 2017-07-06 2019-01-10 Andrew Whinston System and method for routing autonomous vehicles
US11651316B2 (en) 2017-07-14 2023-05-16 Allstate Insurance Company Controlling vehicles using contextual driver and/or rider data based on automatic passenger detection and mobility status
US11590981B2 (en) 2017-07-14 2023-02-28 Allstate Insurance Company Shared mobility service passenger matching based on passenger attributes
US11928621B2 (en) 2017-07-14 2024-03-12 Allstate Insurance Company Controlling vehicles using contextual driver and/or rider data based on automatic passenger detection and mobility status
CN107195190B (en) * 2017-07-19 2020-11-10 广东工业大学 Road condition information sharing system
JP6855968B2 (en) * 2017-07-20 2021-04-07 トヨタ自動車株式会社 Information processing equipment, information processing methods and information processing systems
CN107331164B (en) * 2017-07-25 2018-08-28 中南大学 A kind of prediction technique of freeway toll station entrance vehicle number
US10816975B2 (en) * 2017-08-09 2020-10-27 Toyota Motor Engineering & Manufacturing North America, Inc. Autonomous acceleration profile feedback system
CN107484139B (en) * 2017-08-14 2019-10-18 北京邮电大学 A kind of car networking Cooperative Localization Method and device based on geographical location information
JP6561095B2 (en) * 2017-09-01 2019-08-14 本田技研工業株式会社 Replenishment recommendation system and method
US11560177B1 (en) 2017-09-13 2023-01-24 State Farm Mutual Automobile Insurance Company Real-time vehicle driver feedback based on analytics
WO2019060298A1 (en) 2017-09-19 2019-03-28 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement
US20210224917A1 (en) 2017-09-27 2021-07-22 State Farm Mutual Automobile Insurance Company System and Method for Evaluating a Driving Behavior
WO2019068042A1 (en) 2017-09-29 2019-04-04 Netradyne Inc. Multiple exposure event determination
US10902336B2 (en) * 2017-10-03 2021-01-26 International Business Machines Corporation Monitoring vehicular operation risk using sensing devices
DE102017218091A1 (en) * 2017-10-11 2019-04-11 Bayerische Motoren Werke Aktiengesellschaft Method and device for updating traffic information
US10223601B1 (en) 2017-10-12 2019-03-05 Denso International America, Inc. Synthetic traffic object generator
EP3695666B1 (en) 2017-10-12 2023-11-29 Netradyne, Inc. Detection of driving actions that mitigate risk
US10670414B2 (en) * 2017-10-20 2020-06-02 Paypal, Inc. Load balancing for map application route selection and output
US10379535B2 (en) 2017-10-24 2019-08-13 Lear Corporation Drowsiness sensing system
DE102017219302A1 (en) * 2017-10-27 2019-05-02 Bayerische Motoren Werke Aktiengesellschaft Method for reducing the risk potential in road traffic
US11151883B2 (en) 2017-11-03 2021-10-19 International Business Machines Corporation Empathic autonomous vehicle
CN110914841A (en) * 2017-11-10 2020-03-24 宝马股份公司 Method and apparatus for determining travel destination from user-generated content
DE102017220033A1 (en) 2017-11-10 2019-05-16 Volkswagen Aktiengesellschaft Method for vehicle navigation
US10239452B1 (en) * 2017-11-15 2019-03-26 Ford Global Technologies, Llc Minimizing false collision avoidance warnings
CN107886339A (en) * 2017-11-15 2018-04-06 百度在线网络技术(北京)有限公司 Method and apparatus for output information
US10498685B2 (en) * 2017-11-20 2019-12-03 Google Llc Systems, methods, and apparatus for controlling provisioning of notifications based on sources of the notifications
US11717686B2 (en) 2017-12-04 2023-08-08 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to facilitate learning and performance
US10836403B2 (en) 2017-12-04 2020-11-17 Lear Corporation Distractedness sensing system
US11273836B2 (en) 2017-12-18 2022-03-15 Plusai, Inc. Method and system for human-like driving lane planning in autonomous driving vehicles
US20190185012A1 (en) 2017-12-18 2019-06-20 PlusAI Corp Method and system for personalized motion planning in autonomous driving vehicles
EP3729001A4 (en) * 2017-12-18 2021-07-28 PlusAI Corp Method and system for human-like driving lane planning in autonomous driving vehicles
US11130497B2 (en) * 2017-12-18 2021-09-28 Plusai Limited Method and system for ensemble vehicle control prediction in autonomous driving vehicles
US10648826B2 (en) * 2017-12-20 2020-05-12 Mastercard International Incorporated Providing stop recommendations based on a travel path and transaction data
CN107945557B (en) * 2017-12-21 2020-10-23 爱驰汽车有限公司 Real-time road condition display method and device, computing equipment and computer storage medium
JP6939534B2 (en) * 2017-12-26 2021-09-22 トヨタ自動車株式会社 Vehicle allocation management device
KR20190078996A (en) * 2017-12-27 2019-07-05 삼성전자주식회사 Electronic device for providing operation information of a vecicle and method for the same
JP7035531B2 (en) * 2017-12-28 2022-03-15 トヨタ自動車株式会社 Vehicle operation management system
US11478603B2 (en) 2017-12-31 2022-10-25 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to enhance emotional response
US11104353B2 (en) * 2018-01-02 2021-08-31 Telenav, Inc. Computing system with autonomous operation mechanism and method of operation thereof
US11718303B2 (en) * 2018-01-03 2023-08-08 Toyota Research Institute, Inc. Vehicles and methods for building vehicle profiles based on reactions created by surrounding vehicles
US10780890B2 (en) 2018-01-03 2020-09-22 Toyota Research Institute, Inc. Vehicle systems and methods for detecting and mitigating an incapacitated driver
US10274950B1 (en) 2018-01-06 2019-04-30 Drivent Technologies Inc. Self-driving vehicle systems and methods
US10303181B1 (en) 2018-11-29 2019-05-28 Eric John Wengreen Self-driving vehicle systems and methods
US11073838B2 (en) 2018-01-06 2021-07-27 Drivent Llc Self-driving vehicle systems and methods
US10299216B1 (en) 2018-01-06 2019-05-21 Eric John Wengreen Self-driving vehicle actions in response to a low battery
JP2019121320A (en) * 2018-01-11 2019-07-22 株式会社小糸製作所 Inter-vehicle communication system, vehicle system, illumination system for vehicle, and vehicle
WO2019142276A1 (en) * 2018-01-17 2019-07-25 三菱電機株式会社 Driving control device, driving control method, and driving control program
US10733881B2 (en) 2018-01-23 2020-08-04 International Business Machines Corporation Detection of vehicle queueing events on a road
US20190236949A1 (en) * 2018-01-26 2019-08-01 Delphi Technologies, Llc Traffic control system
CN110085024A (en) * 2018-01-26 2019-08-02 德尔福技术有限责任公司 Traffic control system
US10755111B2 (en) 2018-01-29 2020-08-25 Micron Technology, Inc. Identifying suspicious entities using autonomous vehicles
US10460185B2 (en) * 2018-01-30 2019-10-29 Toyota Motor Engineering & Manufacturing North America, Inc. Roadside image tracking system
CN108109380B (en) * 2018-01-31 2020-12-15 迈锐数据(北京)有限公司 System, method and device for detecting vehicle queuing length
US10210409B1 (en) * 2018-02-07 2019-02-19 Lear Corporation Seating system with occupant stimulation and sensing
GB201802366D0 (en) * 2018-02-14 2018-03-28 Tom Tom Traffic B V Methods and systems for generating taffic volumn or traffic density data
US11059494B1 (en) 2018-02-15 2021-07-13 State Farm Mutual Automobile Insurance Company System and method for transferring preferences for autonomous driving
DE102018202623A1 (en) * 2018-02-21 2019-09-12 Bayerische Motoren Werke Aktiengesellschaft System and method for automatic adjustment of vehicle functions
KR102481487B1 (en) * 2018-02-27 2022-12-27 삼성전자주식회사 Autonomous driving apparatus and method thereof
US11009876B2 (en) 2018-03-14 2021-05-18 Micron Technology, Inc. Systems and methods for evaluating and sharing autonomous vehicle driving style information with proximate vehicles
US11727794B2 (en) 2018-03-14 2023-08-15 Micron Technology, Inc. Systems and methods for evaluating and sharing human driving style information with proximate vehicles
CN108284838A (en) * 2018-03-27 2018-07-17 杭州欧镭激光技术有限公司 A kind of detecting system and detection method for detecting outside vehicle environmental information
US10909494B2 (en) * 2018-03-27 2021-02-02 Accenture Global Solutions Limited System for collaborative logistics using a collaborative logistics map and a knowledge graph
US11206375B2 (en) 2018-03-28 2021-12-21 Gal Zuckerman Analyzing past events by utilizing imagery data captured by a plurality of on-road vehicles
US10578456B2 (en) * 2018-03-28 2020-03-03 Intel Corporation Safety enhanced computer assisted driving method and apparatus
JP6612916B2 (en) * 2018-03-29 2019-11-27 株式会社Subaru Automatic driving integrated control device, automatic driving integrated control system, and vehicle control device
US10676085B2 (en) 2018-04-11 2020-06-09 Aurora Innovation, Inc. Training machine learning model based on training instances with: training instance input based on autonomous vehicle sensor data, and training instance output based on additional vehicle sensor data
US11550061B2 (en) * 2018-04-11 2023-01-10 Aurora Operations, Inc. Control of autonomous vehicle based on environmental object classification determined using phase coherent LIDAR data
US10997429B2 (en) 2018-04-11 2021-05-04 Micron Technology, Inc. Determining autonomous vehicle status based on mapping of crowdsourced object data
US10739147B2 (en) 2018-04-11 2020-08-11 Toyota Jidosha Kabushiki Kaisha Hierarchical route generation, provision, and selection
US20190315342A1 (en) * 2018-04-13 2019-10-17 GM Global Technology Operations LLC Preference adjustment of autonomous vehicle performance dynamics
US11821741B2 (en) 2018-04-17 2023-11-21 Lp-Research Inc. Stress map and vehicle navigation route
US11364361B2 (en) 2018-04-20 2022-06-21 Neuroenhancement Lab, LLC System and method for inducing sleep by transplanting mental states
US10867218B2 (en) 2018-04-26 2020-12-15 Lear Corporation Biometric sensor fusion to classify vehicle passenger state
US11092963B2 (en) * 2018-04-27 2021-08-17 Motional Ad Llc Autonomous vehicle operation based on passenger-count
US11334753B2 (en) 2018-04-30 2022-05-17 Uatc, Llc Traffic signal state classification for autonomous vehicles
US10979857B2 (en) 2018-05-03 2021-04-13 Curbside Inc. Content conversion tracking based on location data
WO2019216584A1 (en) * 2018-05-07 2019-11-14 Samsung Electronics Co., Ltd. Method and electronic device for determining safety driving score
KR102563708B1 (en) * 2018-05-14 2023-08-09 주식회사 에이치엘클레무브 Apparatus and method for alerting front vehicle start
CN108806282B (en) * 2018-06-01 2020-09-04 浙江大学 Lane group maximum queuing length estimation method based on sample travel time information
US10922969B2 (en) * 2018-06-04 2021-02-16 GM Global Technology Operations LLC Systems, methods and apparatuses for detecting elevated freeways to prevent engaging cruise features
DE102018209191A1 (en) * 2018-06-08 2019-12-12 Volkswagen Aktiengesellschaft Method and system for operating an automatic driving function in a vehicle
JP7040306B2 (en) 2018-06-13 2022-03-23 トヨタ自動車株式会社 A recording medium that records an operation evaluation device, an operation evaluation method, and an operation evaluation program.
