WO2014061136A1 - Système permettant de générer des informations de trafic de sonde et procédé permettant de générer des informations de trafic de sonde - Google Patents

Système permettant de générer des informations de trafic de sonde et procédé permettant de générer des informations de trafic de sonde Download PDF

Info

Publication number
WO2014061136A1
WO2014061136A1 PCT/JP2012/076965 JP2012076965W WO2014061136A1 WO 2014061136 A1 WO2014061136 A1 WO 2014061136A1 JP 2012076965 W JP2012076965 W JP 2012076965W WO 2014061136 A1 WO2014061136 A1 WO 2014061136A1
Authority
WO
WIPO (PCT)
Prior art keywords
traffic information
moving means
probe traffic
generation system
information generation
Prior art date
Application number
PCT/JP2012/076965
Other languages
English (en)
Japanese (ja)
Inventor
洋輝 大橋
高行 秋山
Original Assignee
株式会社日立製作所
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 株式会社日立製作所 filed Critical 株式会社日立製作所
Priority to PCT/JP2012/076965 priority Critical patent/WO2014061136A1/fr
Priority to JP2014541880A priority patent/JP5964981B2/ja
Publication of WO2014061136A1 publication Critical patent/WO2014061136A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • 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
    • G01C21/36—Input/output arrangements for on-board computers
    • G01C21/3691—Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions
    • G01C21/3694—Output thereof on a road map
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles

Definitions

  • the present invention relates to a system for generating traffic information.
  • JP 2007-303989 discloses a portable terminal that provides support according to the moving means by switching an application program according to the moving means. More specifically, JP 2007-303989 A uses an orientation sensor, a temperature sensor, an atmospheric pressure sensor, a tilt sensor, a gyro sensor, a GPS (Global Positioning System) receiver, and a map database to use in cars, walks, bicycles, Disclosed is a method of determining a moving means such as a motorcycle or a train.
  • a moving means such as a motorcycle or a train.
  • One of the services using mobile means identification technology using a portable terminal is generation of probe traffic information.
  • traffic information has been generated using a roadside sensor installed on a road and an on-vehicle device that receives signals from the roadside sensor, or using a GPS receiver included in a car navigation system or the like.
  • the cost for installing a roadside sensor and the cost for mounting a car navigation system are large, which hinders the spread of this method. This is especially true in emerging countries.
  • the probe traffic information is not information from sensors installed on the road side but traffic information generated based on sensor information installed on the vehicle side such as a car navigation system or a portable terminal.
  • the holder of the portable terminal moves by various moving means such as walking, getting on a car, getting on a motorbike, getting on a train, etc. in daily life.
  • various moving means such as walking, getting on a car, getting on a motorbike, getting on a train, etc.
  • the moving means of the portable terminal holder is determined There is a need.
  • more detailed probe traffic information can be generated by identifying a moving means such as a car or a bike even in the boarding section.
  • the magnitude of the vibration is affected by the speed of the moving body. Specifically, as the speed increases, the vibration also tends to increase. For this reason, even when using a moving means with little vibration, there is a problem that the vibration becomes large at the time of high speed traveling, and the identification of the moving means is wrong.
  • An object of the present invention is to provide a system that accurately identifies moving means by utilizing a feature in which the relationship between velocity and vibration differs depending on the moving means.
  • a representative example of the invention disclosed in the present application is as follows. That is, a probe traffic information generation system for generating probe traffic information, comprising: a terminal device for collecting position information; and a server for generating probe traffic information based on the information collected from the terminal device;
  • the apparatus receives an application program for collecting position information, collects the position information according to the provided application program, the probe traffic information generation system identifies the moving means of the terminal device, and the server Generates probe traffic information from the collected position information using the identification result of the moving means.
  • the traffic flow can be displayed in a different manner for each means of transportation, and the visibility of traffic information can be improved.
  • FIG. 18A It is a block diagram which shows another structural example of the moving means identification system of 3rd Example of this invention. It is a block diagram which shows the example of a hardware configuration of the computer which comprises the moving means identification system shown to FIG. 18A. It is a flowchart of the process performed by the movement means identification system of 3rd Example of this invention. It is a figure explaining the calculation result of the speed and vibration of 3rd Example of this invention. It is a block diagram which shows the example of a structure of the movement means identification system of the 4th Example of this invention. It is a block diagram which shows the example of a structure of the movement means identification system of the 5th Example of this invention.
  • FIG. 1 is a block diagram showing an example of the configuration of a computer system according to the first embodiment.
  • the computer system includes at least one portable terminal 210 for collecting sensor information, a computer 301 (see FIG. 3) provided in the probe center 300, and an application providing server 360 provided in the probe center 300. Have.
  • the portable terminal 210 is a communication device (for example, a smart phone) that allows a user to install an application program, and includes a sensor 211 and a data transmission unit 212.
  • the sensor 211 is a sensor for acquiring data used to identify the moving means, and is, for example, a GPS receiver for acquiring position information, an acceleration sensor for detecting vibration, or the like.
  • the data transmission unit 212 includes a processor and a communication interface, and transmits data collected by the sensor 211 to the computer 301 provided in the probe center 300 via the communication line.
  • the hardware configuration of the portable terminal 210 will be described later with reference to FIG.
  • a computer 301 that executes processing for generating probe traffic information, and an application providing server 360 that distributes an application for data collection to the portable terminal 210 are installed.
  • the computer 301 includes a data receiving unit 310, a moving means database 320, a moving means identifying unit 330, a traffic information generating unit 340, and a traffic information visualizing unit 350.
  • the data receiving unit 310 receives the traffic information generation data transmitted from the mobile terminal 210.
  • the transportation means database 320 stores traffic information generation data received from the mobile terminal 210.
  • the moving means identification unit 330 uses the traffic information generation data stored in the moving means database 320 to identify the type of moving means on which the portable terminal 210 is mounted.
  • the moving means identification unit 330 has a moving means identification database which is referred to in order to identify the moving means corresponding to the traffic information generation data.
  • the moving means identification database will be described in detail in an embodiment to be described later, one shown in FIG. 16 can be used.
  • the moving means identification database may be provided outside the moving means identifying unit 330 as long as the moving means identifying unit 330 can access the moving means identifying database.
  • the traffic information generation unit 340 generates traffic information based on the type of moving means identified by the moving means identification unit 330. For example, the traffic information generation unit 340 classifies traffic information generation data according to the type of transportation means, and counts the traffic volume, speed, and the like for each transportation means.
  • the traffic information visualization unit 350 generates information (for example, data to be displayed as an image) in an easy-to-understand format, using the traffic information collected by the traffic information generation unit 340.
  • the hardware configuration of the computer 301 will be described later with reference to FIG.
  • the hardware configuration of the application providing server 360 may be the same as the hardware configuration (FIG. 2) of the computer 301, although the description is omitted.
  • a person who desires to operate a specific business applies for approval of the business to the business authorization agency 110.
  • the business approval organization 110 approves the business for the specific business person 200 after examining the applied business content.
  • a terminal ID to be set to the portable terminal 210 is given.
  • the terminal ID is not newly assigned by the business authorization organization 110, and an identifier unique to the mobile terminal may be used.
  • IMEI International Mobile Equipment Identity
  • the terminal-specific identifier is notified to the business authorization agency 110.
  • the business authorization body 110 may be an independent body from the national and local governments.
  • This authorization application and authorization procedure may be performed by the computer of the specific business operator 200 communicating with the computer of the business authorization agency 110.
  • the procedure for the approval application and the approval may be performed by the specific business person 200 submitting an application form to the business approval body 110 and the business approval body 110 delivering a certificate to the specific business person 200.
  • the specific business operator 200 when conducting a specific business (for example, a bus business, a taxi business, a postal business, a delivery business), the country or local government of vehicle location information for performing business according to the regulation of the national and / or local government. May be required to In this case, the specific business operator 200 can provide the position information by installing an application program for collecting traffic information in the portable terminal 210 mounted on the vehicle. (3) For this reason, the specific business operator 200 (mobile terminal 210) applies to the probe center 300 for provision of an application program. At the time of this application, the terminal ID given at the time of approval is transmitted to the probe center 300.
  • a specific business for example, a bus business, a taxi business, a postal business, a delivery business
  • the specific business operator 200 can provide the position information by installing an application program for collecting traffic information in the portable terminal 210 mounted on the vehicle.
  • the specific business operator 200 mobile terminal 210) applies to the probe center
  • the application provision server 360 of the probe center 300 receives an application program provision application
  • the application provision server 360 provides the specific enterprise 200 (mobile terminal 210) with an application program necessary for collecting traffic information.
  • the application program provided by the application providing server 360 is installed on the mobile terminal 210.
  • the application for provision of the application program and the procedure for provision may be performed by the portable terminal 210 and the application providing server 360 communicating with each other.
  • the specific business operator 200 submits an application form to the operator of the probe center 300, and the operator of the probe center 300 specifies the application program stored in the storage medium. You may do by providing in 200.
  • the portable terminal 210 in which the application program provided from the application providing server 360 is installed transmits the acquired position information (traffic information generation data) to the probe center 300 (computer 301). Since the portable terminal 210 attaches the terminal ID to the position information and transmits it, the probe center 300 which has received the position information can identify the portable terminal 210 which has collected the position information.
  • the computer 301 provided in the probe center 300 generates traffic information using the traffic information generation data transmitted from the portable terminal 210. (6) Then, the computer 301 provides the generated traffic information (probe traffic information) to the country or local government (for example, the traffic department 120).
  • the destination of the probe traffic information is not limited to the traffic department, but may be a private company or an individual.
  • the flow until traffic information is provided is not limited to the one described above, and the application for authorization (1) may be made after receiving the provision (4) of the application program. Furthermore, as described later in the first modification (FIG. 9), the application program installed in the portable terminal 210 may identify the moving means and send information after the portable terminal 210 identifies the moving means. . Further, in the probe center, the provider ID, which is an identifier for indicating a specific provider, and the terminal ID of the portable terminal 210 held by the specific provider are correlated and held, and in step (6), The probe center may provide the traffic information with the probe traffic information collected for each provider ID.
