EP3899904A1 - Data memory, computer unit and method for executing a function of a vehicle - Google Patents
Data memory, computer unit and method for executing a function of a vehicleInfo
- Publication number
- EP3899904A1 EP3899904A1 EP19835395.5A EP19835395A EP3899904A1 EP 3899904 A1 EP3899904 A1 EP 3899904A1 EP 19835395 A EP19835395 A EP 19835395A EP 3899904 A1 EP3899904 A1 EP 3899904A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- values
- vehicle
- information
- data memory
- function
- 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.)
- Pending
Links
- 230000006870 function Effects 0.000 title claims abstract description 55
- 230000015654 memory Effects 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000009826 distribution Methods 0.000 claims abstract description 53
- 238000005265 energy consumption Methods 0.000 claims description 13
- 230000001133 acceleration Effects 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 description 4
- 238000013500 data storage Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/133—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams within the vehicle ; Indicators inside the vehicles or at stops
- G08G1/137—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams within the vehicle ; Indicators inside the vehicles or at stops the indicator being in the form of a map
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W30/00—Purposes 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
- B60W30/18—Propelling the vehicle
- B60W30/18009—Propelling the vehicle related to particular drive situations
- B60W30/18154—Approaching an intersection
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W30/00—Purposes 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
- B60W30/14—Adaptive cruise control
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W40/00—Estimation 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
- B60W40/02—Estimation 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
- B60W40/04—Traffic conditions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3446—Details of route searching algorithms, e.g. Dijkstra, A*, arc-flags, using precalculated routes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3469—Fuel consumption; Energy use; Emission aspects
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0604—Improving or facilitating administration, e.g. storage management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0655—Vertical data movement, i.e. input-output transfer; data movement between one or more hosts and one or more storage devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/0671—In-line storage system
- G06F3/0673—Single storage device
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/091—Traffic information broadcasting
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2520/00—Input parameters relating to overall vehicle dynamics
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2530/00—Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2556/00—Input parameters relating to data
- B60W2556/05—Big data
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2556/00—Input parameters relating to data
- B60W2556/10—Historical data
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
- B60W2556/50—External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2720/00—Output or target parameters relating to overall vehicle dynamics
- B60W2720/10—Longitudinal speed
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/095—Traffic lights
Definitions
- the invention relates to a data memory, a computing unit and a method for executing a function of a vehicle.
- the object of the invention is to provide an improved data memory, an improved computing unit and an improved method for performing a function of a vehicle.
- a data memory for a computing unit is proposed, in which
- Data storage for predetermined location areas of a digital map several values of information are stored.
- the values of the information are provided to be carried out by the computing unit when performing a function
- the values of the information are in the form of a
- the data memory can, for example, be integrated in a computing unit of a vehicle or be present in the vehicle and be connected to a computing unit of the vehicle.
- the data memory can also be arranged as an external data memory stationary outside the vehicle.
- a location area of a digital map can include, for example, a predetermined area of the digital map or a section of at least one street or at least one geographical point of a street.
- Information can represent, for example, a parameter of a movement of vehicles on a street or a parameter of an operating function of a vehicle, for example an energy consumption of vehicles in a local area.
- information can represent a speed of vehicles, a positive or negative acceleration of vehicles and / or an energy consumption of vehicles in the local area.
- a plurality of values of speeds can be assigned to a location area of the digital map for the information on the speed of vehicles.
- the values of the speeds are the values of the
- the values of the information from vehicles that have traveled on the roads can be determined.
- the values of the information thus represent statistical empirical values.
- the values of the information can be recorded and provided by the vehicles themselves or by external ones
- Measuring devices are measured and / or estimated.
- Values for parameters of the movement of the vehicles or values for parameters of an operating function of a vehicle for example an energy consumption corresponding to the location positions of the vehicles on the roads, can thus be collected and stored as values of information in a digital map in a location-related manner in relation to location areas of the digital map.
- a parameter of a movement of the vehicle or a parameter of an operating state of a vehicle is information.
- the computing unit can be designed, for example, as a computing unit of a vehicle, in particular as a control unit of a vehicle.
- a Function of the vehicle includes, for example, driver information for outputting information to a driver of the vehicle over a route traveled.
- a function of a vehicle can be a function for
- the function of the vehicle can include a control function of an at least partially autonomous vehicle.
- the function can represent a steering function, braking function or an acceleration function of the vehicle.
- a defined value that is to say an expected value of the information and a distribution of the values around the expected value, are stored instead of a multiplicity of values for information.
- the distribution of the values can be defined in the form of a distribution curve or in the form of a distribution rule. In this way, a large number of values for information with an expected value and a distribution of the values can be stored in the data memory with little storage effort.
- a normal distribution with a standard deviation can be used as the distribution of the values around the expected value.
- a sufficiently precise description of the size of the values of the information can thus be stored for a plurality of values of information.
- the expected value is a
- Expected value range and / or a distribution range, in particular a variance, is provided as the distribution of the values. This can further simplify the stored data.
- the information represents a parameter of a traffic control.
- a time duration of a red phase, a duration of a green phase and / or a duration of a yellow phase of a location area of a digital map, in particular a location area of a digital map, before a position can be used as a parameter of a traffic control be assigned to a traffic light system on the digital map.
- the time periods of a red phase, a green phase and / or a yellow phase can be determined depending on the distance to the traffic light and one corresponding to the position of the vehicles on the real road corresponding location of the digital street to be assigned to the digital map.
- This information can be taken into account, for example, in driver information, route planning and / or in a function for at least partially autonomous driving of a vehicle.
- a computing unit for a vehicle which is designed to take into account values of information from the data memory when executing a function of the vehicle.
- the function can be a
- the control function can represent, for example, longitudinal guidance and / or transverse guidance of the vehicle.
- a longitudinal guide means an acceleration of the vehicle or a braking of the vehicle.
- Transverse guidance of the vehicle is understood to mean influencing the lateral direction of travel of the vehicle.
- values of information relating to predetermined location areas of a digital map being taken into account when executing the function.
- the values of the information are stored in the form of an expected value and a distribution of the values of the information around the expected value.
- the distribution of the values is a normal distribution with a standard deviation.
- the computing unit is designed to generate a
- the computing unit is designed to generate a
- 1 is a schematic representation of a vehicle on a street in front of a traffic light
- 2 shows a schematic representation of a digital map with predetermined local areas
- FIG. 5 shows a schematic program sequence for carrying out a method in which a vehicle functions as a function of values
- Fig. 6 is a schematic representation of part of a digital map with routes with location points where information is stored.
- Road 1 shows a schematic representation of a vehicle 1 traveling on a road 2 in the direction of a traffic light 3.
- Road 2 is divided into fictitious road sections 4, 5, 6.
- the vehicle 1 is located on the first road section 4.
- the second road section 5 is located in front of the vehicle 1.
- a third road section 6 is provided between the second road section 5 and the traffic light 3.
- the vehicle 1 has a computing unit 7 and a data memory 8.
- the computing unit 7 and the data memory 8 stand together for one
- the vehicle 1 has a
- the vehicle also has an output device 10 for outputting information to a driver. Furthermore, the vehicle 1 has a controller 11 for controlling a control function of the vehicle.
- the control function can be, for example, a longitudinal guidance of the vehicle, that is, a positive or negative
- Acceleration include.
- the control function can include lateral guidance of the vehicle, that is to say a steering function of the vehicle.
- the output device 10 can be provided to output information about road sections or road sections ahead.
- the locating device 9 can also include route planning.
- the route planning can also be carried out by the computing unit 7.
- an external data memory 12 can be provided, in which values of information on location areas of a digital map are stored. Values of information in the form of an expected value and a distribution of the values around the expected value are stored both in the external data memory 12 and in the data memory 8 of the vehicle 1. For example, the distribution of the values is in the form of a normal distribution with a standard deviation.
- the values of the information can be stored in the external data memory 12 and in the data memory 8 as value ranges and / or the distribution as a distribution range, in particular as a variance.
- the information can be a parameter of a movement of a vehicle on a road or a parameter of an operating function of a vehicle,
- the values of the information are values of the parameter of the movement or the operating state of the
- the parameter can be a speed, an acceleration and / or an energy consumption of at least one,
- a large number of speeds can be stored for each road section, which vehicles drive or have driven on these road sections according to previous measurements.
- values for accelerations of vehicles that execute or have executed vehicles on these road sections can be stored for each road section. The accelerations of the vehicles were previously measured.
- values for energy consumption of vehicles can be stored for the road sections 4, 5, 6, which vehicles have on the road sections after measurements have been carried out or
- the values of the parameters for predetermined local areas of a digital map, which correspond to local areas of a real map, are not stored as individual values of the information, but rather the values of one
- Information is stored in the form of an expected value and in the form of a distribution of the values around the expected value. This will both in the data store 8 as well as 12 storage capacity saved in the external data memory. In addition, when reading out the data and / or when writing in the data
- Fig. 2 shows a schematic representation of a section of a digital map 13 in which the street 2 is shown.
- the digital card 13 is e.g. shown to the driver in the vehicle via a corresponding display.
- road sections 4, 5, 6 are shown as dashed boxes in section 13.
- the traffic light 3 is also shown.
- the vehicle 1 is shown schematically as a box.
- the traffic light 3 is arranged at an intersection 14, at which the street 2 crosses another street 15.
- the position of the vehicle 1 is recorded in the real world with the aid of the locating device 9.
- the computing unit 7 assigns the real position of the vehicle 1 to a fictitious position of the vehicle 1 on the digital map 13.
- the data for the digital card 13 are stored, for example, in the data memory 8 or in a further data memory (not shown).
- the digital streets are in
- a local area represents predetermined local area.
- a local area can be used instead of a
- Street section also include only a point on a street or a larger area of the map with several streets. For the local areas of the digital map there are values of information according to the described
- the computing unit 7 can take into account the information on the location areas of the digital map for executing a function of the vehicle.
- the function can represent the output of driver information via the output device 10.
- the execution of the function can include longitudinal guidance or transverse guidance of the vehicle.
- executing a function of the vehicle can route the
- the values of the information can be received either directly from the data memory 8 and / or at least partially or completely from the external data memory 12.
- the external data memory has a transmission device.
- the vehicle has at least one receiving device, in particular one
- Transceiver on. 3 shows a schematic representation of a curve for a normal distribution of the values of information.
- the expected value m determines at which point the normal distribution has its maximum.
- the variance o 2 defines the standard deviation by the root of the variance o.
- the normal distribution shown has the value 1 for the root of the variance o. Tests have shown that the average of a large number of observed values for information from vehicles is approximately normally distributed and follows the central limit theorem. Thus the values of the
- the values w of the information are plotted along the horizontal axis.
- the number A of values is plotted along the vertical axis.
- a further reduction in the amount of data, in particular the amount of data to be transferred, can be achieved by using classes of values.
- FIG. 4 shows a table in a schematic representation, with expected values from the value 0 to the value 200 in in the upper two lines
- the values for the variance in the distribution of the expectation ranges are divided into four value ranges, ie into four classes.
- the values for the variance Var are divided into the value ranges 0 to 5, 5 to 10, 10 to 20 and 20 to 50. This results in the variance classes 0, 1, 2 and 3. If, for example, the expected value 136.765 and the variance 4.76 are stored or transferred using this scheme, class 8 is instead used for the The expected value and class 0 for the variance are saved or transferred.
- FIG. 5 shows a schematic representation of a simple program sequence for carrying out a method for executing a function of a
- computing unit 7 uses locating device 9 to determine the real position of vehicle 1 on a road 2.
- computing unit 7 looks for a position on the digital map that corresponds to the real position of the vehicle on a digital map.
- the computing unit 7 checks whether values of information are stored for the area in which the vehicle is located in the digital map or for the areas of the digital map in the direction of travel ahead of the vehicle.
- the values of the information can be stored both in the data memory s of the vehicle 1 and in the external data memory 12.
- an instruction can be stored in the data memory which specifies which information the computing unit has for which function and
- the computing unit performs a function of the vehicle taking into account the values of the information on the digital map.
- the function can include planning a route from the current position to a given destination.
- the function can include accelerating or braking the vehicle.
- the function can also include a steering function of the vehicle.
- the function may include reducing energy consumption on a specified section of the road.
- the function can consist in passing a traffic light 3 with the shortest possible waiting time.
- the function can also consist of outputting values of the information to the driver.
- the proposed way of storing the values of the information saves storage space and transmission capacity between the computing unit and the data memory 8 or the external data memory 12.
- the reduction in the amount of memory in an engine control unit is particularly advantageous.
- Route planning can be used.
- the computing unit can plan a route from a starting point to a destination, taking into account the values of the information on the digital map.
- the computing unit can search for a route from a starting point to a destination according to a predetermined criterion.
- the criterion can be the route with the
- Fig. 6 shows a schematic representation of a partial section of a digital map with roads that are shown as lines.
- Three different routes 31, 32, 33 are shown from a starting point 20 to a destination point 21.
- location points 41, 42, 43, 44, 45, 46 are provided in the digital map on the streets, at which values of information in the form of a
- Expected values and a distribution of the values of the information are stored.
- location areas could also be provided on the digital map, to which values of information in the form of an expected value and a distribution of the values of the information are assigned.
- a local area can e.g. cover a predetermined distance from half a meter to several meters or up to 100 meters.
- the distribution of the values can be a normal distribution with a
- the information can represent a parameter of a movement of a vehicle or an operating parameter of a vehicle, the values of the information representing the values of the parameter.
- the parameter can represent a speed, an acceleration, and / or an energy consumption of at least one vehicle.
- the information can represent a parameter of a traffic control, in particular a traffic light parameter.
- the parameter can be a duration of a red phase, a duration of a green phase and / or a duration of a yellow phase
- a short distance can e.g. Comprise 2 to 5 location points or location areas and e.g. concern a route in front of a traffic light 3 or in front of an intersection etc. (Fig. 6).
- a long distance can include more than 5 local points or local areas.
- the short distance can also include more or fewer local points or local areas.
- Local areas in the real world can be between 1m and 100m or more. In the city, the distances between the local points or local areas are smaller than outside a city.
- X n is the random variable, while s and x n is the corresponding value that the random variable assumes or has assumed.
- the transition probability in which the change from state i to state j is defined as follows:
- the computing unit can plan ahead for a
- the route from a starting point to a more distant destination can be planned using long-distance planning.
- the vehicle is traveling, for example, when approaching a traffic light
- Vehicle speed can be controlled using short-distance planning.
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Automation & Control Theory (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Databases & Information Systems (AREA)
- Mathematical Physics (AREA)
- Multimedia (AREA)
- Data Mining & Analysis (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
Description
Claims
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102018222410 | 2018-12-20 | ||
DE102019203739.9A DE102019203739A1 (en) | 2018-12-20 | 2019-03-19 | Data storage, computing unit and method for performing a function of a vehicle |
PCT/EP2019/086452 WO2020127829A1 (en) | 2018-12-20 | 2019-12-19 | Data memory, computer unit and method for executing a function of a vehicle |
Publications (1)
Publication Number | Publication Date |
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EP3899904A1 true EP3899904A1 (en) | 2021-10-27 |
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EP19835395.5A Pending EP3899904A1 (en) | 2018-12-20 | 2019-12-19 | Data memory, computer unit and method for executing a function of a vehicle |
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US (1) | US20220048512A1 (en) |
EP (1) | EP3899904A1 (en) |
DE (1) | DE102019203739A1 (en) |
WO (1) | WO2020127829A1 (en) |
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US5933100A (en) * | 1995-12-27 | 1999-08-03 | Mitsubishi Electric Information Technology Center America, Inc. | Automobile navigation system with dynamic traffic data |
US7355528B2 (en) * | 2003-10-16 | 2008-04-08 | Hitachi, Ltd. | Traffic information providing system and car navigation system |
JP2007004290A (en) * | 2005-06-21 | 2007-01-11 | Aisin Aw Co Ltd | Travel time database creation device |
DE102005049458A1 (en) * | 2005-10-15 | 2007-04-26 | Daimlerchrysler Ag | System to reduce the consumption of a vehicle, using a navigation unit and a digital map, calculates the driving parameters according to the traffic and position data |
US7912628B2 (en) * | 2006-03-03 | 2011-03-22 | Inrix, Inc. | Determining road traffic conditions using data from multiple data sources |
EP1867952B1 (en) * | 2006-06-13 | 2009-12-09 | Harman/Becker Automotive Systems GmbH | Optimum route determination employing an estimation function |
US20110320113A1 (en) * | 2010-06-25 | 2011-12-29 | Gm Global Technology Operations, Inc. | Generating driving route traces in a navigation system using a probability model |
JP4978720B2 (en) * | 2010-08-06 | 2012-07-18 | トヨタ自動車株式会社 | Section definition method, travel time calculation device, and driving support device |
CN104508719B (en) * | 2012-07-17 | 2018-02-23 | 日产自动车株式会社 | Drive assist system and driving assistance method |
DE102012110099B3 (en) * | 2012-10-23 | 2014-01-09 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Prediction unit for traffic light system utilized for traffic control of road users, has control unit, where prediction result is determined in form of data that is provided as original data for other road users over interface |
EP3348964A1 (en) * | 2017-01-13 | 2018-07-18 | Carrosserie Hess AG | Method for predicting future driving conditions for a vehicle |
US10140854B2 (en) * | 2017-04-03 | 2018-11-27 | Here Global B.V. | Vehicle traffic state determination |
US20190206247A1 (en) * | 2018-01-03 | 2019-07-04 | Xiaofeng Xie | Smart In-Vehicle Decision Support Systems and Methods with V2I Communications for Driving through Signalized Intersections |
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- 2019-12-19 US US17/309,824 patent/US20220048512A1/en not_active Abandoned
- 2019-12-19 WO PCT/EP2019/086452 patent/WO2020127829A1/en unknown
- 2019-12-19 EP EP19835395.5A patent/EP3899904A1/en active Pending
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WO2020127829A1 (en) | 2020-06-25 |
US20220048512A1 (en) | 2022-02-17 |
DE102019203739A1 (en) | 2020-06-25 |
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