JP7040307B2 (en) * 2018-06-13 2022-03-23 トヨタ自動車株式会社 A recording medium that records an operation evaluation device, an operation evaluation method, and an operation evaluation program.
US11161518B2 (en) 2018-06-15 2021-11-02 Micron Technology, Inc. Detecting road conditions based on braking event data received from vehicles
CN108944740B (en) * 2018-07-10 2022-04-29 深圳市斗索科技有限公司 Vehicle control method and system
US11169601B2 (en) * 2018-07-12 2021-11-09 Toyota Research Institute, Inc. Methods and systems for determining teleoperating user intent via eye tracking
US10909866B2 (en) * 2018-07-20 2021-02-02 Cybernet Systems Corp. Autonomous transportation system and methods
CN112513979A (en) * 2018-07-24 2021-03-16 佛吉亚歌乐电子有限公司 Information collection device and control method
WO2020023876A1 (en) 2018-07-27 2020-01-30 Class G Incorporated Air traffic tolling system
US10466057B1 (en) 2018-07-30 2019-11-05 Wesley Edward Schwie Self-driving vehicle systems and methods
US10242571B1 (en) 2018-08-02 2019-03-26 Mapanything, Inc. Utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage
US11293770B2 (en) 2018-08-02 2022-04-05 salesforces.com, Inc. Geographic routing engine
US11138418B2 (en) 2018-08-06 2021-10-05 Gal Zuckerman Systems and methods for tracking persons by utilizing imagery data captured by on-road vehicles
JP2020027400A (en) * 2018-08-10 2020-02-20 本田技研工業株式会社 Controller and program
KR20210042387A (en) * 2018-08-14 2021-04-19 모빌아이 비젼 테크놀로지스 엘티디. Systems and methods for navigating at a safe distance
KR102485441B1 (en) * 2018-09-03 2023-01-06 현대자동차주식회사 Vehicle and vehicle system
US20200082287A1 (en) * 2018-09-10 2020-03-12 Here Global B.V. Method and apparatus for selecting a vehicle using a passenger-based driving profile
WO2020056418A1 (en) 2018-09-14 2020-03-19 Neuroenhancement Lab, LLC System and method of improving sleep
US10493952B1 (en) 2019-03-21 2019-12-03 Drivent Llc Self-driving vehicle systems and methods
US10289922B1 (en) 2018-09-18 2019-05-14 Eric John Wengreen System for managing lost, mislaid, or abandoned property in a self-driving vehicle
US10471804B1 (en) 2018-09-18 2019-11-12 Drivent Llc Self-driving vehicle systems and methods
US10223844B1 (en) 2018-09-18 2019-03-05 Wesley Edward Schwie Self-driving vehicle systems and methods
US10282625B1 (en) 2018-10-01 2019-05-07 Eric John Wengreen Self-driving vehicle systems and methods
US10479319B1 (en) 2019-03-21 2019-11-19 Drivent Llc Self-driving vehicle systems and methods
US11181387B2 (en) * 2018-09-27 2021-11-23 International Business Machines Corporation Dynamic routing system
US11038895B2 (en) 2018-09-28 2021-06-15 Intel Corporation Trust management mechanisms
US10794714B2 (en) 2018-10-01 2020-10-06 Drivent Llc Self-driving vehicle systems and methods
US10900792B2 (en) 2018-10-22 2021-01-26 Drivent Llc Self-driving vehicle systems and methods
US11221622B2 (en) 2019-03-21 2022-01-11 Drivent Llc Self-driving vehicle systems and methods
US11644833B2 (en) 2018-10-01 2023-05-09 Drivent Llc Self-driving vehicle systems and methods
US10832569B2 (en) 2019-04-02 2020-11-10 Drivent Llc Vehicle detection systems
US11678252B2 (en) * 2018-10-05 2023-06-13 Huawei Technologies Co., Ltd. Quality of service information notification to user equipment, users, and application server
DE102018008045B4 (en) * 2018-10-11 2020-07-23 Daimler Ag Method and device for controlling display content on an output means of a vehicle
US10977882B1 (en) * 2018-10-17 2021-04-13 Lytx, Inc. Driver health profile
US11636353B2 (en) * 2018-10-19 2023-04-25 International Business Machines Corporation Cognitive system for localized LIDAR pollution detection using autonomous vehicles
US10890460B2 (en) * 2018-10-19 2021-01-12 International Business Machines Corporation Navigation and location validation for optimizing vehicle-based transit systems
US10240938B1 (en) 2018-10-22 2019-03-26 Drivent Technologies Inc. Self-driving vehicle systems and methods
US11648951B2 (en) 2018-10-29 2023-05-16 Motional Ad Llc Systems and methods for controlling actuators based on load characteristics and passenger comfort
DE102018218491A1 (en) * 2018-10-29 2020-04-30 Robert Bosch Gmbh Method for vehicle-based verification of at least one recognized danger point
CN112969622A (en) * 2018-10-30 2021-06-15 动态Ad有限责任公司 Redundancy in autonomous vehicles
US10481606B1 (en) 2018-11-01 2019-11-19 Drivent Llc Self-driving vehicle systems and methods
US10286908B1 (en) 2018-11-01 2019-05-14 Eric John Wengreen Self-driving vehicle systems and methods
US11086319B2 (en) 2018-11-02 2021-08-10 Aurora Operations, Inc. Generating testing instances for autonomous vehicles
US11256263B2 (en) 2018-11-02 2022-02-22 Aurora Operations, Inc. Generating targeted training instances for autonomous vehicles
US11209821B2 (en) 2018-11-02 2021-12-28 Aurora Operations, Inc. Labeling autonomous vehicle data
US11829143B2 (en) 2018-11-02 2023-11-28 Aurora Operations, Inc. Labeling autonomous vehicle data
US11403492B2 (en) 2018-11-02 2022-08-02 Aurora Operations, Inc. Generating labeled training instances for autonomous vehicles
US11163312B2 (en) 2018-11-02 2021-11-02 Aurora Operations, Inc. Removable automotive LIDAR data collection POD
US10940870B1 (en) * 2018-11-28 2021-03-09 BlueOwl, LLC Systems and methods for visualizing predicted driving risk
US11021147B2 (en) 2018-12-12 2021-06-01 Toyota Research Institute, Inc. Vehicles and methods for determining objects of driver focus
US10692388B1 (en) 2018-12-14 2020-06-23 General Electric Company Global environmental data and application methods for understanding engine health and maintenance
CN110647789A (en) * 2018-12-29 2020-01-03 北京奇虎科技有限公司 Method and device for identifying position of traffic signal lamp
WO2020133452A1 (en) * 2018-12-29 2020-07-02 驭势科技(北京)有限公司 Intelligent communication method and apparatus
US11237565B2 (en) 2019-01-03 2022-02-01 International Business Machines Corporation Optimal driving characteristic adjustment for autonomous vehicles
US11577742B2 (en) * 2019-01-04 2023-02-14 Cerence Operating Company Methods and systems for increasing autonomous vehicle safety and flexibility using voice interaction
DE102019200935B4 (en) * 2019-01-25 2020-10-01 Audi Ag Method for operating an autonomously moving road user
US10668930B1 (en) 2019-02-04 2020-06-02 State Farm Mutual Automobile Insurance Company Determining acceptable driving behavior based on vehicle specific characteristics
US10744976B1 (en) 2019-02-04 2020-08-18 Drivent Llc Self-driving vehicle systems and methods
US10377342B1 (en) 2019-02-04 2019-08-13 Drivent Technologies Inc. Self-driving vehicle systems and methods
US11466994B2 (en) * 2019-02-08 2022-10-11 Uber Technologies, Inc. Optimized issue reporting system
US11790773B2 (en) 2019-02-25 2023-10-17 Quantifly Llc Vehicle parking data collection system and method
US11443394B2 (en) * 2019-03-22 2022-09-13 International Business Machines Corporation Blockchain based building action management
CN109903563B (en) * 2019-03-27 2021-08-17 武汉理工大学 Secondary parking line position optimization system and method during mixed traveling of bus lane
IT201900004795A1 (en) * 2019-03-29 2020-09-29 Fiat Ricerche AUTOMATIC SPEED REGULATION OF A VEHICLE BASED ON THE DRIVER'S DRIVING BEHAVIOR
US10699564B1 (en) 2019-04-04 2020-06-30 Geotab Inc. Method for defining intersections using machine learning
US11403938B2 (en) 2019-04-04 2022-08-02 Geotab Inc. Method for determining traffic metrics of a road network
US11335189B2 (en) 2019-04-04 2022-05-17 Geotab Inc. Method for defining road networks
US11335191B2 (en) 2019-04-04 2022-05-17 Geotab Inc. Intelligent telematics system for defining road networks
US11341846B2 (en) 2019-04-04 2022-05-24 Geotab Inc. Traffic analytics system for defining road networks
EP3723063A1 (en) * 2019-04-08 2020-10-14 Ningbo Geely Automobile Research & Development Co. Ltd. Understanding road signs
EP3723062A1 (en) * 2019-04-09 2020-10-14 Siemens Aktiengesellschaft Method and device for the computer-implemented routing of motor vehicles in a predetermined area
US11450157B2 (en) * 2019-04-14 2022-09-20 Otonomo Technologies Ltd. Method and system for bundling automotive data
US11472291B2 (en) 2019-04-25 2022-10-18 Motional Ad Llc Graphical user interface for display of autonomous vehicle behaviors
DE102020111250A1 (en) 2019-04-25 2020-10-29 Aptiv Technologies Limited GRAPHIC USER INTERFACE FOR DISPLAYING THE BEHAVIOR OF AUTONOMOUS VEHICLES
CN110335459A (en) * 2019-04-26 2019-10-15 同济大学 The intersection queue length estimation method and device of low-permeability track of vehicle data
JP7464240B2 (en) * 2019-04-26 2024-04-09 Necソリューションイノベータ株式会社 Prediction model generation device, travel suitability prediction device, prediction model production method, travel suitability prediction method, program and recording medium
CN110001654B (en) * 2019-05-06 2023-07-28 吉林大学 Intelligent vehicle longitudinal speed tracking control system and control method for self-adaptive driver type