  • FIG. 2 is a block diagram showing an example of the hardware configuration of the computer 301 provided in the probe center 300 of the first embodiment.
  • the computer 301 is a computer having a central processing unit 302, a main storage device 303, an auxiliary storage device 304, a communication interface 305, an input device 306, and an output device 307.
  • the central processing unit 302 executes a program stored in the main storage unit 303.
  • the main storage device 303 is, for example, a high-speed and volatile storage device such as a dynamic random access memory (DRAM), and stores an operating system (OS) and an application program.
  • the central processing unit 302 implements the basic functions of the computer 301 by executing the operating system, and implements the function of generating traffic information by executing the application program.
  • the auxiliary storage device 304 is, for example, a large-capacity and non-volatile storage device such as a magnetic storage device or a flash memory, and stores a program executed by the central processing unit 302 and data used when executing the program. That is, the program executed by the central processing unit 302 is read from the auxiliary storage unit 304, loaded into the main storage unit 303, and executed by the central processing unit 302.
  • the communication interface 305 connects the computer 301 to a network and controls communication with other devices.
  • the input device 306 is an input device used by the operator of the probe center 300, and is, for example, a keyboard and a mouse.
  • the output device 307 is a display device or a printer for presenting information to the operator of the probe center 300.
  • the program executed by the central processing unit 302 is provided to the computer 301 via a non-volatile storage medium or network. Therefore, the computer 301 may have an interface for reading a storage medium (CD-ROM, flash memory, etc.).
  • FIG. 3 is a block diagram showing an example of the hardware configuration of the portable terminal 210 of the first embodiment.
  • the portable terminal 210 has a central processing unit 221, a storage unit 222, a GPS receiver 223, a data acquisition sensor 224 for moving means identification, a communication interface 225, an input unit 226 and an output unit 227 (e.g. ).
  • the central processing unit 221 is a processor that executes a program stored in the storage unit 222.
  • the storage device 222 includes a high-speed and volatile storage device such as a dynamic random access memory (DRAM) and a large-capacity non-volatile storage device such as a flash memory. Volatile storage stores an operating system (OS) and application programs.
  • the central processing unit 221 realizes the function of the data transmission unit 212 by executing the application program.
  • the non-volatile storage device stores programs executed by the central processing unit 221 and data used at the time of program execution. That is, the program executed by the central processing unit 221 is read from the non-volatile storage device, loaded to the volatile storage device (DRAM), and executed by the central processing unit 221.
  • the sensor 211 of the portable terminal 210 includes a GPS receiver 223 and a data acquisition sensor 224 for mobile means identification.
  • the GPS receiver 223 receives signals from GPS satellites and outputs current position information (latitude, longitude, height). Also, the moving speed can be acquired from the time change of the position information output from the GPS receiver 223.
  • the moving means identification data collection sensor 224 is a sensor that collects data used to identify the moving means, and may use, for example, an acceleration sensor, a gyro sensor (angular velocity sensor), a geomagnetic sensor, an air pressure sensor, a microphone, etc. it can.
  • the moving means may be identified using data (for example, acceleration) acquired by the data acquisition sensor 224 for moving means identification. Furthermore, the moving means may be identified by combining data acquired by the plurality of moving means identification data collection sensors 224.
  • the communication interface 225 connects the portable terminal 210 to a wireless network, and controls communication with the computer 301 provided in the probe center 300.
  • Communication interface 225 includes a wireless transceiver that transmits and receives signals to and from a wireless link (eg, a cellular phone link, a dedicated wireless link).
  • the input device 226 is a keyboard, a touch panel or the like operated by the user.
  • the output device 227 is a display device (for example, a liquid crystal display panel) that displays information to the user.
  • FIG. 4 is a flowchart of processing in the computer system of the first embodiment.
  • the central processing unit 302 of the computer 301 provided in the probe center 300 executes a predetermined program in the processing by the moving means identification unit 330, the traffic information generation unit 340, and the traffic information visualization unit 350. Is performed by
  • the portable terminal 210 (installed application program) sends the position information output from the GPS receiver 223 and the sensor data output from the data collection sensor for moving means identification 224 to the probe center 300 as traffic information generation data.
  • Send (S1) the position information output from the GPS receiver 223 and the sensor data output from the data collection sensor for moving means identification 224 to the probe center 300 as traffic information generation data.
  • the central processing unit 302 stores the received data in the moving means database 320 (S2).
  • S2 A configuration example of the transfer means database 320 will be described later with reference to FIG.
  • the moving means identification unit 330 of the computer 301 reads out necessary information from the moving means database 320, and identifies the moving means of the portable terminal 210 that has transmitted the read data (S3).
  • the moving means identification unit 330 outputs the label of the position / time / moving means (S4).
  • An example of the format of data output from the moving means identification unit 330 will be described later with reference to FIG.
  • the traffic information generation unit 340 uses the data output from the moving means identification unit 330 to estimate the congestion status for each road, and generates traffic information (S5). Specifically, only the moving means traveling on the road such as a car, a motorbike, and a bus are extracted and combined, and the speed at each time is obtained from the position information. Then, the congestion condition of each moving means is estimated using a known method.
  • the traffic information generated by the traffic information generator 340 will be described later with reference to FIGS. 7A to 7C.
  • the traffic information visualization unit 350 visualizes the traffic information using the data output from the traffic information generation unit 340, that is, generates display data for displaying the generated traffic information on the screen (S6) ).
  • display data generated by the traffic information visualization unit 350 will be described later with reference to FIG.
  • FIG. 5 is a diagram for explaining a configuration example of the moving means database 320 of the first embodiment.
  • the moving means database 320 includes a combination of terminal ID, position, sensor data, and date and time as one record.
  • the terminal ID is identification information for uniquely identifying the portable terminal 210.
  • the position is position information output from the GPS receiver 223 of the portable terminal 210, and includes data of latitude and longitude.
  • the sensor data is sensor data (for example, acceleration values in the x, y, and z directions measured by the 3-axis acceleration sensor) output from the data acquisition sensor 224 for moving means identification.
  • the date is the date when the position information and the sensor data were measured.
  • the transfer means database 320 may not include all the items described, and may include items other than the items described.
  • FIG. 6 is a diagram for explaining an example of the format of data output from the moving means identification unit 330 of the first embodiment.
  • the data output from the moving means identification unit 330 of the computer 301 provided in the probe center 300 is composed of a set of a terminal ID, a position, a moving means, and a date and time.
  • the terminal ID is identification information for uniquely identifying the portable terminal 210.
  • the position is position information output from the GPS receiver 223 of the portable terminal 210.
  • the moving means is a moving means identified by the moving means identification unit 330, and is, for example, a walk, a car, a motorcycle or the like.
  • the date is the date when sensor data and position information were measured.
  • the data output from the moving means identification unit 330 is represented in the form of a table in the figure, it may not be in the form of a table, and may be, for example, a set of data output at an arbitrary timing.
  • the data output from the moving means identification unit 330 may not include all the items described, and may include items other than the items described.
  • 7A to 7C are diagrams for explaining examples of the format of data output from the traffic information generation unit 340 of the first embodiment.
  • the traffic information generated by the traffic information generation unit 340 is obtained by extracting only the moving means such as a four-wheeled vehicle, a motorbike, a bus, etc. traveling on the road, and putting it together for each moving means.
  • the data output from the traffic information generation unit 340 are represented by a plurality of tables arranged for each moving means, another format may be used.
  • the data output from the traffic information generation unit 340 of the computer 301 provided in the probe center 300 is composed of a set of a terminal ID, a position, a moving speed, and a date and time.
  • the terminal ID is identification information for uniquely identifying the portable terminal 210.
  • the position is position information output from the GPS receiver 223 of the portable terminal 210.
  • the moving speed is a speed calculated from time-series position information output by the GPS receiver 223.
  • the date is the date when sensor data and position information were measured.
  • FIG. 8 is a diagram for explaining an example of data output from the traffic information visualization unit 350 of the first embodiment.
  • the congestion degree for each moving means that is, the number of arrows according to the traffic volume is displayed on the map road in a manner different for each moving means.
  • the length of the arrow indicates the moving speed.
  • the moving speed may be represented by the shade of the color of the arrow.
  • the moving speed may be represented by animation. Specifically, an icon representing a moving means (for example, a mark color-coded for each moving means) is moved on the road, and the moving speed of the icon corresponds to the average speed for each moving means estimated from the road congestion situation. May be set. In this case, the visibility can be further improved by highlighting a particularly crowded intersection.
  • each record of data output from the traffic information generation unit 340 can be associated with a road by using a known method such as map matching. By doing this, it is possible to know the congestion status by road. Furthermore, the visibility can be further improved by calculating the average traveling speed of each moving means for each road and visualizing the degree of congestion based on the calculated average traveling speed.
  • the congestion of roads varies with time. For this reason, the display of the traffic volume for each moving means is divided and displayed for each predetermined time (for example, every hour). By this, it is possible to easily grasp the change in traffic volume for each time zone.
  • the visibility of traffic information improves by displaying in a different aspect for every moving means. For example, it is possible to intuitively grasp the traffic flow by means of transportation in a certain area.
  • a congested road may be displayed in a manner distinguishable from other roads, or may be displayed on a plurality of maps so that the state of congestion can be understood for each time zone.
  • the stored past information may be used to indicate changes in traffic conditions.
  • traffic information may be displayed by superposing simulation results of traffic volume.
  • the data output from the traffic information visualization unit 350 is not limited to the one that displays the congestion status as illustrated, but may be data for controlling traffic information, for example, information for controlling traffic signals, installed on roads. It may be information for controlling the traffic information display (characters and / or a map displayed on the traffic information display).
  • the congestion information of the road according to the transportation means generated in this way can be used when making a city plan, for example, a construction plan of a new road, or when newly regulating traffic.
  • a city plan for example, a construction plan of a new road, or when newly regulating traffic.
  • the number of dedicated lanes (motorcycle lanes, car lanes, bus lanes, etc.) for each transportation means can be appropriately determined.
  • traffic restrictions can be established so that only buses can pass during rush hour. In this way, various plans can be formulated to suit local circumstances.
  • FIG. 9 is a block diagram showing the configuration of a computer system of the first modification of the first embodiment.
  • the portable terminal 210 has a moving means identification unit 213, unlike the configuration example shown in FIG. 1 described above.
  • the mobile means identification unit 213 identifies the type of mobile means on which the portable terminal 210 is mounted, using the position information output from the GPS receiver 223 and the sensor data output from the mobile means identification data collection sensor 224. .
  • the data transmission unit 212 transmits traffic information generation data including the type of the moving means identified by the moving means identification unit 213 to the probe center 300.
  • the traffic information generation data received by the data receiving unit 310 is stored in the moving means database 320.
  • the traffic information generation unit 340 generates traffic information based on the type of moving means stored in the moving means database 320.
  • the traffic information visualization unit 350 generates information (for example, image data) in an easy-to-understand format, using the traffic information collected by the traffic information generation unit 340.
  • FIG. 10 is a view for explaining a configuration example of the moving means database 320 of the first modification of the first embodiment, that is, data transmitted from the portable terminal 210. As shown in FIG.
  • the moving means database 320 of the modified example 1 is configured as a single set of a terminal ID, a position, a moving means, and a date and time.
  • the terminal ID is identification information for uniquely identifying the portable terminal 210.
  • the position is position information output from the GPS receiver 223 of the portable terminal 210.
  • the moving means is a moving means identified by the moving means identification unit 330, and is, for example, a walk, a car, a motorcycle or the like.
  • the date is the date when sensor data and position information were measured.
  • the transfer means database 320 may not include all the items described, and may include items other than the items described.
  • data transmitted from the portable terminal 210 may be transmitted for each one record or may be transmitted together as a plurality of records.
  • the portable terminal 210 In order to identify the moving means, data at short time intervals (for example, one second) is required. Therefore, as the portable terminal 210 identifies the moving means as in the first modification, the time interval of data transmitted from the portable terminal 210 can be lengthened, and the amount of communication from the portable terminal 210 to the probe center 300 Can be reduced.
  • FIG. 11 is a block diagram showing the configuration of a computer system of the second modification of the first embodiment.
  • the traffic information generation unit 340 collects traffic information collected by the existing traffic information collection system 500, and a portable terminal The traffic information generation data acquired from 210 is used to generate traffic information.
  • the existing traffic information collection system 500 is a system for collecting location information (probe data) acquired from terminals mounted on taxis and buses. Also, as the existing traffic information collection system 500, traffic information for each moving means collected by the roadside sensor or the roadside camera may be used.
  • the location information collected by the traffic information collecting system 500 can be expanded in scope of collecting traffic information by combining this information with the information identifying the moving means in this embodiment. A wide range of accurate traffic information can be generated.
  • the computer 301 provided in the probe center 300 of the second modification of the first embodiment includes the existing traffic information generation database 370 and the data reception unit 380.
  • the data receiving unit 380 receives traffic information data transmitted from the existing traffic information collection system 500.
  • the existing traffic information generation database 370 stores traffic information data acquired from the existing traffic information collection system 500.
  • the traffic information generating unit 340 combines the data of the four-wheeled vehicle output by the moving means identifying unit 330 with the probe data of a taxi, and combines the bus data output by the moving means identifying unit 330 with the probe data of the bus.
  • traffic information can be obtained by handling vehicles without distinction between vehicles, motorcycles, buses, etc. (even pedestrians are distinguished), things that pass on the road are grouped and handled without distinction of transportation means.
  • the scope of collecting can be broadened.
  • the moving means adds the known information to generate the probe traffic information, so that more detailed probe traffic information can be generated. .
  • the moving means and movement which the person who possessed the portable terminal 210 used this example
  • the present invention can also be applied to a system for personal trip investigation for examining a route or the like. In this case, it is possible to know the flow of the person who possesses the portable terminal 210 by accumulating the history (log) of the position information of the person (portable terminal 210).
  • the traffic flow can be displayed in a different manner for each moving means, and the visibility of traffic information can be improved.
  • traffic signals and traffic information indicators can be controlled by the generated probe traffic information, and traffic flow can be controlled in detail.
  • the transmission source of traffic information generation data is identified using the terminal ID given at the time of approval, information can be collected correctly.
  • the visibility of traffic information can be improved by superimposing and displaying a traffic flow on a map in a different aspect for every moving means.
  • the processing load on the portable terminal 210 can be reduced. Further, when the portable terminal 210 identifies the type of moving means, the amount of communication from the portable terminal 210 to the probe center 300 can be reduced.
  • FIG. 12 is a block diagram showing an example of the configuration of a computer system according to the second embodiment.
  • the application provider server 410 of the communication carrier provides the portable terminal 210 with an application program necessary for collecting traffic information.
  • the specific business operator 200 operating a specific business concludes a contract with a communication carrier.
  • This contract may include, in addition to a normal communication service provision contract, a contract to receive provision of an application program necessary for collecting traffic information.
  • the application provider server 410 of the communication carrier upon confirming the establishment of the contract with the specific enterprise 200, provides the specific enterprise 200 (mobile terminal 210) with an application program necessary for collecting traffic information.
  • the application program provided by the application providing server 410 is installed on the mobile terminal 210.
  • the application for provision of the application program and the procedure for provision may be performed by the portable terminal 210 and the application providing server 360 communicating with each other. Also, the application program provision application and provision procedure are performed by the communication carrier providing the application program stored in the storage medium to the specific enterprise 200 after the specific enterprise 200 and the communication carrier conclude a contract. May be
  • the portable terminal 210 in order to activate the portable terminal 210, installation of a predetermined application program for traffic information collection may be necessary. Also, the portable terminal 210 in which an application program for collecting predetermined traffic information is installed may be transferred or lent. Further, when updating the software of the portable terminal 210, the application program may be updated.
  • the portable terminal 210 transmits the acquired position information (traffic information generation data) to the probe center 300 (computer 301).
  • the computer 301 provided in the probe center 300 generates traffic information using the traffic information generation data transmitted from the portable terminal 210, and the generated traffic information (probe traffic information) For example, the traffic station 120) is provided.
  • a contract with a communication carrier may be concluded after approval by a state or a local government, or a contract with a communication carrier The conclusion may be a condition of approval by the government or local government.
  • traffic information generation data can be collected also for vehicles of businesses and individuals that do not require approval by the state or local government.
  • FIG. 13 shows the vibration when driving with the four-wheeler on the same road and the vibration when driving with a motorcycle. It can be seen that the point at which both vibrations increase and the point at which the vibrations decrease are similar. For this reason, it is difficult to identify these when using the speed to identify the moving means.
  • moving means with similar tendency of speed change such as four-wheeled vehicle, motorcycle, bus etc. are different in vibration. It was difficult to make an accurate judgment.
  • the magnitude of vibration during traveling is influenced by the traveling speed. This is considered to be because the vibration generated during traveling is due to the unevenness of the road, so if the speed increases, the number of unevenness passing in unit time increases and the vibration also increases accordingly.
  • FIG. 14 shows the relationship between speed and vibration of a four-wheeled vehicle and a motorcycle. It can be seen that the four-wheeled vehicle has a small effect on vibration due to speed, and the motorcycle has a large effect on vibration due to speed. This is considered to be because the suspension for absorbing the vibration, the stability of the vehicle body due to the number of wheels, and the like differ depending on the moving means.
  • the moving means can be identified with high accuracy by utilizing the relationship between the velocity and the vibration which differs depending on the moving means in this manner.
  • FIG. 15 is a block diagram showing an example of the configuration of the moving means identification system of the third embodiment.