US11474518B2 (en) * 2019-05-13 2022-10-18 International Business Machines Corporation Event validation using multiple sources
CN110136437B (en) * 2019-05-14 2021-03-19 青岛海信网络科技股份有限公司 Method and device for determining left-right interference problem of intersection entrance lane
KR102061750B1 (en) * 2019-05-15 2020-01-03 주식회사 라이드플럭스 Method and apparatus for controlling a vehicle’s driving operation using advance information
US11485374B2 (en) * 2019-05-21 2022-11-01 Pony Ai Inc. System and method for evacuation of a vehicle in condition
CN110263378A (en) * 2019-05-22 2019-09-20 北京汽车股份有限公司 Wiper big data analysis method and apparatus, storage medium
US11374768B2 (en) * 2019-06-11 2022-06-28 Mastercard International Incorporated Method and system for real-time driving alerts
CN110365746A (en) * 2019-06-24 2019-10-22 广州艾帝西信息科技有限公司 A kind of information transferring method and system
DE102019209487A1 (en) * 2019-06-28 2020-12-31 Volkswagen Aktiengesellschaft Process for anonymizing vehicle data
US11422553B2 (en) * 2019-06-28 2022-08-23 Intel Corporation Methods and apparatus to adjust autonomous vehicle driving software using machine programming
CN110456807B (en) * 2019-07-02 2021-01-12 西北工业大学 Multi-spacecraft consistency dynamic gain control method
US11295098B1 (en) * 2019-07-29 2022-04-05 Dev Kumar Thappla Smart driver card device and driver data and traffic management system
US11524691B2 (en) 2019-07-29 2022-12-13 Lear Corporation System and method for controlling an interior environmental condition in a vehicle
KR102135256B1 (en) * 2019-08-08 2020-07-17 엘지전자 주식회사 Method for user authentication of vehicle in autonomous driving system and apparatus thereof
CN110610133A (en) * 2019-08-09 2019-12-24 合肥京东方车载显示技术有限公司 Vehicle communication method and device and terminal equipment
US11100801B2 (en) * 2019-08-12 2021-08-24 Toyota Motor North America, Inc. Utilizing sensors to detect hazard from other vehicle while driving
CN112389451A (en) * 2019-08-14 2021-02-23 大众汽车(中国)投资有限公司 Method, device, medium, and vehicle for providing a personalized driving experience
US11474530B1 (en) 2019-08-15 2022-10-18 Amazon Technologies, Inc. Semantic navigation of autonomous ground vehicles
JPWO2021039319A1 (en) * 2019-08-29 2021-03-04
US11572067B2 (en) 2019-08-30 2023-02-07 7980302 Canada Inc. Using ISA system to decelerate truck upon entering geofenced area
US10957189B1 (en) * 2019-09-09 2021-03-23 GM Global Technology Operations LLC Automatic vehicle alert and reporting systems and methods
CN110766939B (en) * 2019-09-20 2020-11-06 重庆交通大学 Signalized intersection queuing length estimation method based on vehicle track data
DE102019214476A1 (en) * 2019-09-23 2021-03-25 Siemens Mobility GmbH Data connection operating method, data transmission unit and vehicle with data transmission unit
US20210094565A1 (en) * 2019-09-30 2021-04-01 Ghost Locomotion Inc. Motion-based scene selection for an autonomous vehicle
US20210101618A1 (en) * 2019-10-02 2021-04-08 Upstream Security, Ltd. System and method for connected vehicle risk detection
CN110930698B (en) * 2019-11-18 2021-05-04 北京交通大学 Front road transparent calculation method under 5G Internet of vehicles environment
US11636405B2 (en) 2019-11-20 2023-04-25 Here Global B.V. Method, apparatus and computer program product for vehicle platooning
US20210148716A1 (en) * 2019-11-20 2021-05-20 Here Global B.V. Method, apparatus and computer program product for vehicle platooning
US10966069B1 (en) * 2019-12-02 2021-03-30 Toyota Motor Engineering & Manufacturing North America, Inc. Systems and methods for HD map generation using an edge server network
US11521487B2 (en) * 2019-12-09 2022-12-06 Here Global B.V. System and method to generate traffic congestion estimation data for calculation of traffic condition in a region
CN110901646B (en) * 2019-12-11 2021-08-31 北京小马慧行科技有限公司 Vehicle control method, control device, storage medium, and processor
GB201918833D0 (en) * 2019-12-19 2020-02-05 Tomtom Traffic Bv Methods and systems for generating traffic volume data
US11450205B2 (en) * 2019-12-31 2022-09-20 Zoox, Inc. Emergency vehicle detection and response
US11669071B2 (en) 2020-01-08 2023-06-06 International Business Machines Corporation Organizing a temporary device group for collaborative computing
US11414088B2 (en) * 2020-01-16 2022-08-16 Toyota Motor Engineering & Manufacturing North America, Inc. Anomalous driver detection system
US20210225092A1 (en) * 2020-01-16 2021-07-22 Ford Global Technologies, Llc Method and apparatus for one to many vehicle broadcast handling
JP7140154B2 (en) * 2020-03-04 2022-09-21 トヨタ自動車株式会社 vehicle controller
US11187551B2 (en) * 2020-03-10 2021-11-30 International Business Machines Corporation Methods and systems for recommending activities to users onboard vehicles
EP3913551A1 (en) * 2020-05-19 2021-11-24 GEOTAB Inc. Method for defining road networks
US11526711B1 (en) * 2020-05-20 2022-12-13 State Farm Mutual Automobile Insurance Company Synchronizing image data with either vehicle telematics data or infrastructure data pertaining to a road segment
US11571969B2 (en) * 2020-06-04 2023-02-07 Toyota Motor Engineering & Manufacturing North America, Inc. External communication suppression device for driving automation
US11702083B2 (en) 2020-06-11 2023-07-18 7980302 Canada Inc. Using ISA system to implement a speed policy identified based on profile of a driving instance
CN111432347B (en) * 2020-06-11 2020-09-08 腾讯科技(深圳)有限公司 Information processing method, information processing apparatus, storage medium, and electronic device
EP3932699A1 (en) 2020-07-03 2022-01-05 Webfleet Solutions B.V. Tyre selection method and system
CN113934203A (en) * 2020-07-09 2022-01-14 奥迪股份公司 Method, apparatus and storage medium for controlling autonomous vehicle
US11393336B2 (en) * 2020-08-10 2022-07-19 International Business Machines Corporation Smog analysis via digital computing platforms
US11654919B2 (en) * 2020-08-11 2023-05-23 Aptiv Technologies Limited Adaptive user-specific automated driver assistance system warnings
US11613271B2 (en) * 2020-08-18 2023-03-28 Allstate Insurance Company Driver behavior tracking and prediction
US11749105B2 (en) * 2020-10-01 2023-09-05 Magna Electronics Inc. Vehicular communication system with turn signal identification
JP7363734B2 (en) * 2020-10-02 2023-10-18 トヨタ自動車株式会社 Traffic management system, traffic management method, and traffic management program
US11709061B2 (en) 2020-10-16 2023-07-25 Argo AI, LLC Systems and methods for multi-modal transfer capabilities for smart infrastructure
CN112269385B (en) * 2020-10-23 2021-09-07 北京理工大学 Cloud unmanned vehicle dynamics control system and method
CN112450003A (en) * 2020-11-17 2021-03-09 刘德 Urban planning method based on volume rate control technology
US20240046784A1 (en) * 2020-12-04 2024-02-08 Viavi Solutions Inc. Distributed acoustic sensing of traffic
CN112712712B (en) * 2020-12-21 2022-05-20 阿波罗智联(北京)科技有限公司 Method and device for determining vehicle queuing information, road side equipment and cloud control platform
JP7212078B2 (en) * 2021-01-12 2023-01-24 本田技研工業株式会社 Vehicle system for determining recommended lanes
US11847914B2 (en) * 2021-01-22 2023-12-19 Ford Global Technologies, Llc Air pollution detection and remediation systems and methods
JP2022122777A (en) * 2021-02-10 2022-08-23 トヨタ自動車株式会社 Information processing apparatus, information processing method, and program
US11904855B2 (en) 2021-02-12 2024-02-20 Toyota Motor Engineering & Manufacturing North America, Inc. Cooperative driving system and method
US11615478B2 (en) 2021-02-19 2023-03-28 Allstate Insurance Company Selectively shared vehicle-based telematics
JP7415978B2 (en) * 2021-02-22 2024-01-17 トヨタ自動車株式会社 Information processing device, program and information processing method
JP2022139190A (en) * 2021-03-11 2022-09-26 本田技研工業株式会社 Drive support device and vehicle
US11702098B2 (en) * 2021-03-23 2023-07-18 The Regents Of The University Of Michigan Roadmanship systems and methods
US11872985B2 (en) * 2021-03-30 2024-01-16 Toyota Motor Engineering & Manufacturing North America, Inc. Determining a setting for a cruise control
US11749108B2 (en) * 2021-03-31 2023-09-05 Honda Motor Co., Ltd. System and method for lane level traffic state estimation
DE102021206152B4 (en) 2021-06-16 2024-06-13 Volkswagen Aktiengesellschaft Method for authenticating a user of a vehicle and vehicle
US11831688B2 (en) * 2021-06-18 2023-11-28 Capital One Services, Llc Systems and methods for network security
US11851070B1 (en) * 2021-07-13 2023-12-26 Lytx, Inc. Driver identification using geospatial information
US11875611B2 (en) * 2021-08-03 2024-01-16 GM Global Technology Operations LLC Remote observation and reporting of vehicle operating condition via V2X communication
CN113568434B (en) * 2021-08-26 2024-03-12 中国人民解放军空军军医大学 Unmanned aerial vehicle flight control system
TWI782695B (en) * 2021-09-06 2022-11-01 致茂電子股份有限公司 Dual sided optical detection system with fluorescence detection function
CN114241756B (en) * 2021-12-07 2023-03-31 中交第一公路勘察设计研究院有限公司 Method and system for dynamically using hard road shoulder during construction of expressway
CN114162068B (en) * 2021-12-31 2023-12-15 阿维塔科技(重庆)有限公司 Method and device for managing intelligent driving function of vehicle and vehicle
DE102022000185A1 (en) * 2022-01-18 2023-07-20 Mercedes-Benz Group AG Method for determining a user-specific driving profile for an automated driving of a vehicle
FR3133815A1 (en) * 2022-03-23 2023-09-29 Hypervisoul Group METHOD FOR INCREASING THE TRANSPORT CAPACITY OF A ROAD FOR AUTOMATED CONNECTED VEHICLES
US20230368670A1 (en) * 2022-05-10 2023-11-16 Qualcomm Incorporated Techniques for detecting vulnerable road users
FR3136579A1 (en) * 2022-06-14 2023-12-15 Psa Automobiles Sa Method and device for controlling a system for indicating a speed limit of a vehicle based on air pollution information
DE102022206506A1 (en) 2022-06-28 2023-12-28 Volkswagen Aktiengesellschaft Method for setting up a virtual ad hoc network and central data processing device
US20240010044A1 (en) * 2022-07-05 2024-01-11 Airlib Inc. Vehicle Cabin Air Quality Management
US12000706B2 (en) * 2022-07-29 2024-06-04 Toyota Connected North America, Inc. Vehicle carbon footprint management
US20240070158A1 (en) * 2022-08-31 2024-02-29 Alfred R. Barber Systems and methods for older driver/certified driver evaluation
DE102022122780A1 (en) 2022-09-08 2024-03-14 Bayerische Motoren Werke Aktiengesellschaft Device and method for safely activating vehicle functions in the vehicle
US20240169832A1 (en) * 2022-11-18 2024-05-23 HAAS, Inc. Methods and systems for vehicle alerting based on the functional classification of roads
CN115985124B (en) * 2022-11-30 2024-02-06 禾多科技(北京)有限公司 Vehicle running control method and device, storage medium and electronic device

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120109521A1 (en) * 2010-10-27 2012-05-03 Reagan Inventions, Llc System and method of integrating lane position monitoring with locational information systems
US20130151145A1 (en) * 2011-12-13 2013-06-13 Ken Ishikawa Display system, display method, and display program
US20130204520A1 (en) * 2012-02-07 2013-08-08 Denso Corporation Vehicle navigation system
US20130275033A1 (en) * 2010-12-31 2013-10-17 Edwin Bastiaensen Navigation methods and systems
US20130278441A1 (en) * 2012-04-24 2013-10-24 Zetta Research and Development, LLC - ForC Series Vehicle proxying
US20150098621A1 (en) * 2013-10-09 2015-04-09 Xerox Corporation Video based method and system for automated side-by-side traffic load balancing
US9243925B2 (en) * 2013-08-27 2016-01-26 Google Inc. Generating a sequence of lane-specific driving directions

Family Cites Families (287)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7164117B2 (en) * 1992-05-05 2007-01-16 Automotive Technologies International, Inc. Vehicular restraint system control system and method using multiple optical imagers
US5189621A (en) * 1987-05-06 1993-02-23 Hitachi, Ltd. Electronic engine control apparatus
FR2648905B1 (en) * 1989-06-26 1994-06-17 Est Ctre Etu Techn Equipement DEVICE FOR ASSESSING THE BEHAVIOR OF ROAD USERS
EP0578788A1 (en) * 1991-11-01 1994-01-19 Motorola, Inc. A vehicle route planning system
US5465289A (en) 1993-03-05 1995-11-07 E-Systems, Inc. Cellular based traffic sensor system
US6317721B1 (en) * 1995-04-10 2001-11-13 Texas Instruments Incorporated Transaction accounting of toll transactions in transponder systems
US7629899B2 (en) * 1997-10-22 2009-12-08 Intelligent Technologies International, Inc. Vehicular communication arrangement and method
US7110880B2 (en) * 1997-10-22 2006-09-19 Intelligent Technologies International, Inc. Communication method and arrangement
WO1997020433A1 (en) * 1995-12-01 1997-06-05 Southwest Research Institute Methods and apparatus for traffic incident detection
DE19606258C1 (en) 1996-02-06 1997-04-30 Mannesmann Ag Vehicle autonomous traffic jam detection method
US5878368A (en) 1996-09-13 1999-03-02 Magellan Dis, Inc. Navigation system with user definable cost values
US20020150050A1 (en) * 1999-06-17 2002-10-17 Nathanson Martin D. Automotive telemetry protocol
JPH11304518A (en) 1998-04-22 1999-11-05 Sanyo Electric Co Ltd Navigation device
DE19835979B4 (en) * 1998-08-08 2005-01-05 Daimlerchrysler Ag Method for monitoring traffic conditions and vehicle inflow control in a road network
DE19843395A1 (en) * 1998-09-22 2000-03-23 Volkswagen Ag Method for speed and / or distance control in motor vehicles
US6177885B1 (en) * 1998-11-03 2001-01-23 Esco Electronics, Inc. System and method for detecting traffic anomalies
US6542808B2 (en) 1999-03-08 2003-04-01 Josef Mintz Method and system for mapping traffic congestion
US6401034B1 (en) * 1999-09-02 2002-06-04 Navigation Technologies Corp. Method and system for finding intermediate destinations with a navigation system
US6490519B1 (en) * 1999-09-27 2002-12-03 Decell, Inc. Traffic monitoring system and methods for traffic monitoring and route guidance useful therewith
JP2001188986A (en) * 1999-12-30 2001-07-10 Hiroshi Tanaka Method for measuring vehicle travel speed and traffic volume on road by aerial photography
US6697730B2 (en) 2000-04-04 2004-02-24 Georgia Tech Research Corp. Communications and computing based urban transit system
JP4517256B2 (en) 2000-04-25 2010-08-04 ソニー株式会社 Car equipment
US6553301B1 (en) * 2000-05-19 2003-04-22 General Motors Corporation System and method of providing optimal fuel economy for automobiles
US6765495B1 (en) * 2000-06-07 2004-07-20 Hrl Laboratories, Llc Inter vehicle communication system
US8346580B2 (en) * 2000-06-09 2013-01-01 Flash Seats, Llc System and method for managing transfer of ownership rights to access to a venue and allowing access to the venue to patron with the ownership right
US6317686B1 (en) * 2000-07-21 2001-11-13 Bin Ran Method of providing travel time
US7203598B1 (en) * 2000-09-26 2007-04-10 Nortel Networks Limited Traffic information and automatic route guidance
JP2002123894A (en) * 2000-10-16 2002-04-26 Hitachi Ltd Method and apparatus for controlling probe car and traffic control system using probe car
US6801850B1 (en) * 2000-10-30 2004-10-05 University Of Illionis - Chicago Method and system for tracking moving objects
US6615133B2 (en) * 2001-02-27 2003-09-02 International Business Machines Corporation Apparatus, system, method and computer program product for determining an optimum route based on historical information
CA2339433A1 (en) * 2001-03-07 2002-09-07 Lawrence Solomon Road toll system for alleviating traffic congestion
US6615137B2 (en) * 2001-06-26 2003-09-02 Medius, Inc. Method and apparatus for transferring information between vehicles
US6950504B1 (en) * 2001-07-06 2005-09-27 Cingular Wireless Ii, Inc. Method and apparatus for providing personal audio alert messaging for audio alerting capable terminals
DE60121963T2 (en) * 2001-10-15 2007-01-18 Ford Global Technologies, LLC, Dearborn Method and device for controlling a vehicle
JP3933929B2 (en) * 2001-12-28 2007-06-20 アルパイン株式会社 Navigation device
US20030162523A1 (en) * 2002-02-27 2003-08-28 Michael Kapolka Vehicle telemetry system and method
US7221287B2 (en) 2002-03-05 2007-05-22 Triangle Software Llc Three-dimensional traffic report
EP1502078A1 (en) * 2002-04-30 2005-02-02 Telmap Ltd. Template-based map distribution system
US7483840B2 (en) * 2002-08-23 2009-01-27 Atera /Solutions Llc Randomized competitive insurance pricing system and method
KR100688856B1 (en) 2002-09-24 2007-03-02 산요덴키가부시키가이샤 Navigation apparatus and server apparatus
JP3885716B2 (en) * 2002-11-21 2007-02-28 日産自動車株式会社 Recommended operation amount generator for vehicles
US7155339B2 (en) * 2003-06-13 2006-12-26 Alpine Electronics, Inc. Display method and apparatus for navigation system for searching POI and arranging listing order of POI
US7821421B2 (en) * 2003-07-07 2010-10-26 Sensomatix Ltd. Traffic information system
DE10343683A1 (en) * 2003-09-20 2005-04-21 Daimler Chrysler Ag Information system for motor vehicles
JP4507815B2 (en) * 2004-07-09 2010-07-21 アイシン・エィ・ダブリュ株式会社 Signal information creating method, signal guide information providing method, and navigation apparatus
US7091880B2 (en) * 2004-07-15 2006-08-15 Raytheon Company Licensed driver detection for high occupancy toll lane qualification
US7835859B2 (en) * 2004-10-29 2010-11-16 Aol Inc. Determining a route to a destination based on partially completed route
US7831384B2 (en) * 2004-10-29 2010-11-09 Aol Inc. Determining a route to destination based on partially completed route
US7348895B2 (en) * 2004-11-03 2008-03-25 Lagassey Paul J Advanced automobile accident detection, data recordation and reporting system
US7519564B2 (en) * 2004-11-16 2009-04-14 Microsoft Corporation Building and using predictive models of current and future surprises
US8832121B2 (en) 2005-02-02 2014-09-09 Accuweather, Inc. Location-based data communications system and method
US7501947B2 (en) * 2005-05-04 2009-03-10 Tc License, Ltd. RFID tag with small aperture antenna
MX2007014997A (en) * 2005-06-01 2008-04-22 Innosurance Inc Motor vehicle operating data collection and analysis.