  • the moving means identification system includes a speed sensor 1001, a vibration sensor 1002, a relation calculating unit 1003, a moving means identifying unit 1004, and a moving means identification database 1005.
  • the speed sensor 1001 can use a GPS receiver.
  • the GPS receiver receives signals from GPS satellites and outputs current position information (latitude, longitude, height). Furthermore, the moving speed can be acquired from the time change of the position information output from the GPS receiver 223.
  • the vibration sensor 1002 can use an acceleration sensor, a gyro sensor (angular velocity sensor), a geomagnetic sensor, a barometric pressure sensor, or the like, and can obtain vibration from time changes of measured values of these sensors.
  • the relationship calculating unit 1003 calculates the relationship between velocity and vibration.
  • the moving means identification unit 1004 refers to the moving means identification database 1005 to identify the moving means.
  • the relation calculation unit 1003 and the moving means identification unit 1004 are implemented by the central processing unit 1011 of the portable terminal 1010 or the central processing unit 1022 (see FIGS. 17 and 18B) of the computer 1020 executing a predetermined program. .
  • the moving means identification database 1005 stores the relationship between speed and vibration for each type of moving means. For example, as illustrated in FIG. 16, the moving means identification database 1005 has a range of values of coefficients (slopes) for each moving means when the vibration is approximated by a linear function of the speed as the relation between the speed and the vibration. Store This value may store, for each moving means, the result of calculating the relationship between speed and vibration in advance based on experiments, simulations, and the like.
  • the transfer means identification database 1005 is stored in the storage device 1012 of the portable terminal 1010 or the auxiliary storage device 1024 of the computer 1020 (see FIGS. 17 and 18B).
  • the moving means identification database 1005 illustrated in FIG. 16 does not distinguish a road, you may set the threshold value of an inclination for every road. Also, the threshold may be changed by determining the condition of the road surface.
  • FIG. 17 is a block diagram showing an example of the hardware configuration of the mobile means identification system of the third embodiment.
  • the mobile means identification system is implemented in the portable terminal 1010.
  • the portable terminal 1010 is a portable communication device (for example, a smart phone) including a central processing unit 1011, a storage unit 1012, a speed sensor 1001, a vibration sensor 1002, an input unit 1016, and an output unit 1017.
  • the central processing unit 1011 is a processor that executes a program stored in the storage device 1012.
  • the storage device 1012 includes a high-speed and volatile storage device such as a dynamic random access memory (DRAM) and a large-capacity non-volatile storage device such as a flash memory. Volatile storage stores an operating system (OS) and application programs.
  • the central processing unit 1011 executes the application program to implement the function of the mobile means identification system.
  • the non-volatile storage device stores a program executed by the central processing unit 1011 and data used at the time of program execution. That is, the program executed by the central processing unit 1011 is read from the non-volatile storage device, loaded to a volatile storage device (DRAM), and executed by the central processing unit 1011.
  • DRAM dynamic random access memory
  • DRAM volatile storage device
  • the input device 1016 is a keyboard, a touch panel or the like operated by the user.
  • the output device 1017 is a display device for displaying information to the user, and for example, a liquid crystal display panel can be used.
  • the portable terminal 1010 may have a communication interface for connecting to a wireless network.
  • the program executed by the central processing unit 1011 is provided to the portable terminal 1010 via a network or a non-volatile storage medium. Therefore, the portable terminal 1010 may include an interface (for example, a USB interface) that reads a storage medium.
  • an interface for example, a USB interface
  • FIG. 18A is a block diagram showing another configuration example of the moving means identification system of the third embodiment.
  • the sensor parts 1001 and 1002 of the mobile means identification system are mounted on the portable terminal 1010, and the calculation parts 1003, 1004 and 1005 are mounted on another computer 1020.
  • the hardware of the portable terminal 1010 may be the same as the configuration example shown in FIG. Further, the speed sensor 1001 and the vibration sensor 1002 may be mounted on one portable terminal or may be mounted on different portable terminals.
  • FIG. 18B is a block diagram showing an example of a hardware configuration of a computer 1020 that constitutes the moving means identification system shown in FIG. 18A.
  • the computer 1020 is a computer having a central processing unit 1022, a main storage unit 1023, an auxiliary storage unit 1024, a communication interface 1025, an input unit 1026, and an output unit 1027.
  • the central processing unit 1022 executes a program stored in the main storage unit 1023.
  • the main storage device 1023 is, for example, a high-speed and volatile storage device such as a dynamic random access memory (DRAM), and stores an operating system (OS) and an application program.
  • the central processing unit 1022 executes the operating system to realize the basic functions of the computer 1020, and the application program executes the functions of the moving means identification system.
  • the auxiliary storage device 1024 is, for example, a large-capacity and non-volatile storage device such as a magnetic storage device or a flash memory, and stores a program executed by the central processing unit 1022 and data used when executing the program. That is, a program executed by the central processing unit 1022 is read from the auxiliary storage unit 1024, loaded into the main storage unit 1023, and executed by the central processing unit 1022.
  • the communication interface 1025 connects the computer 1020 to a network and controls communication with the portable terminal 1010. That is, the computer 1020 collects data acquired by the speed sensor 1001 and the vibration sensor 1002 via the communication interface 1025. It should be noted that the speed sensor 1001 and the vibration sensor 1002 have acquired by connecting the portable terminal 1010 via another interface for data transfer (for example, USB interface) without connecting the portable terminal 1010 via the communication interface 1025 Data may be collected.
  • another interface for data transfer for example, USB interface
  • the input device 1026 is an input device used by the operator, and is, for example, a keyboard and a mouse.
  • the output device 1027 is a display device or a printer for presenting information to the operator of the probe center 300.
  • the program executed by the central processing unit 1022 is provided to the computer 1020 via a non-volatile storage medium or network. Therefore, the computer 1020 may include an interface for reading a storage medium (CD-ROM, flash memory, etc.).
  • the transfer means identification database 1005 may be stored in the auxiliary storage device 1024 or may be stored in an external storage device connected to the computer 1020.
  • FIG. 19 is a flowchart of processing executed by the moving means identification system of the third embodiment.
  • the moving means identification process shown in FIG. 19 is performed by the central processing unit 1011 of the portable terminal 1010 or the central processing unit 1022 of the computer 1020 executing a predetermined program.
  • velocity and vibration are calculated (S11).
  • the moving speed is calculated from the time change of the position information output from the GPS receiver.
  • equation (1) can be used to calculate from the difference in position information obtained from the GPS receiver.
  • lat latitude and lon is longitude.
  • the vibration sensor 1002 is an acceleration sensor
  • the moving speed may be acquired by integrating the acceleration in the traveling direction acquired by the acceleration sensor.
  • the vibration is calculated from the time change of the measured value of the vibration sensor 1002.
  • the vibration can use the variance or standard deviation of the absolute value of acceleration.
  • the maximum value, the average value or the median value of the amplitude in a certain time width may be used.
  • a power spectrum may be used.
  • FIG. 20 shows the calculation results of the velocity and the vibration. As illustrated in the figure, the calculation results of the velocity and the vibration are associated with the calculation results of the velocity (vel i ) and the vibration (vib i ) for each time (time zone).
  • the relationship between velocity and vibration is calculated (S12). Specifically, the vibration and velocity calculated by the above-described method are plotted for a fixed time on a two-dimensional plane in which the vibration and velocity are two axes. For example, calculate the velocity (vel i ) and vibration (vib i ) every 10 seconds and plot 5 minutes (ie, 30 points). For example, the least squares method is applied to this plot result to obtain a linear function that best approximates the plotted points, and the coefficient (slope of a straight line) of the linear function is made to be the relationship between velocity and vibration.
  • the moving means identification database 1005 is referenced to identify the moving means (S13).
  • the moving means is identified according to the possible range of the value of the slope of the straight line for each moving means stored in the moving means identification database 1005.
  • the points where the moving means are known are plotted in advance on a two-dimensional plane, the identification boundary is learned using an identification method such as a support vector machine, and the learned identification boundary parameters are stored in the database Do. And when identifying unknown data, a moving means can also be identified by the value calculated using the parameter stored in the database.
  • the portable terminal 1010 may be pocketed, bagged or seated, as it is not necessary to define how the sensor is held and the orientation of the sensor.
  • the moving means can be identified with high accuracy because the moving means is identified using the feature that the relationship between the velocity and the vibration is different for each moving means. Further, since the moving means is identified using the coefficient (slope of a straight line) of a linear function which approximates the relationship between the velocity and the vibration, the moving means can be identified by a simple calculation.
  • the relationship between velocity and vibration may be similar.
  • the influence of traveling speed on the magnitude of vibration is similar between a bus and a motorcycle, and if attention is focused only on the magnitude of vibration, identification accuracy may be degraded.
  • three-wheeled vehicles such as cars and buses, are considered to be divided into vibrations in the vertical direction (hereinafter referred to as the vertical direction) and vibrations in the horizontal direction (hereinafter referred to as the horizontal direction) orthogonal to the traveling direction.
  • the vertical direction vibrations in the vertical direction
  • the horizontal direction vibrations in the horizontal direction
  • FIG. 21 is a block diagram showing an example of the configuration of the moving means identification system of the fourth embodiment.
  • the moving means identification system includes a speed sensor 1001, a vibration sensor 1002, a relation calculating unit 1003, a moving means identifying unit 1004, a moving means identification database 1005, and a vibration resolving unit 1006.
  • the functions and processes of the speed sensor 1001, the vibration sensor 1002, the relation calculation unit 1003, the moving means identification unit 1004, and the moving means identification database 1005 are the same as those in the third embodiment described above. The detailed description is omitted.