US7546206B1 (en) * 2005-06-02 2009-06-09 Wsi, Corporation System and method for suggesting transportation routes
JP4369403B2 (en) 2005-07-05 2009-11-18 株式会社豊田中央研究所 Acceleration feeling evaluation apparatus and vehicle control apparatus
EP2436566B1 (en) * 2005-07-11 2013-04-03 Volvo Technology Corporation Methods and arrangement for performing driver identity verification
US7739036B2 (en) * 2005-08-26 2010-06-15 Gm Global Technology Operations, Inc. Speed limit advisor
CA2621150A1 (en) * 2005-09-02 2007-03-08 Hntb Holdings Ltd System and method for collecting and transporting simulation data
US7783406B2 (en) * 2005-09-22 2010-08-24 Reagan Inventions, Llc System for controlling speed of a vehicle
TWI287514B (en) * 2005-11-03 2007-10-01 Ind Tech Res Inst Inter-vehicle communication and warning apparatus
GB0523512D0 (en) 2005-11-18 2005-12-28 Applied Generics Ltd Enhancing traffic and navigation information with visual and audio data
KR100797394B1 (en) * 2005-12-08 2008-01-28 한국전자통신연구원 Apparatus and Method for Providing Traffic Jam Information for Installing on the Road
JP4463757B2 (en) * 2005-12-09 2010-05-19 株式会社小松製作所 Vehicle travel control device
CN101495955B (en) * 2005-12-12 2013-06-19 特捷通讯公司 Mobile device retrieval and navigation
US8942483B2 (en) 2009-09-14 2015-01-27 Trimble Navigation Limited Image-based georeferencing
US7495550B2 (en) * 2005-12-28 2009-02-24 Palo Alto Research Center Incorporated Method and apparatus for rear-end collision warning and accident mitigation
GB2434346B (en) * 2006-01-18 2011-01-05 Airmax Group Plc Method and system for driver style monitoring and analysing
US7912628B2 (en) * 2006-03-03 2011-03-22 Inrix, Inc. Determining road traffic conditions using data from multiple data sources
US20070208493A1 (en) 2006-03-03 2007-09-06 Inrix, Inc. Identifying unrepresentative road traffic condition data obtained from mobile data sources
ATE409307T1 (en) * 2006-03-31 2008-10-15 Research In Motion Ltd USER INTERFACE METHOD AND APPARATUS FOR CONTROLLING THE VISUAL DISPLAY OF MAPS WITH SELECTABLE MAP ELEMENTS IN MOBILE COMMUNICATION DEVICES
US20080228365A1 (en) * 2006-04-05 2008-09-18 White Steven C Vehicle power inhibiter
US9067565B2 (en) * 2006-05-22 2015-06-30 Inthinc Technology Solutions, Inc. System and method for evaluating driver behavior
JP4342535B2 (en) 2006-07-10 2009-10-14 トヨタ自動車株式会社 Congestion degree creation method, congestion degree creation device
US7908076B2 (en) 2006-08-18 2011-03-15 Inrix, Inc. Representative road traffic flow information based on historical data
US7822546B2 (en) * 2006-09-05 2010-10-26 Garmin Switzerland Gmbh Travel guide and schedule-based routing device and method
JP4842070B2 (en) * 2006-09-25 2011-12-21 アルパイン株式会社 In-vehicle navigation device, search data creation method, and guidance route search method
JP4130847B2 (en) * 2006-09-28 2008-08-06 松下電器産業株式会社 Destination prediction apparatus and method
US8531521B2 (en) * 2006-10-06 2013-09-10 Sightlogix, Inc. Methods and apparatus related to improved surveillance using a smart camera
US7603233B2 (en) * 2006-10-16 2009-10-13 Alpine Electronics, Inc. Map matching method and apparatus for navigation system
US8755991B2 (en) 2007-01-24 2014-06-17 Tomtom Global Assets B.V. Method and structure for vehicular traffic prediction with link interactions and missing real-time data
US20080204277A1 (en) 2007-02-27 2008-08-28 Roy Sumner Adaptive traffic signal phase change system
US7783417B2 (en) * 2007-03-09 2010-08-24 Mitac International Corporation Methods and apparatus for determining a route having an estimated minimum fuel usage for a vehicle
US20080262710A1 (en) * 2007-04-23 2008-10-23 Jing Li Method and system for a traffic management system based on multiple classes
US20080300776A1 (en) 2007-06-01 2008-12-04 Petrisor Gregory C Traffic lane management system
JP4793331B2 (en) * 2007-06-13 2011-10-12 日産自動車株式会社 Control device for vehicle shifting
US20090005964A1 (en) * 2007-06-28 2009-01-01 Apple Inc. Intelligent Route Guidance
US7720844B2 (en) * 2007-07-03 2010-05-18 Vulcan, Inc. Method and system for continuous, dynamic, adaptive searching based on a continuously evolving personal region of interest
US9076331B2 (en) * 2007-07-16 2015-07-07 Crucs Holdings, Llc System and method to monitor vehicles on a roadway and to control driving restrictions of vehicle drivers
US10083607B2 (en) * 2007-09-07 2018-09-25 Green Driver, Inc. Driver safety enhancement using intelligent traffic signals and GPS
US7755509B2 (en) * 2007-09-20 2010-07-13 Traffic.Com, Inc. Use of pattern matching to predict actual traffic conditions of a roadway segment
JP4561802B2 (en) * 2007-10-02 2010-10-13 株式会社デンソー Map display device and program
US8849183B2 (en) * 2007-10-05 2014-09-30 Qualcomm Incorporated Location and time based filtering of broadcast information
FR2929034B1 (en) 2008-03-20 2010-04-16 Armines Ass Pour La Rech Et Le SYSTEM AND METHOD FOR INFORMATION ON TRAFFIC IN A ROAD NETWORK
US20090265105A1 (en) * 2008-04-21 2009-10-22 Igt Real-time navigation devices, systems and methods
US7519472B1 (en) * 2008-05-15 2009-04-14 International Business Machines Corporation Inferring static traffic artifact presence, location, and specifics from aggregated navigation system data
US8762035B2 (en) * 2008-05-19 2014-06-24 Waze Mobile Ltd. System and method for realtime community information exchange
JP4547721B2 (en) * 2008-05-21 2010-09-22 株式会社デンソー Automotive information provision system
JP4733165B2 (en) * 2008-06-30 2011-07-27 株式会社デンソー Vehicle navigation system
US20090322560A1 (en) * 2008-06-30 2009-12-31 General Motors Corporation In-vehicle alert delivery maximizing communications efficiency and subscriber privacy
US10107630B2 (en) * 2008-07-08 2018-10-23 Nuriel Hatav Driver alert system
US20100019932A1 (en) * 2008-07-24 2010-01-28 Tele Atlas North America, Inc. Driver Initiated Vehicle-to-Vehicle Anonymous Warning Device
US20100023265A1 (en) * 2008-07-24 2010-01-28 Gm Global Technology Operations, Inc. Adaptive vehicle control system with integrated driving style recognition
KR101028328B1 (en) * 2008-08-26 2011-04-12 현대자동차주식회사 System for evaluating point of interest and method thereof
US20100057358A1 (en) * 2008-08-28 2010-03-04 TeleType Co., Inc. Portable gps map device for commercial vehicle industry
US8059012B2 (en) * 2008-09-05 2011-11-15 GM Global Technology Operations LLC Reliable packet delivery protocol for geocast protocol in disconnected vehicular ad hoc network
TWI382156B (en) 2008-09-17 2013-01-11 Inventec Appliances Corp Portable navigation device and method
US8009062B2 (en) * 2008-09-22 2011-08-30 Rothschild Leigh M Vehicle traffic flow data acquisition and distribution
US8010285B1 (en) * 2008-09-30 2011-08-30 Denise Jason A Electronic navigation related technology
US8150611B2 (en) * 2008-09-30 2012-04-03 International Business Machines Corporation System and methods for providing predictive traffic information
US20100094543A1 (en) * 2008-10-09 2010-04-15 411 Web Directory Systems And Methods For Providing Geography-Based Tours
US8775070B1 (en) * 2008-10-15 2014-07-08 Intuit Inc. Method and system for user preference-based route calculation
RU2011122657A (en) * 2008-11-06 2012-12-20 Томтом Интернэшнл Б.В. DATA COLLECTION DEVICE, DATA COLLECTION SYSTEM AND DATA COLLECTION METHOD
US8156068B2 (en) * 2008-11-13 2012-04-10 Telecommunication Systems, Inc. Predictive ephemeral points-of-interest (PEPOI)
EP2356640A4 (en) * 2008-11-13 2012-11-14 Aser Rich Ltd System and method for improved vehicle safety through enhanced situation awareness of a driver of a vehicle
US8351912B2 (en) * 2008-12-12 2013-01-08 Research In Motion Limited System and method for providing traffic notifications to mobile devices
US20100153191A1 (en) * 2008-12-17 2010-06-17 International Business Machines Corporation Variable toll fee selection from geographic indicia
US8055427B2 (en) * 2008-12-18 2011-11-08 GM Global Technology Operations LLC Method and apparatus for speed-limit following cruise control
US20100157061A1 (en) 2008-12-24 2010-06-24 Igor Katsman Device and method for handheld device based vehicle monitoring and driver assistance
US8600577B2 (en) * 2008-12-29 2013-12-03 Motorola Mobility Llc Navigation system and methods for generating enhanced search results
WO2010082353A1 (en) 2009-01-19 2010-07-22 トヨタ自動車株式会社 Vehicle control device
US8458177B2 (en) * 2009-02-02 2013-06-04 Yahoo! Inc. Automated search
US8188887B2 (en) * 2009-02-13 2012-05-29 Inthinc Technology Solutions, Inc. System and method for alerting drivers to road conditions
JP5152677B2 (en) * 2009-02-26 2013-02-27 アイシン・エィ・ダブリュ株式会社 Navigation device and navigation program
US8457888B2 (en) * 2009-03-08 2013-06-04 Mitac International Corp. Method for reminding users about future appointments while taking into account traveling time to the appointment location
US8838370B2 (en) * 2009-03-09 2014-09-16 Empire Technology Development Llc Traffic flow model to provide traffic flow information
US8965670B2 (en) 2009-03-27 2015-02-24 Hti Ip, L.L.C. Method and system for automatically selecting and displaying traffic images
CN102575940A (en) * 2009-03-30 2012-07-11 哈曼专业股份有限公司 Predictive search with location-based application
US9154982B2 (en) * 2009-04-02 2015-10-06 Trafficcast International, Inc. Method and system for a traffic management network
CA2761794C (en) * 2009-04-03 2016-06-28 Certusview Technologies, Llc Methods, apparatus, and systems for acquiring and analyzing vehicle data and generating an electronic representation of vehicle operations
US20100262449A1 (en) * 2009-04-09 2010-10-14 Access Mobility, Inc. Context based mobile marketing
US9141087B2 (en) 2009-04-26 2015-09-22 Nike, Inc. Athletic watch
US20100283432A1 (en) * 2009-05-11 2010-11-11 Simon Ellwanger Vehicle Timing Apparatus
WO2010132677A1 (en) * 2009-05-13 2010-11-18 Rutgers, The State University Vehicular information systems and methods
US8325642B1 (en) * 2009-05-14 2012-12-04 Cellco Partnership Redirection of message from mobile station based on identity of mobile station
US8977489B2 (en) * 2009-05-18 2015-03-10 GM Global Technology Operations LLC Turn by turn graphical navigation on full windshield head-up display
US8577543B2 (en) * 2009-05-28 2013-11-05 Intelligent Mechatronic Systems Inc. Communication system with personal information management and remote vehicle monitoring and control features
US9767209B2 (en) * 2009-05-28 2017-09-19 Apple Inc. Search filtering based on expected future time and location
US9086292B2 (en) * 2009-06-26 2015-07-21 Microsoft Technology Licensing, Llc Routing, alerting, and transportation guidance based on preferences and learned or inferred risks and desirabilities
US9552726B2 (en) * 2009-08-24 2017-01-24 Here Global B.V. Providing driving condition alerts using road attribute data
WO2011036855A1 (en) * 2009-09-24 2011-03-31 三菱電機株式会社 Travel pattern generation device
US8340894B2 (en) * 2009-10-08 2012-12-25 Honda Motor Co., Ltd. Method of dynamic intersection mapping
US8433512B1 (en) * 2009-11-12 2013-04-30 Google Inc. Enhanced identification of interesting points-of-interest
JP4992959B2 (en) 2009-11-30 2012-08-08 株式会社デンソー Collision avoidance support device and collision avoidance support program
EP2330562B1 (en) * 2009-12-02 2019-03-13 Telit Automotive Solutions NV Smart road-toll-system
US8396663B2 (en) * 2009-12-15 2013-03-12 Navteq B.V. Speed profile dictionary
US8510045B2 (en) * 2009-12-22 2013-08-13 Steven L. Rueben Digital maps displaying search-resulting points-of-interest in user delimited regions
ATE549711T1 (en) * 2009-12-29 2012-03-15 Research In Motion Ltd SYSTEM AND METHOD FOR SENDING AN ARRIVAL ESTIMATE
US8433505B2 (en) * 2009-12-29 2013-04-30 Research In Motion Limited System and method for faster detection of traffic jams
EP3467439B1 (en) * 2009-12-29 2020-12-09 BlackBerry Limited System and method of automatic destination selection
US8532920B2 (en) * 2010-01-22 2013-09-10 Blackberry Limited Automatic origin determination for faster route request initiation and resulting system response time
DE102011003993A1 (en) * 2010-02-15 2011-08-18 DENSO CORPORATION, Aichi-pref. Charge controller and navigation device for a plug-in vehicle
BR112012022906A2 (en) * 2010-03-11 2019-09-24 Inrix Inc road learning navigation routes based on aggregate driver behavior
DE102010011497A1 (en) * 2010-03-16 2011-09-22 GM Global Technology Operations LLC , (n. d. Ges. d. Staates Delaware) Method for avoiding or mitigating a collision, control device for a driver assistance system and vehicle
DE102010014076A1 (en) * 2010-04-07 2011-10-13 Gm Global Technology Operations Llc (N.D.Ges.D. Staates Delaware) Method for adapting a driving behavior of a vehicle when changing drivers
US20110301835A1 (en) * 2010-06-07 2011-12-08 James Bongiorno Portable vacation/travel planner, and family tour guide device
US8645061B2 (en) * 2010-06-16 2014-02-04 Microsoft Corporation Probabilistic map matching from a plurality of observational and contextual factors
US9047778B1 (en) * 2010-06-25 2015-06-02 Cellco Partnership Collision avoidance system using telematics unit
ES2765012T3 (en) * 2010-08-23 2020-06-05 Status Tech Pty Ltd A vehicle security information and alert system
US20120065834A1 (en) * 2010-09-10 2012-03-15 Accenture Global Services Limited Driving management system and method
US8738283B2 (en) * 2010-09-24 2014-05-27 Telenav, Inc. Navigation system with parking lot integrated routing mechanism and method of operation thereof
DE102010041544B4 (en) * 2010-09-28 2023-05-04 Bayerische Motoren Werke Aktiengesellschaft Driver assistance system to support the driver in consumption-controlled driving
US8509982B2 (en) * 2010-10-05 2013-08-13 Google Inc. Zone driving
US8238872B2 (en) * 2010-10-18 2012-08-07 GM Global Technology Operations LLC Vehicle data management system and method
US8552886B2 (en) * 2010-11-24 2013-10-08 Bcs Business Consulting Services Pte Ltd. Crash warning system for motor vehicles
EP2469231A1 (en) * 2010-12-22 2012-06-27 Sony Ericsson Mobile Communications AB Method and arrangement relating to navigation
CN102073846B (en) * 2010-12-15 2013-06-05 同济大学 Method for acquiring traffic information based on aerial images
US9134137B2 (en) * 2010-12-17 2015-09-15 Microsoft Technology Licensing, Llc Mobile search based on predicted location
US20130282264A1 (en) * 2010-12-31 2013-10-24 Edwin Bastiaensen Systems and methods for obtaining and using traffic flow information
DE102011000409A1 (en) * 2011-01-31 2012-08-02 Dr. Ing. H.C. F. Porsche Aktiengesellschaft Method for evaluating driving dynamic characteristic of driving profile adapted to motor vehicle, involves performing road test with test persons, which performs road test with given driving style
US20120215594A1 (en) * 2011-02-18 2012-08-23 Amtech Systems, LLC System and method for gps lane and toll determination and asset position matching
US8660864B2 (en) * 2011-02-28 2014-02-25 Hartford Fire Insurance Company Systems and methods for intelligent underwriting based on community or social network data
US9221428B2 (en) * 2011-03-02 2015-12-29 Automatic Labs Inc. Driver identification system and methods
JP2012226392A (en) 2011-04-14 2012-11-15 Honda Elesys Co Ltd Drive support system
US9229905B1 (en) * 2011-04-22 2016-01-05 Angel A. Penilla Methods and systems for defining vehicle user profiles and managing user profiles via cloud systems and applying learned settings to user profiles
WO2012146475A2 (en) * 2011-04-27 2012-11-01 Robert Bosch Gmbh Vehicle navigation system - maximum toll limit
US20140074356A1 (en) 2011-05-20 2014-03-13 Honda Motor Co., Ltd. Lane change assist system
US8521407B2 (en) * 2011-06-10 2013-08-27 GM Global Technology Operations LLC System and method for ensuring a person reaches a destination on time
US8788113B2 (en) 2011-06-13 2014-07-22 Ford Global Technologies, Llc Vehicle driver advisory system and method
US8996304B2 (en) * 2011-06-29 2015-03-31 Intel Corporation Customized travel route system
US20110307188A1 (en) * 2011-06-29 2011-12-15 State Farm Insurance Systems and methods for providing driver feedback using a handheld mobile device
US8949212B1 (en) * 2011-07-08 2015-02-03 Hariharan Dhandapani Location-based informaton display
US8740165B2 (en) * 2011-07-22 2014-06-03 Larry O'Kasick Point-of-sale organizer
US20130024309A1 (en) 2011-07-24 2013-01-24 Tuomas Sandholm Barter chains
WO2013016719A1 (en) * 2011-07-28 2013-01-31 School Improvement Network, Llc Management and provision of interactive content
EP2738750A4 (en) * 2011-07-29 2015-06-03 Nec Corp Traffic control system, congestion control method, information processing apparatus, and control method and storage medium therefor
JP5741310B2 (en) * 2011-08-10 2015-07-01 富士通株式会社 Train length measuring device, train length measuring method, and train length measuring computer program
US9361271B2 (en) * 2011-09-27 2016-06-07 Wipro Limited Systems and methods to enable eco-driving
US8874367B2 (en) * 2011-10-14 2014-10-28 Equilateral Technologies, Inc. Method for estimating and displaying range of a vehicle
US20130110633A1 (en) * 2011-11-02 2013-05-02 Digital Footsteps, Ltd. Adaptive presentation of guided tour information on mobile client terminal(s)
US20130132434A1 (en) * 2011-11-22 2013-05-23 Inrix, Inc. User-assisted identification of location conditions
US8892355B2 (en) * 2011-12-21 2014-11-18 Telenav, Inc. Navigation system with point of interest validation mechanism and method of operation thereof
US8412413B1 (en) * 2011-12-21 2013-04-02 Delphi Technologies, Inc. Vehicle windshield display with obstruction detection
US20120109508A1 (en) 2011-12-28 2012-05-03 Ariel Inventions, Llc Method and system for route navigation based on energy efficiency
US8855925B2 (en) * 2012-01-20 2014-10-07 GM Global Technology Operations LLC Adaptable navigation device
US8750618B2 (en) * 2012-01-31 2014-06-10 Taif University Method for coding images with shape and detail information
US8635018B2 (en) * 2012-02-03 2014-01-21 International Business Machines Corporation Managing a driver profile
US9381916B1 (en) * 2012-02-06 2016-07-05 Google Inc. System and method for predicting behaviors of detected objects through environment representation
US20130218604A1 (en) * 2012-02-21 2013-08-22 Elwha Llc Systems and methods for insurance based upon monitored characteristics of a collision detection system
US20130219307A1 (en) * 2012-02-21 2013-08-22 Artisan Mobile, Inc. System and method for runtime user interface management
US8843158B2 (en) * 2012-02-22 2014-09-23 Apple Inc. Delivering content by predicting predetermined routes using wireless networks
JP2013171491A (en) * 2012-02-22 2013-09-02 Nippon Expressway Research Institute Co Ltd Traffic estimation system using single image
US10311651B2 (en) * 2012-02-29 2019-06-04 Conduent Business Services, Llc Method and system for providing dynamic pricing algorithm with embedded controller for high occupancy toll lanes
US8788121B2 (en) 2012-03-09 2014-07-22 Proxy Technologies, Inc. Autonomous vehicle and method for coordinating the paths of multiple autonomous vehicles
US9200918B2 (en) * 2012-03-09 2015-12-01 Apple Inc. Intelligent destination recommendations based on historical data
WO2014172380A1 (en) * 2013-04-15 2014-10-23 Flextronics Ap, Llc Altered map routes based on user profile information
KR101860540B1 (en) * 2012-04-26 2018-05-23 한국전자통신연구원 Portable terminal and method for sharing location information between users
DE102012207859A1 (en) * 2012-05-11 2013-11-14 Robert Bosch Gmbh Method for creating a driving profile
JPWO2013171898A1 (en) * 2012-05-18 2016-01-07 トヨタ自動車株式会社 Vehicle information display device
US8731768B2 (en) * 2012-05-22 2014-05-20 Hartford Fire Insurance Company System and method to provide telematics data on a map display
US8972318B2 (en) * 2012-05-31 2015-03-03 Qualcomm Incorporated Predicting user behavior using feedback on previously run predictive searches