  • the vibration decomposition unit 1006 decomposes the vibration detected by the vibration sensor 1002 into a longitudinal component and a lateral component.
  • gravitational acceleration can be determined by calculating an average vector of acceleration vectors in a certain time width. This gravitational acceleration is defined as a component in the vertical direction. Then, the measured acceleration vector is projected in the vertical direction to determine the vertical component, and the vertical component is removed to determine the horizontal component.
  • the traveling direction vector can be determined by calculating the average vector of the horizontal component vectors in a certain time width. Then, the horizontal component of the acceleration vector is projected in the traveling direction to determine the traveling direction component, the traveling direction component is removed from the horizontal component, and the component orthogonal to the traveling direction is determined.
  • principal component analysis is applied to a sequence of acceleration vectors collected in a certain time width, and the first principal component is a vertical component and the third principal component is a traveling direction orthogonal component.
  • the ingredients can be defined.
  • the direction of vibration is similar even if the characteristics of the magnitude of the vibration are similar due to the vibration decomposition unit 1006 that decomposes the vibration into the vertical vibration and the horizontal vibration. Is different, the moving means can be identified with high accuracy.
  • FIG. 22 is a block diagram showing an example of the configuration of the moving means identification system according to the fifth embodiment.
  • the moving means identification system includes a speed sensor 1001, a vibration sensor 1002, a relation calculating unit 1003, a moving means identifying unit 1004, a moving means identification database 1005, and a specific frequency component extraction unit 1007.
  • the functions and processing of the speed sensor 1001, the vibration sensor 1002, the relation calculation unit 1003, the moving means identification unit 1004, and the moving means identification database 1005 are the same as those in the third embodiment described above. The detailed description is omitted.
  • the specific frequency component extraction unit 1007 extracts the vibration of a specific frequency component among the vibrations detected by the vibration sensor 1002.
  • a band pass filter that passes a specific frequency component can be used.
  • the specific frequency component extraction unit 1007 may extract a specific frequency component by Fourier transforming a vibration obtained from the measured acceleration and integrating its absolute value within the corresponding frequency band.
  • a power spectrum of the magnitude of vibration may be used.
  • the moving means can be identified with high accuracy by calculating the power spectrum for each of a plurality of frequency bands obtained by dividing the entire spectrum of vibration.
  • the entire spectrum of vibration is divided into five bands of 0 to 1 Hz, 1 to 4 Hz, 4 to 15 Hz, 15 to 25 Hz, and 25 Hz or more.
  • the frequency component near 2 Hz tends to be stronger than other frequency bands. Therefore, the power spectrum of 1 Hz to 4 Hz becomes stronger than other moving means.
  • the frequency component of 4 Hz to 15 Hz corresponding to the rotation speed of the bicycle tends to be stronger than other frequency bands.
  • the frequency component of 15 Hz to 25 Hz corresponding to the number of revolutions of the engine tends to be stronger than other frequency bands.
  • the characteristic of the frequency spectrum of the vibration is obtained by the specific frequency component extraction unit 1007 that extracts the vibration of the specific frequency component. If different, the moving means can be identified with high accuracy.
  • FIG. 23 is a block diagram showing an example of the configuration of the moving means identification system of the sixth embodiment.
  • the moving means identification system includes a speed sensor 1001, a vibration sensor 1002, a relation calculating unit 1003, a moving means identifying unit 1004, a moving means identification database 1005, and an identification result correction unit 1008.
  • the functions and processes of the speed sensor 1001, the vibration sensor 1002, the relation calculation unit 1003, the moving means identification unit 1004, and the moving means identification database 1005 are the same as those in the third embodiment described above. The detailed description is omitted.
  • the identification result correction unit 1008 corrects the identification result of the moving means by identifying the moving means from the information before and after the moving means identified by the moving means identification unit 1004.
  • FIG. 24 is a diagram for explaining the identification result of the moving means of the sixth embodiment.
  • the moving means does not change from time to time in a short time such as tens of seconds. For this reason, the identification result of the moving means can be corrected using the identification result of the time before and after.
  • the moving means of t i +2 are identified as being a bike, while the moving means of t i +1 and t i +3 before and after it are identified as being a four-wheeled vehicle. Therefore, it is corrected that the moving means of t i +2 is not a motorcycle but a four-wheeled vehicle.
  • the moving means is identified after removing the data that is likely to cause misidentification, and the moving means with higher accuracy is obtained by estimating the moving means of the missing part from the information before and after that. Can be identified.
  • the moving means can be identified with high accuracy by masking the area prone to misidentification and not using the data of the mask area.
  • FIG. 25 is a block diagram showing an example of the configuration of a moving means identification system of a modification of the sixth embodiment.
  • the moving means identification system of the modification of the sixth embodiment includes a speed sensor 1001, a vibration sensor 1002, a relation calculating unit 1003, a moving means identifying unit 1004, a moving means identification database 1005, an identification result correcting unit 1008 and a mask unit 1009. Have.
  • the mask unit 1009 masks an area where misidentification is likely to occur in the relationship between velocity and vibration. Then, the identification result correction unit 1008 estimates the moving means from the information before and after the time when the moving means identification unit 1004 can not identify the moving means.
  • FIG. 27 is a view for explaining the identification result of the moving means of the modification of the sixth embodiment.
  • the moving means of t i +2 are not identified, but the moving means of t i +1 and t i +3 before and after it are identified as four-wheeled vehicles. Therefore, the moving means of t i +2 is corrected to be a four-wheeled vehicle.
  • the identification result correction unit 1008 for estimating the moving means from the information before and after makes it possible to identify the moving means with high accuracy. Further, by not using data of a region where false identification is likely to occur, an error in the identification result of the moving means at each time can be prevented by the mask unit 1009 that masks the region where false identification is likely to occur.
  • the magnitude of the vibration is related to the velocity, so the measured vibration value may not represent the correct magnitude of the vibration that should be produced at that location.
  • the vibration is estimated from the speed and moving means, and The vibration of the corresponding section is compared with the expected vibration by comparing the estimated value of the vibration, which should be the magnitude of the vibration of this level, with the actually measured vibration. It can be determined whether it is relatively large or small.
  • FIG. 28 is a block diagram showing an example of the configuration of a vibration simulation system according to the seventh embodiment.
  • the vibration simulation system of the seventh embodiment includes a velocity sensor 1101, a vibration sensor 1102, a relation calculation unit 1103, a vibration calculation unit 1104 and a moving means identification database 1105.
  • the functions and processing of the speed sensor 1101, the vibration sensor 1102 and the relation calculation unit 1103 of the seventh embodiment are the same as those of the speed sensor 1001, the vibration sensor 1002 and the relation calculation unit 1003 of the third embodiment, The detailed description is omitted.
  • the vibration simulation system of the seventh embodiment is mounted on the portable terminal 1010 and / or the computer 1020 of the third embodiment described above (see FIGS. 17 and 18B).
  • the vibration calculation unit 1104 calculates an estimated value of the magnitude of vibration using the moving speed acquired by the speed sensor 1101.
  • the vibration calculation unit 1104 is implemented by the central processing unit 1011 of the portable terminal 1010 or the central processing unit 1022 of the computer 1020 executing a predetermined program.
  • the moving means identification database 1105 stores, for each moving means, parameters (slope a, intercept b) representing characteristics of the relationship between velocity and vibration. For example, as shown in FIG. 29, the moving means identification database 1105 stores the values of the inclination a and the intercept b as parameters representing the characteristics of the relationship between speed and vibration for each vehicle for which data collection has been performed.
  • a record may be created for each vehicle.
  • the collected data may be collected into one record.
  • the vibration simulation system according to the seventh embodiment for example, by traveling a road in a certain area with one or more vehicles, it is possible to extract a road whose vibration is larger than usual. Roads may be deteriorated at places where vibration is large, so maintenance and inspection of the roads can be made efficient, such as checking and repairing the places.
  • a certain vehicle travels the road, and data on the relationship between speed and vibration is collected.
  • the relationship between velocity and vibration is plotted on a two-dimensional plane by the above-described method, and the parameters (slope a and intercept b when approximated to a linear function) of the equation (2) of the following straight line are determined.
  • vib a ⁇ vel + b formula (2)
  • the road on which the magnitude of relative vibration is to be examined is traveled, and the speed and vibration (vel i , vib i — observed ) are measured at predetermined time intervals.
  • the magnitude of relative vibration in the corresponding section can be determined by comparing the expected vibration vib i — expected calculated in equation (3) with the measured value of vibration vib i — observed .
  • the vibration is estimated from the velocity and the moving means, an estimated value of the vibration can be obtained, and furthermore, the magnitude of the vibration actually measured in the corresponding section is It can be determined whether it is large compared to the expected vibration.
  • each of the configurations, functions, processing units, processing means, etc. described above may be realized by hardware, for example, by designing part or all of them with an integrated circuit. Further, each configuration, function, and the like described above may be realized by software by causing a processor to execute a program that realizes each function. Information such as programs, tables, and files that realize each function is stored in memory, hard disk, recording device such as SSD (Solid State Drive), or non-temporary recording medium such as IC card, SD card, DVD, etc. can do.
  • SSD Solid State Drive
  • control lines and information lines indicate what is considered to be necessary for explanation, and not all control lines and information lines necessary for mounting on a product are shown. In practice, almost all configurations may be considered to be mutually connected.

Landscapes

  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Remote Sensing (AREA)
  • Environmental Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Environmental & Geological Engineering (AREA)
  • Ecology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Atmospheric Sciences (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un système permettant de générer des informations de trafic de sonde qui comporte un dispositif terminal qui collecte des informations de position et un serveur qui génère des informations de trafic de sonde sur la base des informations collectées à partir du dispositif terminal, et qui est caractérisé en ce que : le dispositif terminal, en réponse à la mise à disposition d'un programme d'application permettant de collecter les informations de position, collecte les informations de position conformément au programme d'application à disposition ; le système de génération d'informations de trafic de sonde identifie un moyen mobile du dispositif terminal ; et le serveur génère les informations de trafic de sonde à partir des informations de position collectées en utilisant un résultat d'identification du moyen mobile.
PCT/JP2012/076965 2012-10-18 2012-10-18 Système permettant de générer des informations de trafic de sonde et procédé permettant de générer des informations de trafic de sonde WO2014061136A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/JP2012/076965 WO2014061136A1 (fr) 2012-10-18 2012-10-18 Système permettant de générer des informations de trafic de sonde et procédé permettant de générer des informations de trafic de sonde
JP2014541880A JP5964981B2 (ja) 2012-10-18 2012-10-18 プローブ交通情報生成システム及びプローブ交通情報生成方法

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2012/076965 WO2014061136A1 (fr) 2012-10-18 2012-10-18 Système permettant de générer des informations de trafic de sonde et procédé permettant de générer des informations de trafic de sonde

Publications (1)

Publication Number Publication Date
WO2014061136A1 true WO2014061136A1 (fr) 2014-04-24

Family

ID=50487724

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2012/076965 WO2014061136A1 (fr) 2012-10-18 2012-10-18 Système permettant de générer des informations de trafic de sonde et procédé permettant de générer des informations de trafic de sonde

Country Status (2)

Country Link
JP (1) JP5964981B2 (fr)
WO (1) WO2014061136A1 (fr)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015170385A1 (fr) * 2014-05-08 2015-11-12 株式会社日立製作所 Système d'identification de moyens de transport, procédé d'identification de moyens de transport, et support de stockage non transitoire lisible par ordinateur
JP2018059884A (ja) * 2016-10-07 2018-04-12 日本無線株式会社 物標識別装置、プログラム及び方法
JP2018106287A (ja) * 2016-12-22 2018-07-05 富士通株式会社 振動及び／又は騒音の発生地点抽出プログラム、振動及び／又は騒音の発生地点抽出装置、並びに振動及び／又は騒音の発生地点抽出方法
JP2018109818A (ja) * 2016-12-28 2018-07-12 本田技研工業株式会社 情報処理システム、および情報処理方法
JP2019049932A (ja) * 2017-09-12 2019-03-28 ヤフー株式会社 生成装置、生成方法及び生成プログラム
JP2021009628A (ja) * 2019-07-02 2021-01-28 ヤフー株式会社 推定装置、推定方法及び推定プログラム
JP7430835B1 (ja) 2023-04-19 2024-02-13 パシフィックコンサルタンツ株式会社 プログラム、方法、およびシステム

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11237007B2 (en) * 2019-03-12 2022-02-01 Here Global B.V. Dangerous lane strands

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005352615A (ja) * 2004-06-09 2005-12-22 Hitachi Ltd プローブカーを用いた交通量管理エリアの交通量制御システム及びプローブカー情報収集配信センタ
JP2008134957A (ja) * 2006-11-29 2008-06-12 Hitachi Software Eng Co Ltd 交通情報処理システム
JP2008299371A (ja) * 2007-05-29 2008-12-11 Mitsubishi Research Institute Inc 移動履歴調査システム、サーバ及びそのプログラム
JP2009110234A (ja) * 2007-10-30 2009-05-21 Zenrin Datacom Co Ltd 端末装置、分析サーバ、プローブ情報分析システムおよび方法。
JP2009251758A (ja) * 2008-04-02 2009-10-29 Toyota Motor Corp 歩車間通信装置、携帯端末
JP2010210284A (ja) * 2009-03-06 2010-09-24 Denso Corp 交通管理装置および交通管理方法
JP2010277491A (ja) * 2009-05-30 2010-12-09 Toshiaki Odate 移動ルート作成および登録方法
JP2011119990A (ja) * 2009-12-03 2011-06-16 Zenrin Datacom Co Ltd プローブ情報収集システム、プローブ情報収集方法、及びプログラム

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005352615A (ja) * 2004-06-09 2005-12-22 Hitachi Ltd プローブカーを用いた交通量管理エリアの交通量制御システム及びプローブカー情報収集配信センタ
JP2008134957A (ja) * 2006-11-29 2008-06-12 Hitachi Software Eng Co Ltd 交通情報処理システム
JP2008299371A (ja) * 2007-05-29 2008-12-11 Mitsubishi Research Institute Inc 移動履歴調査システム、サーバ及びそのプログラム
JP2009110234A (ja) * 2007-10-30 2009-05-21 Zenrin Datacom Co Ltd 端末装置、分析サーバ、プローブ情報分析システムおよび方法。
JP2009251758A (ja) * 2008-04-02 2009-10-29 Toyota Motor Corp 歩車間通信装置、携帯端末
JP2010210284A (ja) * 2009-03-06 2010-09-24 Denso Corp 交通管理装置および交通管理方法
JP2010277491A (ja) * 2009-05-30 2010-12-09 Toshiaki Odate 移動ルート作成および登録方法
JP2011119990A (ja) * 2009-12-03 2011-06-16 Zenrin Datacom Co Ltd プローブ情報収集システム、プローブ情報収集方法、及びプログラム

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015170385A1 (fr) * 2014-05-08 2015-11-12 株式会社日立製作所 Système d'identification de moyens de transport, procédé d'identification de moyens de transport, et support de stockage non transitoire lisible par ordinateur
JP2018059884A (ja) * 2016-10-07 2018-04-12 日本無線株式会社 物標識別装置、プログラム及び方法
JP2018106287A (ja) * 2016-12-22 2018-07-05 富士通株式会社 振動及び／又は騒音の発生地点抽出プログラム、振動及び／又は騒音の発生地点抽出装置、並びに振動及び／又は騒音の発生地点抽出方法
JP2018109818A (ja) * 2016-12-28 2018-07-12 本田技研工業株式会社 情報処理システム、および情報処理方法
JP2019049932A (ja) * 2017-09-12 2019-03-28 ヤフー株式会社 生成装置、生成方法及び生成プログラム
JP2021009628A (ja) * 2019-07-02 2021-01-28 ヤフー株式会社 推定装置、推定方法及び推定プログラム
JP7430835B1 (ja) 2023-04-19 2024-02-13 パシフィックコンサルタンツ株式会社 プログラム、方法、およびシステム

Also Published As

Publication number Publication date
JPWO2014061136A1 (ja) 2016-09-05
JP5964981B2 (ja) 2016-08-03

Similar Documents

Publication Publication Date Title
WO2014061136A1 (fr) Système permettant de générer des informations de trafic de sonde et procédé permettant de générer des informations de trafic de sonde
US20160078757A1 (en) Map generation system, map generation device, map generation method, and program
US11087566B2 (en) Determining vehicle service timeframes based on vehicle data
JP2014198974A (ja) 路面変化算出プログラム、路面変化算出方法および路面変化算出装置
JP2016217084A (ja) 路面状況計測システム、路面状況計測方法並びに路面状況計測プログラム
US20150300828A1 (en) Cooperative learning method for road infrastructure detection and characterization
CN106357707A (zh) 一种信息处理方法、服务器、终端、车载终端及系统
US11530932B2 (en) Method of characterizing the condition of a road
WO2017018031A1 (fr) Programme d'extraction de données de voyage, procédé d'extraction de données de voyage, et dispositif d'extraction de données de voyage
US20160076991A1 (en) Methods and systems for monitoring roadway parameters
JP7106206B2 (ja) 障害情報提供システム、情報処理装置、障害情報提供方法
JP6931159B2 (ja) 交通予測プログラム、交通予測装置、及び交通予測方法
EP3719448A1 (fr) Système de détermination de méthode de déplacement et procédé de détermination de méthode de mouvement
CN103791908B (zh) 用于更新和用于检验导航数据库的数据记录的方法
JP6631006B2 (ja) データ出力プログラム、データ出力方法及びデータ出力装置
JP5513362B2 (ja) 速度情報生成装置、速度情報生成方法、渋滞情報生成装置及びプログラム
TWI532618B (zh) 道路路面異常點收集系統及道路路面異常點收集方法
JP4401115B2 (ja) 移動体の走行速度提示方法
JP2006023886A (ja) 交通情報システム
Limkar et al. Small effort to build Pune as a smart city: Smart real-time road condition detection and efficient management system
KR20150069861A (ko) 트래픽 데이터 통합 시스템 및 방법
US20210370957A1 (en) Method, apparatus, and system for determining vehicle information based on inertial measurement unit sensor data
Nauman Mazhar et al. Mobile crowdsensing application of road condition detection
EP4093063B1 (fr) Procédé, appareil et produit programme informatique permettant de quantifier le risque des données de trajectoire pour la vie privée
JP2014163740A (ja) 通過検知システム、通過検知方法、通過検知装置、プログラム、及び記録媒体

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 12886809

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2014541880

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 12886809

Country of ref document: EP

Kind code of ref document: A1