US9430941B2 (en) * 2012-06-10 2016-08-30 Apple Inc. Harvesting traffic information from mobile devices
US20130338914A1 (en) * 2012-06-14 2013-12-19 Wavemarket Inc. System and method for notifying vehicle driver of localized driving conditions
US9053632B2 (en) * 2012-06-29 2015-06-09 International Business Machines Corporation Real-time traffic prediction and/or estimation using GPS data with low sampling rates
CN102855759B (en) * 2012-07-05 2014-04-09 中国科学院遥感应用研究所 Automatic collecting method of high-resolution satellite remote sensing traffic flow information
US9157748B2 (en) * 2012-07-31 2015-10-13 Flatiron Apps LLC System and method for hailing taxicabs
US20150258996A1 (en) * 2012-09-17 2015-09-17 Volvo Lastvagnar Ab Method for providing a context based coaching message to a driver of a vehicle
US9110196B2 (en) * 2012-09-20 2015-08-18 Google, Inc. Detecting road weather conditions
US20140085106A1 (en) * 2012-09-21 2014-03-27 Checkers Industrial Products, Llc Vehicle proximity warning system and methods
SE537958C2 (en) * 2012-09-24 2015-12-08 Scania Cv Ab Procedure, measuring device and control unit for adapting vehicle train control
US9037519B2 (en) 2012-10-18 2015-05-19 Enjoyor Company Limited Urban traffic state detection based on support vector machine and multilayer perceptron
CN202944628U (en) * 2012-10-19 2013-05-22 王克远 Double zipper transparent storage box
DE102012219927A1 (en) * 2012-10-31 2014-04-30 Bayerische Motoren Werke Aktiengesellschaft Vehicle assistance device
US9208684B2 (en) * 2012-11-01 2015-12-08 Verizon Patent And Licensing Inc. Travel optimization system
US9950708B1 (en) * 2012-11-02 2018-04-24 Waymo Llc Adaptation of autonomous driving behaviour based on occupant presence and position
US10088316B2 (en) * 2012-11-28 2018-10-02 Toyota Motor Engineering & Manufacturing North America, Inc. Navigation systems and vehicles for predicting routes
US20140172294A1 (en) * 2012-12-14 2014-06-19 Magnasoft Consulting India Pvt. Ltd Method and system for predicting expected time of arrival of objects
US8892359B2 (en) * 2013-01-11 2014-11-18 Toyota Motor Engineering & Manufacturing North America, Inc. Systems and methods for estimating time of arrival for vehicle navigation
US9439036B2 (en) * 2013-01-25 2016-09-06 Visa International Service Association Systems and methods to select locations of interest based on distance from route points or route paths
WO2014160027A1 (en) * 2013-03-13 2014-10-02 Image Sensing Systems, Inc. Roadway sensing systems
US9082014B2 (en) * 2013-03-14 2015-07-14 The Nielsen Company (Us), Llc Methods and apparatus to estimate demography based on aerial images
KR101751163B1 (en) * 2013-03-15 2017-06-26 폭스바겐 악티엔 게젤샤프트 System for determining a route of vehicle and the method thereof
US9751534B2 (en) * 2013-03-15 2017-09-05 Honda Motor Co., Ltd. System and method for responding to driver state
US9631930B2 (en) * 2013-03-15 2017-04-25 Apple Inc. Warning for frequently traveled trips based on traffic
US10655979B2 (en) * 2013-06-08 2020-05-19 Apple Inc. User interface for displaying predicted destinations
US20140316958A1 (en) * 2013-04-17 2014-10-23 Green Edge Technologies, Inc. Systems, devices, and methods for energy account management
US9454905B2 (en) * 2013-04-29 2016-09-27 Global Foundries Inc. Safe distance determination
DE102013210941A1 (en) * 2013-06-12 2014-12-18 Robert Bosch Gmbh Method and device for operating a vehicle
US20150014901A1 (en) * 2013-07-09 2015-01-15 NOVA LEATHER ENTERPRISES Co. LTD. Method for manufacturing non-sewing three-dimensional fabric capable of polychrome printing
US9111453B1 (en) * 2013-08-01 2015-08-18 Mohammad A. Alselimi Traffic management server and a traffic recording apparatus
US9211891B2 (en) * 2013-08-02 2015-12-15 Inrix Inc. Personalized vehicle driving suggestions
US9175970B2 (en) * 2013-08-02 2015-11-03 Cummins Inc. Online optimal refueling management
US9607511B2 (en) * 2013-10-08 2017-03-28 Nec Corporation Vehicle guidance system, vehicle guidance method, management device, and control method for same
US9232119B2 (en) * 2013-10-08 2016-01-05 Raytheon Company Integrating image frames
US9435660B2 (en) * 2013-10-16 2016-09-06 Mapquest, Inc. Systems and methods for initiating mapping exit routines and rating highway exits
WO2015060863A1 (en) * 2013-10-25 2015-04-30 Intel Corporation Navigation guidance including provision of stops
US9183743B2 (en) * 2013-10-31 2015-11-10 Bayerische Motoren Werke Aktiengesellschaft Systems and methods for estimating traffic signal information
US9485543B2 (en) * 2013-11-12 2016-11-01 Google Inc. Methods, systems, and media for presenting suggestions of media content
US9517771B2 (en) * 2013-11-22 2016-12-13 Ford Global Technologies, Llc Autonomous vehicle modes
DE112013007677T5 (en) * 2013-12-10 2016-09-08 Mitsubishi Electric Corporation Driving control device
KR20150068218A (en) * 2013-12-11 2015-06-19 경북대학교 산학협력단 Vehicular Navigation System
CN105705395B (en) * 2013-12-11 2019-01-11 英特尔公司 Individual drives the area of computer aided or autonomous driving for the vehicle that preference adapts to
US9251630B2 (en) * 2013-12-17 2016-02-02 At&T Intellectual Property I, L.P. Method, computer-readable storage device and apparatus for exchanging vehicle information
US20150199664A1 (en) * 2014-01-15 2015-07-16 Mastercard International Incorporated Methods, systems, and computer readable media for facilitating access to transportation services
US9230435B2 (en) * 2014-01-28 2016-01-05 Hti Ip, Llc Driver controllable traffic signal
US20150228129A1 (en) * 2014-02-10 2015-08-13 Metromile, Inc. System and method for profiling vehicle usage
JP6298322B2 (en) * 2014-02-27 2018-03-20 株式会社ゼンリン Route search device, route search method and program
US9539999B2 (en) * 2014-02-28 2017-01-10 Ford Global Technologies, Llc Vehicle operator monitoring and operations adjustments
US10692370B2 (en) * 2014-03-03 2020-06-23 Inrix, Inc. Traffic obstruction detection
US9605606B2 (en) * 2014-03-31 2017-03-28 Toyota Motor Engineering & Manufacturing North America, Inc. System and method for improving energy efficiency of a vehicle based on determined relationships between a plurality of routes
EP3078014B1 (en) * 2014-06-04 2018-12-12 Cuende Infometrics S.A. System and method for measuring the real traffic flow of an area
US9779623B2 (en) * 2014-07-02 2017-10-03 Lenovo Enterprise Solutions (Singapore) Pte. Ltd. Communication of alerts to vehicles based on vehicle movement
JP2016033501A (en) * 2014-07-31 2016-03-10 トヨタ自動車株式会社 Vehicle information provision device
US20160061617A1 (en) * 2014-09-02 2016-03-03 Microsoft Corporation Providing in-navigation search results that reduce route disruption
US10140785B1 (en) * 2014-09-02 2018-11-27 Metromile, Inc. Systems and methods for determining fuel information of a vehicle
US9997077B2 (en) * 2014-09-04 2018-06-12 Honda Motor Co., Ltd. Vehicle operation assistance
WO2016035214A1 (en) * 2014-09-05 2016-03-10 横浜ゴム株式会社 Collision avoidance system and collision avoidance method
US20160123752A1 (en) * 2014-10-30 2016-05-05 Microsoft Corporation Estimating and predicting fuel usage with smartphone
DE102015105581A1 (en) * 2014-11-03 2016-05-04 Audi Ag System and method for monitoring the health and / or health of a vehicle occupant
US20160147416A1 (en) * 2014-11-21 2016-05-26 Here Global B.V. Method and apparatus for determining a representation of a point of interest based on user experience
WO2016086139A1 (en) * 2014-11-26 2016-06-02 Ispd, Inc. System and method for traffic decongestion
US10175054B2 (en) * 2015-01-11 2019-01-08 Microsoft Technology Licensing, Llc Predicting and utilizing variability of travel times in mapping services
US9435657B2 (en) * 2015-01-14 2016-09-06 Telenav, Inc. Navigation system with an itinerary planning mechanism and method of operation thereof
US20160209219A1 (en) * 2015-01-15 2016-07-21 Applied Telemetrics Holdings Inc. Method of autonomous lane identification for a multilane vehicle roadway
US9836062B1 (en) * 2015-01-20 2017-12-05 State Farm Mutual Automobile Insurance Company Analyzing telematics data to determine travel events and corrective actions
US9537971B2 (en) * 2015-01-29 2017-01-03 Huawei Technologies Co., Ltd. Systems, devices and methods for distributed content pre-fetching in mobile communication networks
US10083494B2 (en) * 2015-01-30 2018-09-25 Huawei Technologies Co., Ltd. Systems, devices and methods for distributed content pre-fetching to a user device
US9672759B2 (en) * 2015-05-11 2017-06-06 Here Global B.V. Probe based identification and validation of roundabout junctions
US10097973B2 (en) * 2015-05-27 2018-10-09 Apple Inc. Systems and methods for proactively identifying and surfacing relevant content on a touch-sensitive device
US9638542B2 (en) * 2015-05-28 2017-05-02 Alpine Electronics, Inc. Method and system of route scheduling and presenting route-based fuel information
US9959339B2 (en) * 2015-07-13 2018-05-01 International Business Machines Corporation Journey time estimation
US9803992B2 (en) * 2015-10-09 2017-10-31 At&T Mobility Ii Llc Suspending voice guidance during route navigation
US9908468B2 (en) * 2016-01-12 2018-03-06 Toyota Motor Engineering & Manufacturing North America, Inc. Apparatus and method for providing an extended forward collision warning
US10525848B2 (en) * 2016-08-02 2020-01-07 Here Global B.V. Vehicle charging lanes
US10332039B2 (en) * 2016-08-17 2019-06-25 International Business Machines Corporation Intelligent travel planning
US9921070B1 (en) * 2016-09-22 2018-03-20 Trimble Inc. System for planning trips with estimated time of arrival (ETA) and projected time of availability (PTA) calculated for each stop
US10958742B2 (en) * 2017-02-16 2021-03-23 International Business Machines Corporation Cognitive content filtering
JP6763317B2 (en) * 2017-02-22 2020-09-30 トヨタ自動車株式会社 Fuel cell vehicle and its control method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120109521A1 (en) * 2010-10-27 2012-05-03 Reagan Inventions, Llc System and method of integrating lane position monitoring with locational information systems
US20130275033A1 (en) * 2010-12-31 2013-10-17 Edwin Bastiaensen Navigation methods and systems
US20130151145A1 (en) * 2011-12-13 2013-06-13 Ken Ishikawa Display system, display method, and display program
US20130204520A1 (en) * 2012-02-07 2013-08-08 Denso Corporation Vehicle navigation system
US20130278441A1 (en) * 2012-04-24 2013-10-24 Zetta Research and Development, LLC - ForC Series Vehicle proxying
US9243925B2 (en) * 2013-08-27 2016-01-26 Google Inc. Generating a sequence of lane-specific driving directions
US20150098621A1 (en) * 2013-10-09 2015-04-09 Xerox Corporation Video based method and system for automated side-by-side traffic load balancing

Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10025996B2 (en) * 2014-12-22 2018-07-17 Volkswagen Ag Early detection of exit only and shared lanes using perception technology
US10152638B2 (en) 2014-12-22 2018-12-11 Volkswagen Ag Early detection of exit only and shared lanes using perception technology
US20160176341A1 (en) * 2014-12-22 2016-06-23 Volkswagen Ag Early detection of exit only and shared lanes using perception technology
US10474147B2 (en) * 2015-07-20 2019-11-12 Lg Electronics Inc. Autonomous vehicle
US10514698B2 (en) * 2015-07-27 2019-12-24 Nissan Motor Co., Ltd. Route guidance device and route guidance method
US20180217604A1 (en) * 2015-07-27 2018-08-02 Nissan Motor Co., Ltd. Route Guidance Device and Route Guidance Method
US10691958B1 (en) * 2015-07-30 2020-06-23 Ambarella International Lp Per-lane traffic data collection and/or navigation
US20170193384A1 (en) * 2016-01-06 2017-07-06 GM Global Technology Operations LLC Determining driver intention at traffic intersections for automotive crash avoidance
US10479373B2 (en) * 2016-01-06 2019-11-19 GM Global Technology Operations LLC Determining driver intention at traffic intersections for automotive crash avoidance
CN109323700A (en) * 2017-07-31 2019-02-12 慧与发展有限责任合伙企业 Determine automobile position
US10380889B2 (en) * 2017-07-31 2019-08-13 Hewlett Packard Enterprise Development Lp Determining car positions
US11193780B2 (en) 2017-09-19 2021-12-07 Continental Automotive Systems, Inc. Vehicle safety system and method for providing a recommended path
CN110009902A (en) * 2017-12-18 2019-07-12 丰田自动车株式会社 Server apparatus and congestion recognition methods
US11227487B2 (en) * 2017-12-18 2022-01-18 Toyota Jidosha Kabushiki Kaisha Server device and congestion identification method
US12017648B2 (en) * 2018-05-15 2024-06-25 Hitachi Astemo, Ltd. Vehicle control device
US20210188264A1 (en) * 2018-05-15 2021-06-24 Hitachi Automotive Systems, Ltd. Vehicle control device
WO2018167749A3 (en) * 2018-06-13 2019-04-11 Universidad Técnica Particular De Loja System and method for preventing accidents caused by the presence of objects on transport routes resulting from natural phenomena
US11433917B2 (en) * 2018-12-28 2022-09-06 Continental Autonomous Mobility US, LLC System and method of human interface for recommended path
US20200250974A1 (en) * 2019-01-31 2020-08-06 StradVision, Inc. Method and device for detecting emergency vehicles in real time and planning driving routes to cope with situations to be expected to be occurred by the emergency vehicles
US10796571B2 (en) * 2019-01-31 2020-10-06 StradVision, Inc. Method and device for detecting emergency vehicles in real time and planning driving routes to cope with situations to be expected to be occurred by the emergency vehicles
US11807260B2 (en) 2019-02-26 2023-11-07 Volkswagen Aktiengesellschaft Method for operating a driver information system in an ego-vehicle and driver information system
US11762616B2 (en) * 2019-02-26 2023-09-19 Volkswagen Aktiengesellschaft Method for operating a driver information system in an ego-vehicle and driver information system
US20220171590A1 (en) * 2019-02-26 2022-06-02 Volkswagen Aktiengesellschaft Method for Operating a Driver Information System in an Ego-Vehicle and Driver Information System
US11501637B2 (en) * 2019-10-04 2022-11-15 Here Global B.V. Method, apparatus, and system for detecting lane-level slowdown events
US11545035B2 (en) * 2019-11-15 2023-01-03 Toyota Motor Engineering & Manufacturing North America, Inc. Driver notification system
US11781881B2 (en) 2019-12-12 2023-10-10 Toyota Motor Engineering & Manufacturing North America, Inc. Methods and apparatus of vehicle guidance
US11915115B2 (en) 2019-12-31 2024-02-27 Google Llc Lane selection using machine learning
US11984023B2 (en) * 2020-01-26 2024-05-14 Roderick Allen McConnell Traffic disturbances
CN113386752A (en) * 2020-03-13 2021-09-14 通用汽车环球科技运作有限责任公司 Method and device for determining an optimal cruising lane in a driver assistance system
US11433897B2 (en) * 2020-03-13 2022-09-06 GM Global Technology Operations LLC Method and apparatus for determination of optimal cruising lane in an assisted driving system
EP4141836A4 (en) * 2020-04-24 2024-05-22 JRD Communication (Shenzhen) Ltd Vehicle driving control method, storage medium and terminal
CN112158201A (en) * 2020-10-12 2021-01-01 北京信息职业技术学院 Intelligent driving vehicle transverse control method and system
EP4227924A4 (en) * 2020-10-14 2023-12-06 UISEE (Shanghai) Automotive Technologies Ltd. Traffic congestion sensing method and apparatus, electronic device and storage medium
US11794580B2 (en) * 2020-10-19 2023-10-24 Toyota Jidosha Kabushiki Kaisha Display device for displaying preceding vehicle information and display method
US20220118850A1 (en) * 2020-10-19 2022-04-21 Toyota Jidosha Kabushiki Kaisha Display device and display method
US11776397B2 (en) * 2022-02-03 2023-10-03 Toyota Motor North America, Inc. Emergency notifications for transports

Also Published As

Publication number Publication date
WO2015134386A3 (en) 2015-11-19
EP4101716B1 (en) 2024-04-24
EP3114000A1 (en) 2017-01-11
WO2015134386A2 (en) 2015-09-11
EP3114434A4 (en) 2018-06-13
WO2015134428A1 (en) 2015-09-11
US11292476B2 (en) 2022-04-05
WO2015134410A1 (en) 2015-09-11
EP3114668A4 (en) 2018-03-14
EP3114665A1 (en) 2017-01-11
US9940836B2 (en) 2018-04-10
EP3114000A4 (en) 2018-04-25
WO2015134311A1 (en) 2015-09-11
EP3114559A4 (en) 2018-01-03
EP3114574A4 (en) 2018-03-07
EP3114665A4 (en) 2018-03-14
WO2015134425A1 (en) 2015-09-11
US20170076227A1 (en) 2017-03-16
EP3114666A1 (en) 2017-01-11
EP3114669A4 (en) 2018-03-14
EP3113999A4 (en) 2018-01-17
EP3114575A4 (en) 2017-12-06
EP3114667A4 (en) 2017-12-06
EP3114575A1 (en) 2017-01-11
US20170076509A1 (en) 2017-03-16
WO2015134444A1 (en) 2015-09-11
US20170076395A1 (en) 2017-03-16
US20190340926A1 (en) 2019-11-07
US20200250976A1 (en) 2020-08-06
US20200143677A1 (en) 2020-05-07
US10417910B2 (en) 2019-09-17
US20170069205A1 (en) 2017-03-09
EP3113998A4 (en) 2018-03-14
US10529231B2 (en) 2020-01-07
EP3114668B1 (en) 2022-11-09
US20170015318A1 (en) 2017-01-19
WO2015134417A1 (en) 2015-09-11
US11634143B2 (en) 2023-04-25
US20170069201A1 (en) 2017-03-09
WO2015134421A1 (en) 2015-09-11
US20170287327A1 (en) 2017-10-05
US20170069001A1 (en) 2017-03-09
EP3114669A1 (en) 2017-01-11
EP3114667A2 (en) 2017-01-11
US20170076596A1 (en) 2017-03-16
EP3114434A1 (en) 2017-01-11
WO2015134339A8 (en) 2016-04-14
US20170084175A1 (en) 2017-03-23
US10692370B2 (en) 2020-06-23
US20170076600A1 (en) 2017-03-16
WO2015134453A1 (en) 2015-09-11
EP3114663A1 (en) 2017-01-11
EP3114663A4 (en) 2018-03-14
EP4101716A1 (en) 2022-12-14
EP3114664A1 (en) 2017-01-11
US20170076594A1 (en) 2017-03-16
US20170219373A1 (en) 2017-08-03
EP3114668A1 (en) 2017-01-11
US10062280B2 (en) 2018-08-28
WO2015134372A1 (en) 2015-09-11
EP3114664A4 (en) 2017-12-06
EP3114662A1 (en) 2017-01-11
US20200013284A1 (en) 2020-01-09
US20200317200A1 (en) 2020-10-08
EP3114666A4 (en) 2017-12-06
EP3114632A4 (en) 2017-12-06
EP3114662A4 (en) 2017-12-13
EP3114574A1 (en) 2017-01-11
US10354527B2 (en) 2019-07-16
US20170068245A1 (en) 2017-03-09
EP3113998A1 (en) 2017-01-11
US10803747B2 (en) 2020-10-13
US9685078B2 (en) 2017-06-20
US20170032673A1 (en) 2017-02-02
EP3114559A1 (en) 2017-01-11
WO2015134462A1 (en) 2015-09-11
WO2015134542A1 (en) 2015-09-11
EP3114632A1 (en) 2017-01-11
WO2015134339A1 (en) 2015-09-11
EP3113999A1 (en) 2017-01-11
WO2015134476A1 (en) 2015-09-11
US10629075B2 (en) 2020-04-21
US20170070616A1 (en) 2017-03-09
WO2015134376A1 (en) 2015-09-11
WO2015134434A1 (en) 2015-09-11
US10319232B2 (en) 2019-06-11

Similar Documents

Publication Publication Date Title
US20170076598A1 (en) Driving lane change suggestions
US11821740B2 (en) Route generation using road lane line quality
US10690507B2 (en) Network based storage of vehicle and infrastructure data for optimizing vehicle routing
US9601009B2 (en) Traffic causality
GB2561966A (en) Assisting drivers with roadway lane changes
US11807263B2 (en) Dynamic route information interface
US20210191394A1 (en) Systems and methods for presenting curated autonomy-system information of a vehicle
US11587434B2 (en) Intelligent vehicle pass-by information sharing
US20180203457A1 (en) System and Method for Avoiding Interference with a Bus
CN111919211A (en) Turn path visualization for improved spatial and situational awareness in turn maneuvers
JP7362733B2 (en) Automated crowdsourcing of road environment information
CN114255606A (en) Auxiliary driving reminding method and device, map auxiliary driving reminding method and device and map
US10745010B2 (en) Detecting anomalous vehicle behavior through automatic voting
JP2017033403A (en) Driving support apparatus
CN115265537A (en) Navigation system with traffic state detection mechanism and method of operation thereof
US11662746B2 (en) System, method, and computer program product for generating maneuver data for a vehicle
EP4389551A1 (en) A computer-implemented method for managing an operational design domain s expansion for an automated driving system
JP6962685B2 (en) Information display device and relay device

Legal Events

Date Code Title Description
STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION