WO2014049843A1 - Navigation device - Google Patents

Navigation device Download PDF

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Publication number
WO2014049843A1
WO2014049843A1 PCT/JP2012/075133 JP2012075133W WO2014049843A1 WO 2014049843 A1 WO2014049843 A1 WO 2014049843A1 JP 2012075133 W JP2012075133 W JP 2012075133W WO 2014049843 A1 WO2014049843 A1 WO 2014049843A1
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WO
WIPO (PCT)
Prior art keywords
vehicle
estimated
information
traveling direction
probe data
Prior art date
Application number
PCT/JP2012/075133
Other languages
French (fr)
Japanese (ja)
Inventor
崇志 入江
久美 西橋
Original Assignee
三菱電機株式会社
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 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to PCT/JP2012/075133 priority Critical patent/WO2014049843A1/en
Priority to JP2014538041A priority patent/JPWO2014049843A1/en
Publication of WO2014049843A1 publication Critical patent/WO2014049843A1/en

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096805Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
    • G08G1/096811Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
    • G08G1/096816Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard where the complete route is transmitted to the vehicle at once
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096833Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
    • G08G1/09685Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the complete route is computed only once and not updated
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096877Systems involving transmission of navigation instructions to the vehicle where the input to the navigation device is provided by a suitable I/O arrangement
    • G08G1/096888Systems involving transmission of navigation instructions to the vehicle where the input to the navigation device is provided by a suitable I/O arrangement where input information is obtained using learning systems, e.g. history databases
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/123Traffic 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
    • G08G1/127Traffic 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 to a central station ; Indicators in a central station
    • G08G1/13Traffic 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 to a central station ; Indicators in a central station the indicator being in the form of a map

Definitions

  • the present invention relates to a navigation apparatus, and more particularly to vehicle route estimation in a state where a destination and a route are not set.
  • a navigation device that can be mounted on a vehicle has a function of providing driving support information such as traffic information to a user (driver) and a vehicle control system in addition to functions of route search and route guidance from the current location to the destination. There is something to do.
  • the latter function provides information on the road along the route from the current location to the set destination to the driver and the vehicle control system.
  • the driver will drive without searching for the route to the destination with the navigation device.
  • the navigation device when the destination and route are not set, it is not possible to know what route the vehicle will take, and thus the driving support information providing function cannot be effectively functioned.
  • probe data data such as position information from a plurality of vehicles called “probe cars” and generates driving support information such as traffic information
  • probe cars for example, a system that collects data (probe data) such as position information from a plurality of vehicles called “probe cars” and generates driving support information such as traffic information
  • probe car for example, a business vehicle such as a taxi or a contracted ordinary private vehicle is used.
  • Patent Document 1 discloses a technique for generating a route of a vehicle using probe data, but this technique is to obtain an alternative route for a route that has been set, and the destination and route are not set. It is not possible to estimate the travel route.
  • the present invention has been made to solve the above-described problems, and provides a navigation device capable of estimating the traveling direction of a vehicle at each intersection with high accuracy in a state where a destination and a route are not set. With the goal.
  • the navigation device includes a statistical probe data acquisition unit that acquires statistical probe data obtained by statistically processing a plurality of probe data including a travel history of a probe car, and the estimated progress of the vehicle at each intersection based on the statistical probe data.
  • An estimation information generation unit that calculates a direction.
  • the traveling direction with a high probability that the vehicle (probe car) has actually traveled is estimated as the traveling direction of the host vehicle, the traveling direction can be estimated with high accuracy. Further, since the reliability of the statistical probe data is improved as the number of accumulated probe data samples is increased, an effect of increasing the accuracy of estimation can be expected.
  • FIG. 1 is a schematic configuration diagram of a navigation system according to an embodiment of the present invention. It is a figure which shows the example of the data structure of probe data. It is a figure which shows the example of the data structure of probe data relevant information. It is a figure which shows the example of statistical probe data (data of the advancing direction ratio). It is a figure which shows the road network containing the intersection (node) corresponding to the statistical probe data of FIG. It is a block diagram which shows the function structure of an information center. It is a flowchart which shows the production
  • FIG. 1 is a schematic configuration diagram of a navigation system according to the present embodiment.
  • the navigation system includes an information center 10, a plurality of probe cars 21 including an in-vehicle terminal 20 that transmits probe data to the information center 10, and a vehicle 31 including a navigation device 30 according to the present invention.
  • the information center 10, the in-vehicle terminal 20 of the probe car 21, and the navigation device 30 of the vehicle 31 can communicate with each other by communication means such as a mobile phone.
  • the in-vehicle terminal 20 of the probe car 21 acquires probe data including a travel history while the probe car 21 travels, and transmits it to the information center 10 as needed.
  • FIG. 2 is a diagram showing an example of the data structure of probe data.
  • the probe data is “vehicle ID” that is identification information of the probe car 21 that acquired the probe data, the date and time when the probe data was acquired, and the “latitude” indicating the position of the probe car 21 at the date and time. ”And“ longitude ”, and“ link ID ”that is identification information of the road on which the probe car 21 was traveling at the date and time.
  • the road network data includes “node” data representing points on the map such as intersections and “link” data representing roads connecting the nodes. Is assigned a unique node ID, and each link is assigned a unique link ID.
  • the probe data includes information on the date and time (date and time) when it was acquired and information on the position (latitude, longitude, and link ID) of the probe car 21 at that date and time. Therefore, by referring to a series of probe data acquired by a specific probe car 21, the position of the probe car 21 at each date and time can be known, and a route traveled by the probe car 21, that is, a travel history can be obtained.
  • the in-vehicle terminal 20 of the probe car 21 transmits probe data related information, which is information accompanying the probe data, to the information center 10 together with the probe data.
  • FIG. 3 is a diagram illustrating an example of a data structure of probe data related information.
  • the probe data related information includes “vehicle ID” of the probe car 21, “owner name”, “owner address”, and “owner telephone number”, which are information of the owner of the probe car 21.
  • “Local area” which is information on the region attribute indicating the main use area of the probe car 21, "Driver information” indicating the attribute information (gender, etc.) of the driver of the probe car 21, and at the time of probe data acquisition It includes weather information “weather” and “temperature”, “vehicle type” indicating the type of the probe car 21 (such as large car / small car), and “vehicle number” of the probe car 21. .
  • the information center 10 statistically processes the probe data acquired from the plurality of probe cars 21 and stores the statistically processed data (hereinafter referred to as “statistical probe data”). In the present embodiment, it is assumed that the information center 10 generates “traveling direction ratio” data indicating the ratio of the probe car 21 traveling in each direction at each intersection as the statistical probe data.
  • FIG. 4 is a diagram showing an example of statistical probe data (data on the traveling direction ratio).
  • a probe that has entered the intersection of the node ID “00012356” from the road with the link ID “00120”.
  • the traveling direction ratio of the car 21 is shown.
  • the traveling direction ratio is calculated according to various conditions using the item of probe data related information (FIG. 3).
  • a traveling direction ratio is calculated for each condition.
  • FIG. 6 is a block diagram showing a functional configuration of the information center 10.
  • the information center 10 is configured by a general-purpose computer system, for example, and each element shown in FIG. 6 is realized by the computer system executing a program.
  • the information center 10 includes a probe data transmission / reception unit 101, a probe data statistical processing unit 102, a statistical probe data storage unit 103, and a map data storage unit 104.
  • the probe data transmission / reception unit 101 transmits statistical probe data to the navigation device 30 in response to a function of receiving probe data transmitted from the vehicle-mounted terminal 20 of the probe car 21 as needed and a request from the navigation device 30 of the vehicle 31. It has the function to do.
  • the probe data statistical processing unit 102 has a function of creating statistical probe data by collecting probe data acquired by the probe data transmitting / receiving unit 101 and performing statistical processing.
  • the statistical probe data created by the probe data statistical processing unit 102 is stored in the statistical probe data storage unit 103.
  • the map data storage unit 104 stores map data including road network data.
  • the probe data statistical processing unit 102 associates the map data stored in the map data storage unit 104 with the statistical probe data as necessary.
  • FIG. 7 is a flowchart showing statistical probe data generation processing in the information center 10.
  • the in-vehicle terminal 20 of the probe car 21 transmits probe data and probe data related information as needed, and the information center 10 performs the operation of FIG. 7 each time they are received.
  • the probe data statistical processing unit 102 obtains the probe car 21 obtained from the probe data. Are compared with the map data stored in the map data storage unit 104 to confirm in which direction the probe car 21 has advanced at each intersection. Then, a new traveling direction ratio is calculated by adding it to the traveling direction ratio data as a new sample (step S13). At this time, the probe data statistical processing unit 102 refers to the probe data related information received together with the probe data, and calculates the traveling direction ratio according to various conditions as shown in FIG.
  • the probe data statistical processing unit 102 stores the newly calculated traveling direction ratio data in the statistical probe data storage unit 103 (step S14). As a result, the traveling direction ratio data stored in the statistical probe data storage unit 103 is updated.
  • the calculation and update of the traveling direction ratio need not be performed every time one piece of probe data is received. For example, it may be performed every time a predetermined number of received probe data is accumulated. Alternatively, it may be performed at a predetermined cycle.
  • the navigation device 30 of the vehicle 31 will be described.
  • the vehicle 31 on which the navigation device 30 is mounted is referred to as “own vehicle”.
  • the navigation device 30 requests the information center 10 to transmit statistical probe data as necessary, and estimates the traveling direction or traveling route of the vehicle at each intersection based on the statistical probe data received from the information center 10. have.
  • the navigation device 30 generates information (driving support information) for supporting driving of the host vehicle based on the estimated traveling direction (estimated traveling direction) or the estimated traveling route (estimated traveling route). Can be notified to the user (driver) or the vehicle control system of the own vehicle.
  • FIG. 8 is a block diagram showing a functional configuration of the navigation device 30.
  • the navigation device 30 includes a statistical probe data acquisition unit 301, a data acquisition condition setting unit 302, an estimation information generation unit 303, an estimation information storage unit 304, a map data storage unit 305, a current position calculation unit 306, a travel history storage unit 307, A driving support information generation unit 308, a driving support information storage unit 309, a driving support information notification unit 310, a user notification unit 311, and a control unit 312 are included.
  • the navigation device 30 is connected to a vehicle control system 32 that controls the traveling of the host vehicle.
  • the statistical probe data acquisition unit 301 has a function of accessing the information center 10 and acquiring statistical probe data.
  • the data acquisition condition setting unit 302 has a function of setting a condition (data acquisition condition) of statistical probe data acquired by the statistical probe data acquisition unit 301 from the information center 10. That is, the statistical probe data acquisition unit 301 operates to selectively acquire statistical probe data that meets the data acquisition conditions set by the data acquisition condition setting unit 302.
  • the estimated information generation unit 303 has a function of calculating the estimated traveling direction of the own vehicle and the reliability thereof at the intersection ahead of the own vehicle based on the statistical probe data acquired by the statistical probe data acquiring unit 301.
  • the estimated traveling direction is a road (link ID) having the highest traveling direction ratio in consideration of the state of the host vehicle. Further, the reliability of the estimated traveling direction can be expressed by the value (%) of the traveling direction ratio.
  • the estimated information generation unit 303 connects the roads in the estimated traveling direction at each intersection by repeatedly calculating the estimated traveling direction for the intersection ahead of the intersection ahead of the host vehicle in the estimated traveling direction. The reliability according to the estimated traveling route of the own vehicle and the passing probability of the route can also be obtained.
  • the estimated information generation unit 303 obtains estimated information in which the node ID indicating the intersection ahead of the host vehicle, the link ID of the road entering the intersection, the link ID indicating the road in the estimated traveling direction, and the reliability thereof are associated with each other. It is generated and stored in the estimated information storage unit 304.
  • FIG. 9 is an example of the estimation information generated by the estimation information generation unit 303, and assumes a state in which the vehicle is traveling on the road network shown in FIG.
  • the estimated traveling direction of the own vehicle is the road with the link ID “00515”, and the trust The degree is 80%.
  • the estimated traveling direction of the own vehicle is the road with the link ID “00517”, and its reliability is It shows that it is 60%.
  • the estimated traveling route of the host vehicle is obtained as a route connecting the roads with link IDs “00001”, “00002”, “00515”, “00516”, and “00517”.
  • the map data storage unit 305 stores map data including road network data.
  • the estimated information generation unit 303 uses the map data stored in the map data storage unit 305 as necessary.
  • FIG. 11 is a diagram illustrating an example of map data to be considered when the estimated information generation unit 303 obtains the estimated traveling direction.
  • the direction with the highest traveling direction ratio may be set as the estimated traveling direction after multiplying the traveling direction ratio by the respective coefficient for the direction meeting the conditions of FIG.
  • the traveling direction ratio By multiplying the traveling direction ratio by the coefficient in FIG. 11, “the vehicle has a high probability of continuing on the road with the same name”, “the probability of exiting in a direction close to straight ahead at the intersection”, “the vehicle is of the same type (national road) , Prefectural roads, expressways, toll roads, etc.) are likely to continue to run.
  • the map data stored in the map data storage unit 305 is also used for a route search or the like when the navigation device 30 performs a navigation operation for guiding the vehicle from the current location to the destination. Since it is assumed that the state is not set, description of the navigation operation is omitted here.
  • the current position calculation unit 306 has a function of calculating the position of the own vehicle (the road on which the vehicle is traveling).
  • the own vehicle position is acquired from the position information such as latitude and longitude obtained from the GPS (Global Positioning System) receiver, the vehicle speed information obtained from the vehicle speed sensor, the direction information obtained from the direction sensor, and the map data storage unit 305. Calculated using map data.
  • the current position calculation unit 306 stores the calculated vehicle position in the travel history storage unit 307 as a travel history along the time series.
  • the estimated information generation unit 303 can identify an intersection ahead of the vehicle from the vehicle position calculated by the current position calculation unit 306 and the map data stored in the map data storage unit 305.
  • the driving support information generation unit 308 uses the map data stored in the map data storage unit 305 based on the estimation information stored in the estimation information storage unit 304, and traffic existing on the road corresponding to the estimated traveling direction. It has a function of generating driving support information including information on an event and its location.
  • the “traffic event” referred to here includes events affecting the driving of the vehicle such as a traffic shape, a traffic accident, road construction, a road shape (for example, a curve or a slope), and weather.
  • the traffic event information can be acquired from the outside by communication, but the road shape information may be included in the map data in the map data storage unit 305.
  • the driving support information generated by the driving support information generation unit 308 is stored in the driving support information storage unit 309.
  • FIG. 12 is a diagram illustrating an example of the driving support information generated by the driving support information generating unit 308.
  • the driving support information in FIG. 12 indicates that the traffic event “uphill” exists at a position 30% from the start point (node) of the road with the link ID “00515” (equivalent to latitude: 34.701909, longitude: 135.494977). Yes.
  • the driving support information notifying unit 310 has a function of notifying the driving support information stored in the driving support information storage unit 309 to the user or the vehicle control system 32 at a predetermined timing.
  • the notification to the user is performed through a user notification unit 311 that converts the driving support information into voice, text, or an image and outputs it.
  • the driving support information notifying unit 310 collates the vehicle position calculated by the current position calculating unit 306 with the position of the traffic event related to the driving support information stored in the driving support information storage unit 309.
  • the driving support information is notified at the timing when the position falls within a predetermined distance from the event position.
  • control unit 312 The operation of each element described above is controlled by the control unit 312 in an integrated manner.
  • FIG. 13 is a block diagram showing a hardware configuration of the navigation device 30 shown in FIG.
  • the navigation device 30 as hardware includes a statistical probe data receiver 351, a storage device 352, a display device 353, an audio output device 354, and a control unit 355.
  • the navigation device 30 is connected to a vehicle control system 32, a GPS receiver 33, a direction sensor 34, a distance sensor 35, and an information communication device 36.
  • the statistical probe data receiver 351 is means for receiving statistical probe data from the information center 10 through communication with the probe data transmission / reception unit 101 (FIG. 6) of the information center 10, and serves as the statistical probe data acquisition unit 301 of FIG. Function.
  • the storage device 352 is a means for storing various data, and functions as the estimated information storage unit 304, the map data storage unit 305, the travel history storage unit 307, and the driving support information storage unit 309 in FIG.
  • the display device 353 is a means for displaying text and images for notifying the user of driving support information, and is configured by a liquid crystal display, for example.
  • the audio output device 354 is a unit that outputs audio for notifying the user of driving support information, and is configured by, for example, a speaker.
  • the display device 353 and the audio output device 354 function as the user notification unit 311 in FIG.
  • the control unit 355 performs overall control of the navigation device and various calculations, and corresponds to the control unit 312 in FIG.
  • the data acquisition condition setting unit 302, the estimation information generation unit 303, the current position calculation unit 306, the driving support information generation unit 308, and the driving support information notification unit 310 of FIG. 8 are realized by the control unit 355 executing a program. Is done.
  • the control unit 355 includes a CPU (Central Processing Unit) 360, a ROM (Read Only Memory) 361, a RAM (Random Access Memory) 362, a display control unit 363, and an I / O (input / output) unit 364.
  • the CPU 360 is a means for executing a program for calculating the current position of the host vehicle, the estimated traveling direction and the estimated traveling route, and generating driving support information.
  • the ROM 361 is a memory that stores program constants and the like used by the CPU 360 in the course of operation.
  • the RAM 362 is a memory in which programs, map data, and the like are developed and calculation results are written in the course of processing by the CPU 360.
  • the display control unit 363 controls the screen display of the display device 353, and the I / O unit 364 includes the devices 351 to 354 in the navigation device 30 and the vehicle control system 32 connected to the navigation device 30, GPS reception This is an interface among the machine 33, the direction sensor 34, the distance sensor 35, and the information communication device 36.
  • the GPS receiver 33 is means for detecting the position (latitude, longitude) of the vehicle 31 on which the navigation device 30 is mounted based on radio waves from an artificial satellite.
  • the direction sensor 34 is a means for detecting the direction of the vehicle 31, and the distance sensor 35 is a means for detecting the moving distance of the moving body. Information acquired by the GPS receiver 33, the azimuth sensor 34, and the distance sensor 35 is used for calculation of the position of the vehicle 31 (the running road) in the current position calculation unit 306 in FIG.
  • the information communication device 36 is means for acquiring information on traffic events transmitted from the outside.
  • the information communication device 36 may be constituted by a general-purpose communication device such as a mobile phone or a smartphone, or may receive a TMC (Traffic Message Channel) reception.
  • a dedicated communication device for the purpose of acquiring traffic event information such as a VICS (Vehicle Information and Communications System) (registered trademark) receiver.
  • Information on the traffic event acquired by the information communication device 36 is used to generate driving support information in the driving support information generation unit 308 of FIG.
  • FIG. 14 is a flowchart showing an estimation information generating operation in the navigation device 30. This operation is executed when the destination and route are not routed to the navigation device 30.
  • the navigation device 30 uses the current position calculation unit 306 to calculate the vehicle position (the road on which the vehicle is traveling) (step S21). Further, the obtained vehicle position is stored in the travel history storage unit 307 as a travel history along the time series. Next, the vehicle position and the map data stored in the map data storage unit 305 are collated to identify an intersection ahead of the vehicle (step S22). When the intersection ahead of the host vehicle is specified, it is confirmed whether or not the estimation information for entering the intersection from the host vehicle position is stored in the estimation information storage unit 304 (step S23). If the estimated information of the intersection ahead of the host vehicle is stored (YES in step S23), the process proceeds to step S27 described later.
  • the navigation device 30 uses the statistical probe data acquisition unit 301 to transmit the travel direction ratio data (statistical probe data) from the information center 10. Is acquired (step S24). At this time, the statistical probe data acquisition unit 301 requests the information center 10 to transmit data that meets the data acquisition conditions set by the data acquisition condition setting unit 302.
  • FIG. 15 is a diagram illustrating an example of data acquisition conditions set by the data acquisition condition setting unit 302.
  • the data of the traveling direction ratio is divided into items according to various conditions, but information on the own vehicle for the items is set in the data acquisition conditions.
  • the data acquisition conditions in FIG. 15 include the items of driver information, time, and passing point link ID, similar to the estimated traveling direction data in FIG. 4, and the data acquisition condition setting unit 302 sets these items.
  • the gender of the driver of the own vehicle, the current time, and the link ID of the road through which the own vehicle has passed are set as condition values.
  • a priority order is set for each item of the data acquisition condition.
  • the statistical probe data acquisition unit 301 is a vehicle (probe car) that has passed the road with the link ID “14533” with respect to the information center 10 where the driver is male.
  • the data of the advancing direction ratio of the intersection ahead of the own vehicle in the time zone including 8 o'clock is requested.
  • the reliability is low. Therefore, the low priority item is deleted from the data acquisition conditions, and the information center 10 proceeds again. It is advisable to acquire direction ratio data.
  • the items of the data acquisition conditions are not limited to those shown in FIG. 15, but date information (including season and day information), time information, weather information, own vehicle type, driver type, own vehicle type It is conceivable to use at least one of the regional attribute and the passing route of the own vehicle. For example, each item of probe data related information (FIG. 3) may be sufficient. In FIG. 15, only one link ID indicating a passing point is set, but a plurality of link IDs may be set.
  • the probability that the host vehicle will travel is the highest based on the traveling direction ratio data using the estimated information generation unit 303.
  • the higher direction is calculated and used as the estimated traveling direction.
  • the probability value (%) is set as the reliability of the estimated traveling direction (step S25). Since the data of the traveling direction ratio used here is selectively acquired according to the data acquisition condition, as a result, the estimated traveling direction calculated by the estimated information generation unit 303 is each item of the data acquisition condition. The vehicle information about the vehicle will be taken into account. Further, as described with reference to FIG. 11, map data stored in the map data storage unit 305 may be taken into consideration when obtaining the estimated traveling direction.
  • the estimation information generation unit 303 includes a node ID indicating an intersection ahead of the host vehicle, a link ID of a road entering the intersection, a link ID indicating a road in the estimated traveling direction at the intersection, and reliability of the estimated traveling direction. And the estimated information that associates with each other are generated and stored in the estimated information storage unit 304 (step S26).
  • the navigation device 30 confirms whether or not the estimated information from the own vehicle to the intersection ahead of the predetermined distance is stored in the estimated information storage unit 304 (step S27).
  • step S27 If the estimated information from the own vehicle to the intersection at a predetermined distance is not stored (NO in step S27), the process returns to step S21.
  • the estimated information generation unit 303 identifies the previous intersection that has left the intersection that generated the previous estimated information in the estimated traveling direction as the “front intersection”.
  • steps S21 to S27 are repeated until the estimated information from the own vehicle to the intersection ahead of the predetermined distance is stored in the estimated information storage unit 304.
  • estimated information about a plurality of intersections ahead of the host vehicle is accumulated in the estimated information storage unit 304, and the navigation device 30 refers to them to estimate the roads in the estimated traveling direction at the plurality of intersections. You will be able to get the route.
  • step S27 If estimated information from the own vehicle to the intersection at a predetermined distance is stored (YES in step S27), the navigation device 30 waits until the own vehicle passes the intersection (step S28), and if the vehicle passes the intersection. (YES in step S28), the process returns to step S21. Also in this case, in the next step S22, the estimation information generation unit 303 identifies the previous intersection that has left the intersection that generated the previous estimation information in the estimated traveling direction as the “front intersection”.
  • FIG. 16 is a flowchart showing a notification process of driving support information (FIG. 12) in the navigation device 30. This operation is executed in parallel with the estimation information generation process shown in FIG. 14 when the destination and route are not set in the navigation device 30.
  • the navigation device 30 confirms whether or not driving support information is stored in the driving support information storage unit 309 (step S31).
  • step S31 If the driving support information is not stored (NO in step S31), the process proceeds to step S35 described later.
  • the current position calculation unit 306 calculates the vehicle position (step S32). Then, the driving support information notification unit 310 determines whether it is time to notify the driving support information (step S33). As described above, the timing at which the driving support information notification unit 310 notifies the driving support information is when the vehicle enters a range within a predetermined distance from the position of the traffic event related to the driving support information.
  • the driving support information notifying unit 310 notifies the user (driver) or the vehicle control system 32 of the driving support information (step S34). Thereby, the driving assistance information corresponding to the estimated traveling direction is notified to the user or the vehicle control system 32.
  • the user who receives the notification of the driving support information can know in advance the occurrence of a traffic event on a road where the own vehicle is likely to pass.
  • the vehicle control system 32 that has received the notification of the driving support information can perform vehicle control assuming that the traffic event is encountered.
  • step S34 If it is not time to notify the driving support information (NO in step S33), the driving support information is not notified (step S34).
  • the driving support information generation unit 308 confirms whether the generation of driving support information has been completed for all traffic events on the road corresponding to the estimated traveling direction of the estimated information stored in the estimated information storage unit 304 ( Step S35). If the generation of the driving support information has been completed (YES in step S35), the process returns to step S31.
  • step S35 the driving support information generating unit 308, the estimated information stored in the estimated information storage unit 304, the traffic event acquired by communication or the like and its position, Based on, driving support information for all traffic events on the road corresponding to the estimated traveling direction of the estimated information is generated (step S36).
  • the driving support information is not generated.
  • the navigation device 30 stores the driving support information generated by the driving support information generation unit 308 in the driving support information storage unit 309, and returns to step S31.
  • the estimated traveling direction is calculated using statistical probe data obtained by statistically processing probe data acquired from a plurality of probe cars. Since the traveling direction with a high probability that the vehicle will actually travel is estimated, estimation with high accuracy becomes possible. Further, as the number of probe data samples accumulated in the information center increases, the reliability of the statistical probe data is improved, so that an effect that the estimation accuracy can be increased can be expected.
  • the estimation information generation unit 303 calculates only one direction with the highest probability that the host vehicle travels as the estimated travel direction. However, a plurality of estimated traveling directions having a high probability of traveling by the host vehicle may be ranked and calculated according to the probability value (reliability).
  • a plurality of tree-shaped estimated traveling paths are obtained. Also good.
  • the plurality of estimated traveling routes are also ranked according to the probability value (reliability) of the vehicle traveling.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Mathematical Physics (AREA)
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  • Traffic Control Systems (AREA)

Abstract

A navigation system includes an information center (10), a probe car (21), and a vehicle (31). The probe car (21) is provided with an onboard terminal (20) that transmits probe data including running history to the information center (10). The information center (10) generates statistical probe data by statistically processing the probe data, and memorizes the generated data. The vehicle (31) is provided with a navigation device (30) that acquires the statistical probe data from the information center (10), and that calculates an estimated direction of travel of the vehicle at each intersection on the basis of the statistical probe data.

Description

ナビゲーション装置Navigation device
 本発明はナビゲーション装置に関し、特に、目的地および経路が未設定の状態における車両の経路推定に関するものである。 The present invention relates to a navigation apparatus, and more particularly to vehicle route estimation in a state where a destination and a route are not set.
 車両に搭載可能なナビゲーション装置には、現在地から目的地までの経路探索および経路案内の機能の他に、交通情報などの運転支援情報をユーザ(運転者)や車両制御システムに提供する機能を有しているものがある。後者の機能は、現在地から設定された目的地までの経路に沿った道路に関する情報を、運転者や車両制御システムに提供するものである。 A navigation device that can be mounted on a vehicle has a function of providing driving support information such as traffic information to a user (driver) and a vehicle control system in addition to functions of route search and route guidance from the current location to the destination. There is something to do. The latter function provides information on the road along the route from the current location to the set destination to the driver and the vehicle control system.
 通常、運転者が地元の地域で車両を運転する場合など、運転者が現在地から目的地までの経路を知っている場合、運転者はナビゲーション装置で目的地までの経路探索を行わずに運転することが多い。従来のナビゲーション装置は、目的地および経路が未設定の状態では、車両がどのような経路を通るか分からないため、運転支援情報の提供機能を有効に機能させることができなかった。 Usually, if the driver knows the route from the current location to the destination, such as when the driver is driving a vehicle in the local area, the driver will drive without searching for the route to the destination with the navigation device. There are many cases. In the conventional navigation device, when the destination and route are not set, it is not possible to know what route the vehicle will take, and thus the driving support information providing function cannot be effectively functioned.
 一方、「プローブカー」と呼ばれる複数の車両から位置情報等のデータ(プローブデータ)を収集し、交通情報などの運転支援情報を生成するシステムが知られている(例えば下記の特許文献1)。プローブカーとしては、例えばタクシーなどの営業車や、契約した一般の自家用車などが利用される。 On the other hand, a system that collects data (probe data) such as position information from a plurality of vehicles called “probe cars” and generates driving support information such as traffic information is known (for example, Patent Document 1 below). As the probe car, for example, a business vehicle such as a taxi or a contracted ordinary private vehicle is used.
特開2009-2817号公報JP 2009-2817 A
 目的地および経路が未設定の状態でも、運転支援情報の提供機能を有効に機能させるために、車両の進行経路を推定する技術が望まれる。 Even if the destination and route are not set, a technology for estimating the traveling route of the vehicle is desired in order to make the driving support information providing function function effectively.
 一般に、運転者は車両を道なりに走行させることが多いため、各交差点では、直進に近い道路や、現在走行中の道路と同じ名称の道路へ進む確率が高い。そのため「道路の直行性」や「道路名称の連続性」に基づき、各交差点での車両の進行方向(交差点からの脱出方向)を推定して、車両の進行経路を推定する手法も考えられる。しかし、その手法では推定の精度を上げることは困難である。 In general, since the driver often drives the vehicle along a road, there is a high probability that each intersection will proceed to a road that is close to straight or has the same name as a road that is currently running. Therefore, a method of estimating the traveling path of the vehicle by estimating the traveling direction of the vehicle at each intersection (the exit direction from the intersection) based on “straightness of the road” or “continuity of the road name” may be considered. However, it is difficult to increase the accuracy of estimation by this method.
 特許文献1には、プローブデータを用いて車両の経路を生成する技術が開示されているが、この技術は設定済みの経路の代替経路を求めるものであり、目的地および経路が未設定の状態で進行経路を推定することはできない。 Patent Document 1 discloses a technique for generating a route of a vehicle using probe data, but this technique is to obtain an alternative route for a route that has been set, and the destination and route are not set. It is not possible to estimate the travel route.
 本発明は以上のような課題を解決するためになされたものであり、目的地および経路が未設定の状態において、各交差点での車両の進行方向を高い精度で推定できるナビゲーション装置を提供することを目的とする。 The present invention has been made to solve the above-described problems, and provides a navigation device capable of estimating the traveling direction of a vehicle at each intersection with high accuracy in a state where a destination and a route are not set. With the goal.
 本発明に係るナビゲーション装置は、プローブカーの走行履歴を含む複数のプローブデータを統計処理した統計プローブデータを取得する統計プローブデータ取得部と、統計プローブデータに基づき、各交差点における自車の推定進行方向を算出する推定情報生成部と、を備えるものである。 The navigation device according to the present invention includes a statistical probe data acquisition unit that acquires statistical probe data obtained by statistically processing a plurality of probe data including a travel history of a probe car, and the estimated progress of the vehicle at each intersection based on the statistical probe data. An estimation information generation unit that calculates a direction.
 本発明に係るナビゲーション装置によれば、実際に車両(プローブカー)が進行した確率の高い進行方向を自車の進行方向として推定するため、高い精度で進行方向の推定が可能になる。また、蓄積されるプローブデータのサンプル数が多くなるほど、統計プローブデータの信頼性が向上するため、推定の精度が高くなる効果が期待できる。 According to the navigation device of the present invention, since the traveling direction with a high probability that the vehicle (probe car) has actually traveled is estimated as the traveling direction of the host vehicle, the traveling direction can be estimated with high accuracy. Further, since the reliability of the statistical probe data is improved as the number of accumulated probe data samples is increased, an effect of increasing the accuracy of estimation can be expected.
 この発明の目的、特徴、態様、および利点は、以下の詳細な説明と添付図面とによって、より明白となる。 The objects, features, aspects, and advantages of the present invention will become more apparent from the following detailed description and the accompanying drawings.
本発明の実施形態に係るナビゲーションシステムの概略構成図である。1 is a schematic configuration diagram of a navigation system according to an embodiment of the present invention. プローブデータのデータ構造の例を示す図である。It is a figure which shows the example of the data structure of probe data. プローブデータ関連情報のデータ構造の例を示す図である。It is a figure which shows the example of the data structure of probe data relevant information. 統計プローブデータ(進行方向割合のデータ)の例を示す図である。It is a figure which shows the example of statistical probe data (data of the advancing direction ratio). 図4の統計プローブデータに対応する交差点(ノード)を含む道路網を示す図である。It is a figure which shows the road network containing the intersection (node) corresponding to the statistical probe data of FIG. 情報センタの機能構成を示すブロック図である。It is a block diagram which shows the function structure of an information center. 情報センタにおける統計プローブデータの生成処理を示すフローチャートである。It is a flowchart which shows the production | generation process of the statistical probe data in an information center. 本発明の実施形態に係るナビゲーション装置の機能構成を示すブロック図である。It is a block diagram which shows the function structure of the navigation apparatus which concerns on embodiment of this invention. 推定情報生成部が生成する推定情報の例を示す図である。It is a figure which shows the example of the estimation information which an estimation information generation part produces | generates. 図9の推定情報に対応する交差点(ノード)を含む道路網を示す図である。It is a figure which shows the road network containing the intersection (node) corresponding to the estimation information of FIG. 推定進行方向の算出の際に考慮する地図データの例を示す図である。It is a figure which shows the example of the map data considered in the case of calculation of an estimated advancing direction. 運転支援情報生成部が生成する運転支援情報の例を示す図である。It is a figure which shows the example of the driving assistance information which a driving assistance information generation part produces | generates. 本発明の実施形態に係るナビゲーション装置のハードウェア構成を示すブロック図である。It is a block diagram which shows the hardware constitutions of the navigation apparatus which concerns on embodiment of this invention. 本発明の実施形態に係るナビゲーション装置における推定情報の生成処理を示すフローチャートである。It is a flowchart which shows the production | generation process of the estimated information in the navigation apparatus which concerns on embodiment of this invention. データ取得条件設定部が設定するデータ取得条件の例を示す図である。It is a figure which shows the example of the data acquisition condition which a data acquisition condition setting part sets. 本発明の実施形態に係るナビゲーション装置における運転支援情報の通知処理を示すフローチャートである。It is a flowchart which shows the notification process of the driving assistance information in the navigation apparatus which concerns on embodiment of this invention.
 図1は、本実施の形態に係るナビゲーションシステムの概略構成図である。当該ナビゲーションシステムは、情報センタ10と、情報センタ10へプローブデータを送信する車載端末20を備える複数のプローブカー21と、本発明に係るナビゲーション装置30を備える車両31とから構成される。情報センタ10と、プローブカー21の車載端末20と、車両31のナビゲーション装置30とは、携帯電話などの通信手段により相互に通信可能である。 FIG. 1 is a schematic configuration diagram of a navigation system according to the present embodiment. The navigation system includes an information center 10, a plurality of probe cars 21 including an in-vehicle terminal 20 that transmits probe data to the information center 10, and a vehicle 31 including a navigation device 30 according to the present invention. The information center 10, the in-vehicle terminal 20 of the probe car 21, and the navigation device 30 of the vehicle 31 can communicate with each other by communication means such as a mobile phone.
 プローブカー21の車載端末20は、当該プローブカー21が走行する間、走行履歴を含むプローブデータを取得し、それを情報センタ10へ随時送信する。図2はプローブデータのデータ構造の例を示す図である。本実施の形態では、プローブデータが、当該プローブデータを取得したプローブカー21の識別情報である「車両ID」、当該プローブデータが取得された日時、その日時におけるプローブカー21の位置を示す「緯度」および「経度」、その日時にプローブカー21が走行していた道路の識別情報である「リンクID」を含んでいるものとする。なお、当該ナビゲーションシステムでは、道路網のデータは、交差点など地図上の地点を表す「ノード」のデータと、各ノード間を接続する道路を表す「リンク」のデータとを含んでおり、各ノードには固有のノードIDが割り振られ、各リンクには固有のリンクIDが割り振られている。 The in-vehicle terminal 20 of the probe car 21 acquires probe data including a travel history while the probe car 21 travels, and transmits it to the information center 10 as needed. FIG. 2 is a diagram showing an example of the data structure of probe data. In the present embodiment, the probe data is “vehicle ID” that is identification information of the probe car 21 that acquired the probe data, the date and time when the probe data was acquired, and the “latitude” indicating the position of the probe car 21 at the date and time. ”And“ longitude ”, and“ link ID ”that is identification information of the road on which the probe car 21 was traveling at the date and time. In the navigation system, the road network data includes “node” data representing points on the map such as intersections and “link” data representing roads connecting the nodes. Is assigned a unique node ID, and each link is assigned a unique link ID.
 このように、プローブデータは、それが取得された日時(日付および時刻)の情報と、その日時におけるプローブカー21の位置(緯度、経度、リンクID)の情報を含んでいる。よって、特定のプローブカー21が取得した一連のプローブデータを参照すれば、各日時における当該プローブカー21の位置が分かり、当該プローブカー21が走行した経路、すなわち走行履歴が得られる。 Thus, the probe data includes information on the date and time (date and time) when it was acquired and information on the position (latitude, longitude, and link ID) of the probe car 21 at that date and time. Therefore, by referring to a series of probe data acquired by a specific probe car 21, the position of the probe car 21 at each date and time can be known, and a route traveled by the probe car 21, that is, a travel history can be obtained.
 プローブカー21の車載端末20は、プローブデータと共に、それに付随する情報であるプローブデータ関連情報を情報センタ10へ送信する。図3は、プローブデータ関連情報のデータ構造の例を示す図である。本実施の形態では、プローブデータ関連情報が、プローブカー21の「車両ID」、当該プローブカー21の所有者の情報である「所有者氏名」、「所有者住所」および「所有者電話番号」、当該プローブカー21の主な使用地域を示す地域属性の情報である「地元エリア」、当該プローブカー21の運転者の属性情報(性別等)を示す「運転者情報」、プローブデータ取得時の気象情報である「天候」および「気温」、当該プローブカー21の種別(大型車/小型車の別など)を示す「車両タイプ」、当該プローブカー21の「車両ナンバー」を含んでいるものとする。 The in-vehicle terminal 20 of the probe car 21 transmits probe data related information, which is information accompanying the probe data, to the information center 10 together with the probe data. FIG. 3 is a diagram illustrating an example of a data structure of probe data related information. In the present embodiment, the probe data related information includes “vehicle ID” of the probe car 21, “owner name”, “owner address”, and “owner telephone number”, which are information of the owner of the probe car 21. "Local area" which is information on the region attribute indicating the main use area of the probe car 21, "Driver information" indicating the attribute information (gender, etc.) of the driver of the probe car 21, and at the time of probe data acquisition It includes weather information “weather” and “temperature”, “vehicle type” indicating the type of the probe car 21 (such as large car / small car), and “vehicle number” of the probe car 21. .
 情報センタ10は、複数のプローブカー21から取得したプローブデータを統計処理し、その統計処理したデータ(以下「統計プローブデータ」という)を記憶する。本実施の形態では、情報センタ10は、統計プローブデータとして、プローブカー21が各交差点でどのような割合で各方向へ進んだかを示す「進行方向割合」のデータを作成するものとする。 The information center 10 statistically processes the probe data acquired from the plurality of probe cars 21 and stores the statistically processed data (hereinafter referred to as “statistical probe data”). In the present embodiment, it is assumed that the information center 10 generates “traveling direction ratio” data indicating the ratio of the probe car 21 traveling in each direction at each intersection as the statistical probe data.
 図4は、統計プローブデータ(進行方向割合のデータ)の例を示す図であり、図5に示す道路網おいて、リンクID「00120」の道路からノードID「00012356」の交差点に進入したプローブカー21の進行方向割合を示している。進行方向割合は、プローブデータ関連情報(図3)の項目を用いて、様々な条件別に算出される。図5の例では、運転者情報(性別)、時刻、当該交差点までの通過点(通過した道路のリンクID)の各項目について、条件別に進行方向割合が算出されている。 FIG. 4 is a diagram showing an example of statistical probe data (data on the traveling direction ratio). In the road network shown in FIG. 5, a probe that has entered the intersection of the node ID “00012356” from the road with the link ID “00120”. The traveling direction ratio of the car 21 is shown. The traveling direction ratio is calculated according to various conditions using the item of probe data related information (FIG. 3). In the example of FIG. 5, for each item of driver information (gender), time, and a passing point to the intersection (link ID of a road that has passed), a traveling direction ratio is calculated for each condition.
 図6は、情報センタ10の機能構成を示すブロック図である。情報センタ10は、例えば汎用的なコンピュータシステムにより構成されており、図6に示す各要素は、コンピュータシステムがプログラムを実行することにより実現される。 FIG. 6 is a block diagram showing a functional configuration of the information center 10. The information center 10 is configured by a general-purpose computer system, for example, and each element shown in FIG. 6 is realized by the computer system executing a program.
 情報センタ10は、プローブデータ送受信部101、プローブデータ統計処理部102、統計プローブデータ記憶部103および地図データ記憶部104により構成される。 The information center 10 includes a probe data transmission / reception unit 101, a probe data statistical processing unit 102, a statistical probe data storage unit 103, and a map data storage unit 104.
 プローブデータ送受信部101は、プローブカー21の車載端末20から随時送られてくるプローブデータを受信する機能と、車両31のナビゲーション装置30からの要求に応じて統計プローブデータを当該ナビゲーション装置30へ送信する機能とを有している。 The probe data transmission / reception unit 101 transmits statistical probe data to the navigation device 30 in response to a function of receiving probe data transmitted from the vehicle-mounted terminal 20 of the probe car 21 as needed and a request from the navigation device 30 of the vehicle 31. It has the function to do.
 プローブデータ統計処理部102は、プローブデータ送受信部101により取得されたプローブデータを収集して統計処理を行うことにより、統計プローブデータを作成する機能を有している。プローブデータ統計処理部102が作成した統計プローブデータは、統計プローブデータ記憶部103に記憶される。 The probe data statistical processing unit 102 has a function of creating statistical probe data by collecting probe data acquired by the probe data transmitting / receiving unit 101 and performing statistical processing. The statistical probe data created by the probe data statistical processing unit 102 is stored in the statistical probe data storage unit 103.
 地図データ記憶部104には、道路網のデータを含む地図データが記憶されている。プローブデータ統計処理部102は、必要に応じて、地図データ記憶部104に記憶されている地図データと統計プローブデータとの関連付けを行う。 The map data storage unit 104 stores map data including road network data. The probe data statistical processing unit 102 associates the map data stored in the map data storage unit 104 with the statistical probe data as necessary.
 図7は、情報センタ10における統計プローブデータの生成処理を示すフローチャートである。プローブカー21の車載端末20は、プローブデータおよびプローブデータ関連情報を随時送信しており、情報センタ10は、それらを受信する毎に図7の動作を実行する。 FIG. 7 is a flowchart showing statistical probe data generation processing in the information center 10. The in-vehicle terminal 20 of the probe car 21 transmits probe data and probe data related information as needed, and the information center 10 performs the operation of FIG. 7 each time they are received.
 情報センタ10において、プローブデータ送受信部101が車載端末20からのプローブデータおよびプローブデータ関連情報を受信すると(ステップS11,S12)、プローブデータ統計処理部102は、当該プローブデータから得られるプローブカー21の進行経路と、地図データ記憶部104に記憶された地図データと照合し、プローブカー21が各交差点でどの方向へ進んだかを確認する。そして、それを新たなサンプルとして進行方向割合のデータに追加することにより、新たな進行方向割合を算出する(ステップS13)。このとき、プローブデータ統計処理部102は、プローブデータと共に受信したプローブデータ関連情報を参照して、図4に示したように、進行方向割合を様々な条件別に算出する。 In the information center 10, when the probe data transmitting / receiving unit 101 receives the probe data and the probe data related information from the in-vehicle terminal 20 (steps S11 and S12), the probe data statistical processing unit 102 obtains the probe car 21 obtained from the probe data. Are compared with the map data stored in the map data storage unit 104 to confirm in which direction the probe car 21 has advanced at each intersection. Then, a new traveling direction ratio is calculated by adding it to the traveling direction ratio data as a new sample (step S13). At this time, the probe data statistical processing unit 102 refers to the probe data related information received together with the probe data, and calculates the traveling direction ratio according to various conditions as shown in FIG.
 そして、プローブデータ統計処理部102は、新たに算出した進行方向割合のデータを、統計プローブデータ記憶部103に記憶させる(ステップS14)。それにより、統計プローブデータ記憶部103に記憶されている進行方向割合のデータが更新される。 Then, the probe data statistical processing unit 102 stores the newly calculated traveling direction ratio data in the statistical probe data storage unit 103 (step S14). As a result, the traveling direction ratio data stored in the statistical probe data storage unit 103 is updated.
 なお、進行方向割合の算出および更新(ステップS13、S14)は、1つのプローブデータを受信する毎に行う必要はなく、例えば、受信したプローブデータが所定個数蓄積される毎に行ってもよいし、予め定められた一定の周期で行ってもよい。 The calculation and update of the traveling direction ratio (steps S13 and S14) need not be performed every time one piece of probe data is received. For example, it may be performed every time a predetermined number of received probe data is accumulated. Alternatively, it may be performed at a predetermined cycle.
 次に、車両31のナビゲーション装置30の詳細について説明する。以下のナビゲーション装置30の説明において、当該ナビゲーション装置30を搭載する車両31を「自車」と呼ぶこととする。 Next, details of the navigation device 30 of the vehicle 31 will be described. In the following description of the navigation device 30, the vehicle 31 on which the navigation device 30 is mounted is referred to as “own vehicle”.
 ナビゲーション装置30は、必要に応じて情報センタ10に統計プローブデータの送信を要求し、情報センタ10から受信した統計プローブデータに基づいて、各交差点における自車の進行方向もしくは進行経路を推定する機能を有している。また、ナビゲーション装置30は、推定した進行方向(推定進行方向)もしくは推定した進行経路(推定進行経路)に基づいて、自車の運転を支援するための情報(運転支援情報)を生成し、それをユーザ(運転者)または自車の車両制御システムに通知することができる。 The navigation device 30 requests the information center 10 to transmit statistical probe data as necessary, and estimates the traveling direction or traveling route of the vehicle at each intersection based on the statistical probe data received from the information center 10. have. The navigation device 30 generates information (driving support information) for supporting driving of the host vehicle based on the estimated traveling direction (estimated traveling direction) or the estimated traveling route (estimated traveling route). Can be notified to the user (driver) or the vehicle control system of the own vehicle.
 図8は、ナビゲーション装置30の機能構成を示すブロック図である。当該ナビゲーション装置30は、統計プローブデータ取得部301、データ取得条件設定部302、推定情報生成部303、推定情報記憶部304、地図データ記憶部305、現在位置算出部306、走行履歴記憶部307、運転支援情報生成部308、運転支援情報記憶部309、運転支援情報通知部310、ユーザ通知部311および制御部312を含んでいる。また、ナビゲーション装置30には、自車の走行制御を行う車両制御システム32が接続されている。 FIG. 8 is a block diagram showing a functional configuration of the navigation device 30. The navigation device 30 includes a statistical probe data acquisition unit 301, a data acquisition condition setting unit 302, an estimation information generation unit 303, an estimation information storage unit 304, a map data storage unit 305, a current position calculation unit 306, a travel history storage unit 307, A driving support information generation unit 308, a driving support information storage unit 309, a driving support information notification unit 310, a user notification unit 311, and a control unit 312 are included. The navigation device 30 is connected to a vehicle control system 32 that controls the traveling of the host vehicle.
 統計プローブデータ取得部301は、情報センタ10にアクセスして、統計プローブデータを取得する機能を有している。また、データ取得条件設定部302は、統計プローブデータ取得部301が情報センタ10から取得する統計プローブデータの条件(データ取得条件)を設定する機能を有している。つまり、統計プローブデータ取得部301は、データ取得条件設定部302が設定したデータ取得条件に合う統計プローブデータを選択的に取得するように動作する。 The statistical probe data acquisition unit 301 has a function of accessing the information center 10 and acquiring statistical probe data. The data acquisition condition setting unit 302 has a function of setting a condition (data acquisition condition) of statistical probe data acquired by the statistical probe data acquisition unit 301 from the information center 10. That is, the statistical probe data acquisition unit 301 operates to selectively acquire statistical probe data that meets the data acquisition conditions set by the data acquisition condition setting unit 302.
 推定情報生成部303は、統計プローブデータ取得部301が取得した統計プローブデータに基づいて、自車前方の交差点における自車の推定進行方向とその信頼度を算出する機能を有している。推定進行方向は、自車の状態を考慮した上で、進行方向割合が最も高い道路(リンクID)とする。また、推定進行方向の信頼度は、その進行方向割合の値(%)で表すことができる。 The estimated information generation unit 303 has a function of calculating the estimated traveling direction of the own vehicle and the reliability thereof at the intersection ahead of the own vehicle based on the statistical probe data acquired by the statistical probe data acquiring unit 301. The estimated traveling direction is a road (link ID) having the highest traveling direction ratio in consideration of the state of the host vehicle. Further, the reliability of the estimated traveling direction can be expressed by the value (%) of the traveling direction ratio.
 また、推定情報生成部303は、自車前方の交差点を推定進行方向へ抜けた先の交差点についてさらに推定進行方向を算出することを繰り返し行うことによって、各交差点における推定進行方向の道路を連結した自車の推定進行経路およびその経路の通過確率に応じた信頼度を求めることもできる。 Further, the estimated information generation unit 303 connects the roads in the estimated traveling direction at each intersection by repeatedly calculating the estimated traveling direction for the intersection ahead of the intersection ahead of the host vehicle in the estimated traveling direction. The reliability according to the estimated traveling route of the own vehicle and the passing probability of the route can also be obtained.
 推定情報生成部303は、自車前方の交差点を示すノードIDと、当該交差点に進入する道路のリンクIDと、推定進行方向の道路を示すリンクIDと、その信頼度とを関連づけした推定情報を生成し、それを推定情報記憶部304に記憶させる。 The estimated information generation unit 303 obtains estimated information in which the node ID indicating the intersection ahead of the host vehicle, the link ID of the road entering the intersection, the link ID indicating the road in the estimated traveling direction, and the reliability thereof are associated with each other. It is generated and stored in the estimated information storage unit 304.
 図9は、推定情報生成部303が生成する推定情報の例であり、自車が図10に示す道路網を走行している状態を想定したものである。図9では、自車がリンクID「00001」および「00002」の道路からノードID「00001021」の交差点に進入する場合、自車の推定進行方向はリンクID「00515」の道路であり、その信頼度は80%であることを示している。また、自車がリンクID「00515」および「00516」の道路からノードID「00001022」の交差点に進入する場合、自車の推定進行方向はリンクID「00517」の道路であり、その信頼度は60%であることを示している。図9の推定情報を参照すれば、自車の推定進行経路は、リンクID「00001」、「00002」、「00515」、「00516」、「00517」の道路を連結した経路として得られる。 FIG. 9 is an example of the estimation information generated by the estimation information generation unit 303, and assumes a state in which the vehicle is traveling on the road network shown in FIG. In FIG. 9, when the own vehicle enters the intersection with the node ID “00001021” from the roads with the link IDs “00001” and “00002”, the estimated traveling direction of the own vehicle is the road with the link ID “00515”, and the trust The degree is 80%. When the own vehicle enters the intersection of the node ID “00001022” from the roads with the link IDs “00515” and “00516”, the estimated traveling direction of the own vehicle is the road with the link ID “00517”, and its reliability is It shows that it is 60%. Referring to the estimation information in FIG. 9, the estimated traveling route of the host vehicle is obtained as a route connecting the roads with link IDs “00001”, “00002”, “00515”, “00516”, and “00517”.
 地図データ記憶部305には、道路網のデータを含む地図データが記憶されている。推定情報生成部303は、推定進行方向を算出する際、必要に応じて地図データ記憶部305に記憶された地図データを使用する。 The map data storage unit 305 stores map data including road network data. When calculating the estimated traveling direction, the estimated information generation unit 303 uses the map data stored in the map data storage unit 305 as necessary.
 図11は、推定情報生成部303が推定進行方向を求める際に考慮する地図データの例を示す図である。例えば、自車前方の交差点について、図11の条件に合う方向については進行方向割合にそれぞれの係数を乗じた上で、最も進行方向割合の高くなる方向を推定進行方向としてもよい。進行方向割合に図11の係数を乗じることにより、「車両は同じ名称の道路を続けて走る確率が高い」、「交差点では直進に近い方向に抜ける確率が高い」、「車両は同じ種別(国道、県道、高速道、有料道など)の道路を続けて走る確率が高い」、といった車両の一般的な性質が考慮される。 FIG. 11 is a diagram illustrating an example of map data to be considered when the estimated information generation unit 303 obtains the estimated traveling direction. For example, for the intersection in front of the host vehicle, the direction with the highest traveling direction ratio may be set as the estimated traveling direction after multiplying the traveling direction ratio by the respective coefficient for the direction meeting the conditions of FIG. By multiplying the traveling direction ratio by the coefficient in FIG. 11, “the vehicle has a high probability of continuing on the road with the same name”, “the probability of exiting in a direction close to straight ahead at the intersection”, “the vehicle is of the same type (national road) , Prefectural roads, expressways, toll roads, etc.) are likely to continue to run.
 なお、地図データ記憶部305の地図データは、ナビゲーション装置30が自車を現在地から目的地まで案内するナビゲーション動作を行う際の経路探索などにも使用されるが、本発明は目的地および経路が設定されていない状態を前提とするため、ここではナビゲーション動作の説明は省略する。 The map data stored in the map data storage unit 305 is also used for a route search or the like when the navigation device 30 performs a navigation operation for guiding the vehicle from the current location to the destination. Since it is assumed that the state is not set, description of the navigation operation is omitted here.
 現在位置算出部306は、自車の位置(走行中の道路)を算出する機能を有している。自車位置は、GPS(Global Positioning System)受信機から得られる緯度・経度などの位置の情報、車速センサから得られる車速情報、方位センサから得られる方位情報と、地図データ記憶部305から取得した地図データとを用いて算出される。また、現在位置算出部306は、算出した自車位置を、時系列に沿った走行履歴として、走行履歴記憶部307に記憶させる。上記の推定情報生成部303は、現在位置算出部306が算出した自車位置と、地図データ記憶部305に記憶されている地図データとから、自車前方の交差点を特定することができる。 The current position calculation unit 306 has a function of calculating the position of the own vehicle (the road on which the vehicle is traveling). The own vehicle position is acquired from the position information such as latitude and longitude obtained from the GPS (Global Positioning System) receiver, the vehicle speed information obtained from the vehicle speed sensor, the direction information obtained from the direction sensor, and the map data storage unit 305. Calculated using map data. In addition, the current position calculation unit 306 stores the calculated vehicle position in the travel history storage unit 307 as a travel history along the time series. The estimated information generation unit 303 can identify an intersection ahead of the vehicle from the vehicle position calculated by the current position calculation unit 306 and the map data stored in the map data storage unit 305.
 運転支援情報生成部308は、推定情報記憶部304に記憶されている推定情報に基づき、地図データ記憶部305に記憶されている地図データを用いて、推定進行方向に対応する道路に存在する交通事象とその存在位置の情報を含む運転支援情報を生成する機能を有している。ここでいう「交通事象」は、渋滞や交通事故、道路工事などの他、道路形状(例えばカーブや傾斜)や天候など、車両の運転に影響する事象を含んでいる。交通事象の情報は、通信により外部から取得できるが、道路形状の情報は、地図データ記憶部305の地図データに含まれていてもよい。運転支援情報生成部308が生成した運転支援情報は、運転支援情報記憶部309に記憶される。 The driving support information generation unit 308 uses the map data stored in the map data storage unit 305 based on the estimation information stored in the estimation information storage unit 304, and traffic existing on the road corresponding to the estimated traveling direction. It has a function of generating driving support information including information on an event and its location. The “traffic event” referred to here includes events affecting the driving of the vehicle such as a traffic shape, a traffic accident, road construction, a road shape (for example, a curve or a slope), and weather. The traffic event information can be acquired from the outside by communication, but the road shape information may be included in the map data in the map data storage unit 305. The driving support information generated by the driving support information generation unit 308 is stored in the driving support information storage unit 309.
 図12は、運転支援情報生成部308が生成する運転支援情報の例を示す図である。図12の運転支援情報は、リンクID「00515」の道路の始点(ノード)から30%の位置(緯度:34.701909、経度:135.494977に相当)に交通事象「上り坂」が存在することを示している。 FIG. 12 is a diagram illustrating an example of the driving support information generated by the driving support information generating unit 308. The driving support information in FIG. 12 indicates that the traffic event “uphill” exists at a position 30% from the start point (node) of the road with the link ID “00515” (equivalent to latitude: 34.701909, longitude: 135.494977). Yes.
 運転支援情報通知部310は、運転支援情報記憶部309に記憶されている運転支援情報を、所定のタイミングでユーザもしくは車両制御システム32に通知する機能を有している。ユーザへの通知は、運転支援情報を音声、テキストまたは画像に変換して出力するユーザ通知部311を通して行われる。運転支援情報通知部310は、現在位置算出部306が算出した自車位置と、運転支援情報記憶部309に記憶されている運転支援情報に係る交通事象の位置とを照合し、自車が交通事象の位置から所定距離内の範囲に入ったタイミングで、その運転支援情報の通知を行う。 The driving support information notifying unit 310 has a function of notifying the driving support information stored in the driving support information storage unit 309 to the user or the vehicle control system 32 at a predetermined timing. The notification to the user is performed through a user notification unit 311 that converts the driving support information into voice, text, or an image and outputs it. The driving support information notifying unit 310 collates the vehicle position calculated by the current position calculating unit 306 with the position of the traffic event related to the driving support information stored in the driving support information storage unit 309. The driving support information is notified at the timing when the position falls within a predetermined distance from the event position.
 以上の各要素の動作は、制御部312によって統合的に制御される。 The operation of each element described above is controlled by the control unit 312 in an integrated manner.
 図13は、図8に示したナビゲーション装置30のハードウェア構成を示すブロック図である。ハードウェアとしてのナビゲーション装置30は、統計プローブデータ受信機351、記憶装置352、表示装置353、音声出力装置354、コントロールユニット355を含んでいる。またナビゲーション装置30には、車両制御システム32、GPS受信機33、方位センサ34、距離センサ35、情報通信機器36が接続されている。 FIG. 13 is a block diagram showing a hardware configuration of the navigation device 30 shown in FIG. The navigation device 30 as hardware includes a statistical probe data receiver 351, a storage device 352, a display device 353, an audio output device 354, and a control unit 355. The navigation device 30 is connected to a vehicle control system 32, a GPS receiver 33, a direction sensor 34, a distance sensor 35, and an information communication device 36.
 統計プローブデータ受信機351は、情報センタ10のプローブデータ送受信部101(図6)との通信により、情報センタ10から統計プローブデータを受信する手段であり、図8の統計プローブデータ取得部301として機能する。 The statistical probe data receiver 351 is means for receiving statistical probe data from the information center 10 through communication with the probe data transmission / reception unit 101 (FIG. 6) of the information center 10, and serves as the statistical probe data acquisition unit 301 of FIG. Function.
 記憶装置352は、各種のデータを記憶する手段であり、図8の推定情報記憶部304、地図データ記憶部305、走行履歴記憶部307、運転支援情報記憶部309として機能する。 The storage device 352 is a means for storing various data, and functions as the estimated information storage unit 304, the map data storage unit 305, the travel history storage unit 307, and the driving support information storage unit 309 in FIG.
 表示装置353は、運転支援情報をユーザに通知するためのテキストや画像を表示する手段であり、例えば液晶ディスプレイなどによって構成される。音声出力装置354は、運転支援情報をユーザに通知するための音声を出力する手段であり、例えばスピーカなどで構成される。表示装置353および音声出力装置354は、図8のユーザ通知部311として機能する。 The display device 353 is a means for displaying text and images for notifying the user of driving support information, and is configured by a liquid crystal display, for example. The audio output device 354 is a unit that outputs audio for notifying the user of driving support information, and is configured by, for example, a speaker. The display device 353 and the audio output device 354 function as the user notification unit 311 in FIG.
 コントロールユニット355は、当該ナビゲーション装置の全体制御や各種演算を行うものであり、図8の制御部312に対応している。また、図8のデータ取得条件設定部302、推定情報生成部303、現在位置算出部306、運転支援情報生成部308、運転支援情報通知部310は、コントロールユニット355がプログラムを実行することにより実現される。 The control unit 355 performs overall control of the navigation device and various calculations, and corresponds to the control unit 312 in FIG. In addition, the data acquisition condition setting unit 302, the estimation information generation unit 303, the current position calculation unit 306, the driving support information generation unit 308, and the driving support information notification unit 310 of FIG. 8 are realized by the control unit 355 executing a program. Is done.
 コントロールユニット355は、以下のCPU(中央演算処理装置)360、ROM(Read Only Memory)361、RAM(Random Access Memory)362、表示制御部363、I/O(入出力)部364を含んでいる。CPU360は、自車の現在位置、推定進行方向および推定進行経路の算出や、運転支援情報の生成などを行うプログラムを実行する手段である。 The control unit 355 includes a CPU (Central Processing Unit) 360, a ROM (Read Only Memory) 361, a RAM (Random Access Memory) 362, a display control unit 363, and an I / O (input / output) unit 364. . The CPU 360 is a means for executing a program for calculating the current position of the host vehicle, the estimated traveling direction and the estimated traveling route, and generating driving support information.
 ROM361は、CPU360が動作の過程で用いるプログラム定数等が記憶されたメモリである。RAM362は、CPU360の処理の過程で、プログラムや地図データ等が展開され、また演算結果が書き込まれるメモリである。表示制御部363は、表示装置353の画面表示を制御するものであり、I/O部364は、ナビゲーション装置30内の各装置351~354およびナビゲーション装置30に接続する車両制御システム32、GPS受信機33、方位センサ34、距離センサ35、情報通信機器36との間のインターフェースである。 The ROM 361 is a memory that stores program constants and the like used by the CPU 360 in the course of operation. The RAM 362 is a memory in which programs, map data, and the like are developed and calculation results are written in the course of processing by the CPU 360. The display control unit 363 controls the screen display of the display device 353, and the I / O unit 364 includes the devices 351 to 354 in the navigation device 30 and the vehicle control system 32 connected to the navigation device 30, GPS reception This is an interface among the machine 33, the direction sensor 34, the distance sensor 35, and the information communication device 36.
 GPS受信機33は、人工衛星からの電波に基づいてナビゲーション装置30を搭載する車両31の位置(緯度、経度)を検出する手段である。方位センサ34は、車両31の向きを検出する手段であり、距離センサ35は、当該移動体の移動距離を検出する手段である。GPS受信機33、方位センサ34および距離センサ35が取得した情報は、図8の現在位置算出部306における車両31の位置(走行中の道路)の算出に用いられる。 The GPS receiver 33 is means for detecting the position (latitude, longitude) of the vehicle 31 on which the navigation device 30 is mounted based on radio waves from an artificial satellite. The direction sensor 34 is a means for detecting the direction of the vehicle 31, and the distance sensor 35 is a means for detecting the moving distance of the moving body. Information acquired by the GPS receiver 33, the azimuth sensor 34, and the distance sensor 35 is used for calculation of the position of the vehicle 31 (the running road) in the current position calculation unit 306 in FIG.
 情報通信機器36は、外部から送信される交通事象の情報を取得する手段であり、例えば、携帯電話やスマートフォンなどの汎用の通信機器で構成されていてもよいし、TMC(Traffic Message Channel)受信機やVICS(Vehicle Information and Communications System)(登録商標)受信機など、交通事象の情報の取得を目的とする専用の通信機器で構成されていてもよい。情報通信機器36が取得する交通事象の情報は、図8の運転支援情報生成部308における運転支援情報の生成に用いられる。 The information communication device 36 is means for acquiring information on traffic events transmitted from the outside. For example, the information communication device 36 may be constituted by a general-purpose communication device such as a mobile phone or a smartphone, or may receive a TMC (Traffic Message Channel) reception. Or a dedicated communication device for the purpose of acquiring traffic event information such as a VICS (Vehicle Information and Communications System) (registered trademark) receiver. Information on the traffic event acquired by the information communication device 36 is used to generate driving support information in the driving support information generation unit 308 of FIG.
 図14は、ナビゲーション装置30における推定情報の生成動作を示すフローチャートである。この動作は、ナビゲーション装置30に目的地および経路されていない状態の時に実行される。 FIG. 14 is a flowchart showing an estimation information generating operation in the navigation device 30. This operation is executed when the destination and route are not routed to the navigation device 30.
 まず、ナビゲーション装置30は、現在位置算出部306を用いて自車位置(走行中の道路)を算出する(ステップS21)。また、得られた自車位置を時系列に沿った走行履歴として、走行履歴記憶部307に記憶させる。次に、自車位置と、地図データ記憶部305に記憶されている地図データとを照合して、自車前方の交差点を特定する(ステップS22)。自車前方の交差点が特定されると、自車位置から当該交差点に進入する場合の推定情報が推定情報記憶部304に記憶されているか確認する(ステップS23)。自車前方の交差点の推定情報が記憶されていれば(ステップS23でYES)、後述するステップS27へ移行する。 First, the navigation device 30 uses the current position calculation unit 306 to calculate the vehicle position (the road on which the vehicle is traveling) (step S21). Further, the obtained vehicle position is stored in the travel history storage unit 307 as a travel history along the time series. Next, the vehicle position and the map data stored in the map data storage unit 305 are collated to identify an intersection ahead of the vehicle (step S22). When the intersection ahead of the host vehicle is specified, it is confirmed whether or not the estimation information for entering the intersection from the host vehicle position is stored in the estimation information storage unit 304 (step S23). If the estimated information of the intersection ahead of the host vehicle is stored (YES in step S23), the process proceeds to step S27 described later.
 自車前方の交差点の推定情報が記憶されていなければ(ステップS23でNO)、ナビゲーション装置30は、統計プローブデータ取得部301を用いて、情報センタ10から進行方向割合のデータ(統計プローブデータ)を取得する(ステップS24)。このとき、統計プローブデータ取得部301は、情報センタ10に対し、データ取得条件設定部302が設定したデータ取得条件に合うデータの送信を要求する。 If the estimated information of the intersection ahead of the host vehicle is not stored (NO in step S23), the navigation device 30 uses the statistical probe data acquisition unit 301 to transmit the travel direction ratio data (statistical probe data) from the information center 10. Is acquired (step S24). At this time, the statistical probe data acquisition unit 301 requests the information center 10 to transmit data that meets the data acquisition conditions set by the data acquisition condition setting unit 302.
 図15は、データ取得条件設定部302が設定するデータ取得条件の例を示す図である。図4に示したように、進行方向割合のデータは様々な条件別に項目分けされているが、データ取得条件には、その項目についての自車の情報が設定される。図15のデータ取得条件は、図4の推定進行方向のデータと同様に、運転者情報、時刻、通過点リンクIDの各項目を含んでおり、データ取得条件設定部302によって、それらの項目に自車の運転者の性別、現在の時刻、自車が通過してきた道路のリンクIDがそれぞれ条件値として設定されている。また、データ取得条件の各項目には優先順位が設定されている。 FIG. 15 is a diagram illustrating an example of data acquisition conditions set by the data acquisition condition setting unit 302. As shown in FIG. 4, the data of the traveling direction ratio is divided into items according to various conditions, but information on the own vehicle for the items is set in the data acquisition conditions. The data acquisition conditions in FIG. 15 include the items of driver information, time, and passing point link ID, similar to the estimated traveling direction data in FIG. 4, and the data acquisition condition setting unit 302 sets these items. The gender of the driver of the own vehicle, the current time, and the link ID of the road through which the own vehicle has passed are set as condition values. In addition, a priority order is set for each item of the data acquisition condition.
 図15のデータ取得条件が設定されている場合、統計プローブデータ取得部301は、情報センタ10に対して、運転者が男性であり且つリンクID「14533」の道路を通過した車両(プローブカー)の、8時を含む時間帯における自車前方の交差点の進行方向割合のデータを要求する。このとき、データ取得条件に合う進行方向割合のデータのサンプル数が少ない場合には、その信頼性は低いため、データ取得条件から優先順位の低い項目を削除して、情報センタ10から再度、進行方向割合のデータを取得するようにするとよい。 When the data acquisition conditions of FIG. 15 are set, the statistical probe data acquisition unit 301 is a vehicle (probe car) that has passed the road with the link ID “14533” with respect to the information center 10 where the driver is male. The data of the advancing direction ratio of the intersection ahead of the own vehicle in the time zone including 8 o'clock is requested. At this time, when the number of samples of the data in the traveling direction ratio that meets the data acquisition conditions is small, the reliability is low. Therefore, the low priority item is deleted from the data acquisition conditions, and the information center 10 proceeds again. It is advisable to acquire direction ratio data.
 なお、データ取得条件の項目は、図15に示したものに限られず、日付情報(季節や曜日の情報も含む)、時刻情報、気象情報、自車の種別、運転者の種別、自車の地域属性、自車の通過経路のいずれか1以上を用いることが考えられる。例えばプローブデータ関連情報(図3)の各項目でもよい。また図15では、通過点を示すリンクIDは1つのみが設定されているが、複数のリンクIDが設定されてもよい。 The items of the data acquisition conditions are not limited to those shown in FIG. 15, but date information (including season and day information), time information, weather information, own vehicle type, driver type, own vehicle type It is conceivable to use at least one of the regional attribute and the passing route of the own vehicle. For example, each item of probe data related information (FIG. 3) may be sufficient. In FIG. 15, only one link ID indicating a passing point is set, but a plurality of link IDs may be set.
 図14に戻り、ナビゲーション装置30は、ステップS24で自車前方の交差点の進行方向割合を取得すると、推定情報生成部303を用いて、進行方向割合のデータに基づき、自車が進む確率が最も高い方向を算出してそれを推定進行方向とする。また、その確率の値(%)を、当該推定進行方向の信頼度とする(ステップS25)。ここで用いられる進行方向割合のデータは、データ取得条件に応じて選択的に取得されたものであるため、結果として、推定情報生成部303が算出した推定進行方向は、データ取得条件の各項目についての自車の情報が考慮されたものとなる。また、図11を用いて説明したように、推定進行方向を求める際、地図データ記憶部305に記憶されている地図データを考慮に加えてもよい。 Returning to FIG. 14, when the navigation device 30 obtains the traveling direction ratio of the intersection ahead of the host vehicle in step S24, the probability that the host vehicle will travel is the highest based on the traveling direction ratio data using the estimated information generation unit 303. The higher direction is calculated and used as the estimated traveling direction. The probability value (%) is set as the reliability of the estimated traveling direction (step S25). Since the data of the traveling direction ratio used here is selectively acquired according to the data acquisition condition, as a result, the estimated traveling direction calculated by the estimated information generation unit 303 is each item of the data acquisition condition. The vehicle information about the vehicle will be taken into account. Further, as described with reference to FIG. 11, map data stored in the map data storage unit 305 may be taken into consideration when obtaining the estimated traveling direction.
 推定情報生成部303は、自車前方の交差点を示すノードIDと、当該交差点に進入する道路のリンクIDと、当該交差点における推定進行方向の道路を示すリンクIDと、その推定進行方向の信頼度と、を関連づけした推定情報を生成し、それを推定情報記憶部304に記憶させる(ステップS26)。 The estimation information generation unit 303 includes a node ID indicating an intersection ahead of the host vehicle, a link ID of a road entering the intersection, a link ID indicating a road in the estimated traveling direction at the intersection, and reliability of the estimated traveling direction. And the estimated information that associates with each other are generated and stored in the estimated information storage unit 304 (step S26).
 その後、ナビゲーション装置30は、自車から所定距離先の交差点までの推定情報が推定情報記憶部304に記憶されているかを確認する(ステップS27)。 Thereafter, the navigation device 30 confirms whether or not the estimated information from the own vehicle to the intersection ahead of the predetermined distance is stored in the estimated information storage unit 304 (step S27).
 自車から所定距離先の交差点までの推定情報が記憶されていなければ(ステップS27でNO)、ステップS21に戻る。この場合、次のステップS22では、推定情報生成部303が、前回推定情報を生成した交差点を推定進行方向へ抜けた先の交差点を「前方の交差点」として特定する。この処理により、自車から所定距離先の交差点までの推定情報が推定情報記憶部304に記憶されるまで、ステップS21~S27が繰り返されることになる。その結果、自車前方の複数の交差点についての推定情報が推定情報記憶部304に蓄積され、ナビゲーション装置30は、それらを参照することにより、複数の交差点での推定進行方向の道路を連結した推定進行経路を取得できるようになる。 If the estimated information from the own vehicle to the intersection at a predetermined distance is not stored (NO in step S27), the process returns to step S21. In this case, in the next step S <b> 22, the estimated information generation unit 303 identifies the previous intersection that has left the intersection that generated the previous estimated information in the estimated traveling direction as the “front intersection”. By this processing, steps S21 to S27 are repeated until the estimated information from the own vehicle to the intersection ahead of the predetermined distance is stored in the estimated information storage unit 304. As a result, estimated information about a plurality of intersections ahead of the host vehicle is accumulated in the estimated information storage unit 304, and the navigation device 30 refers to them to estimate the roads in the estimated traveling direction at the plurality of intersections. You will be able to get the route.
 自車から所定距離先の交差点までの推定情報が記憶されていれば(ステップS27でYES)、ナビゲーション装置30は、自車が交差点を通過するまで待機し(ステップS28)、交差点を通過すれば(ステップS28でYES)、ステップS21に戻る。この場合も、次のステップS22では、推定情報生成部303が、前回推定情報を生成した交差点を推定進行方向へ抜けた先の交差点を「前方の交差点」として特定する。 If estimated information from the own vehicle to the intersection at a predetermined distance is stored (YES in step S27), the navigation device 30 waits until the own vehicle passes the intersection (step S28), and if the vehicle passes the intersection. (YES in step S28), the process returns to step S21. Also in this case, in the next step S22, the estimation information generation unit 303 identifies the previous intersection that has left the intersection that generated the previous estimation information in the estimated traveling direction as the “front intersection”.
 図16は、ナビゲーション装置30における運転支援情報(図12)の通知処理を示すフローチャートである。この動作は、ナビゲーション装置30に目的地および経路が設定されていないときに、図14に示した推定情報の生成処理と並行して実行される。 FIG. 16 is a flowchart showing a notification process of driving support information (FIG. 12) in the navigation device 30. This operation is executed in parallel with the estimation information generation process shown in FIG. 14 when the destination and route are not set in the navigation device 30.
 まず、ナビゲーション装置30は、運転支援情報記憶部309に運転支援情報が記憶されているかを確認する(ステップS31)。 First, the navigation device 30 confirms whether or not driving support information is stored in the driving support information storage unit 309 (step S31).
 運転支援情報が記憶されていない場合は(ステップS31でNO)、後述するステップS35へ移行する。 If the driving support information is not stored (NO in step S31), the process proceeds to step S35 described later.
 運転支援情報が記憶されている場合は(ステップS31でYES)、ナビゲーション装置30では、現在位置算出部306が自車位置を算出する(ステップS32)。そして、運転支援情報通知部310が、運転支援情報の通知を行うタイミングが否かを判定する(ステップS33)。上で説明したように、運転支援情報通知部310が運転支援情報の通知を行うタイミングは、自車が、運転支援情報に係る交通事象の位置から所定距離内の範囲に入った時である。 If the driving support information is stored (YES in step S31), in the navigation device 30, the current position calculation unit 306 calculates the vehicle position (step S32). Then, the driving support information notification unit 310 determines whether it is time to notify the driving support information (step S33). As described above, the timing at which the driving support information notification unit 310 notifies the driving support information is when the vehicle enters a range within a predetermined distance from the position of the traffic event related to the driving support information.
 運転支援情報の通知を行うタイミングであれば(ステップS33でYES)、運転支援情報通知部310は、ユーザ(運転者)または車両制御システム32に運転支援情報を通知する(ステップS34)。これにより、推定進行方向に対応した運転支援情報が、ユーザまたは車両制御システム32に通知されることになる。 If it is time to notify the driving support information (YES in step S33), the driving support information notifying unit 310 notifies the user (driver) or the vehicle control system 32 of the driving support information (step S34). Thereby, the driving assistance information corresponding to the estimated traveling direction is notified to the user or the vehicle control system 32.
 運転支援情報の通知を受けたユーザは、自車が通る確率の高い道路における交通事象の発生を事前に知ることができる。また、運転支援情報の通知を受けた車両制御システム32は、その交通事象に遭遇することを想定した車両制御を行うことができる。 The user who receives the notification of the driving support information can know in advance the occurrence of a traffic event on a road where the own vehicle is likely to pass. In addition, the vehicle control system 32 that has received the notification of the driving support information can perform vehicle control assuming that the traffic event is encountered.
 運転支援情報の通知を行うタイミングでなければ(ステップS33でNO)、運転支援情報の通知(ステップS34)は行われない。 If it is not time to notify the driving support information (NO in step S33), the driving support information is not notified (step S34).
 そして、運転支援情報生成部308は、推定情報記憶部304に記憶されている推定情報の推定進行方向に対応する道路の全ての交通事象について、運転支援情報の生成が完了しているか確認する(ステップS35)。運転支援情報の生成が完了していれば(ステップS35でYES)、ステップS31に戻る。 Then, the driving support information generation unit 308 confirms whether the generation of driving support information has been completed for all traffic events on the road corresponding to the estimated traveling direction of the estimated information stored in the estimated information storage unit 304 ( Step S35). If the generation of the driving support information has been completed (YES in step S35), the process returns to step S31.
 運転支援情報の生成が完了していなければ(ステップS35でNO)、運転支援情報生成部308は、推定情報記憶部304に記憶された推定情報と、通信等により取得した交通事象およびその位置とに基づき、推定情報の推定進行方向に対応する道路の全ての交通事象についての運転支援情報を生成する(ステップS36)。もちろん、推定情報の推定進行方向に対応する道路に交通事象が存在しない場合は、運転支援情報は生成されない。ナビゲーション装置30は、運転支援情報生成部308が生成した運転支援情報を運転支援情報記憶部309に記憶させ、ステップS31に戻る。 If the generation of the driving support information has not been completed (NO in step S35), the driving support information generating unit 308, the estimated information stored in the estimated information storage unit 304, the traffic event acquired by communication or the like and its position, Based on, driving support information for all traffic events on the road corresponding to the estimated traveling direction of the estimated information is generated (step S36). Of course, when there is no traffic event on the road corresponding to the estimated traveling direction of the estimated information, the driving support information is not generated. The navigation device 30 stores the driving support information generated by the driving support information generation unit 308 in the driving support information storage unit 309, and returns to step S31.
 以上のように、本実施の形態に係るナビゲーションシステムでは、複数のプローブカーから取得したプローブデータを統計処理して得た統計プローブデータを用いて、推定進行方向が算出される。実際に車両が進行する確率の高い進行方向が推定されるため、高い精度での推定が可能になる。また、情報センタに蓄積されるプローブデータのサンプル数が多くなるほど、統計プローブデータの信頼性が向上するため、推定の精度をより高くできる効果が期待できる。 As described above, in the navigation system according to the present embodiment, the estimated traveling direction is calculated using statistical probe data obtained by statistically processing probe data acquired from a plurality of probe cars. Since the traveling direction with a high probability that the vehicle will actually travel is estimated, estimation with high accuracy becomes possible. Further, as the number of probe data samples accumulated in the information center increases, the reliability of the statistical probe data is improved, so that an effect that the estimation accuracy can be increased can be expected.
 なお、本実施の形態では、図14(推定情報の生成処理)のステップS25、S26において、推定情報生成部303が、自車の進む確率が最も高い1方向のみを推定進行方向として算出しているが、自車の進む確率が高い複数の推定進行方向を、その確率の値(信頼度)の高さに応じて順位付けして算出してもよい。 In the present embodiment, in steps S25 and S26 of FIG. 14 (estimation information generation processing), the estimation information generation unit 303 calculates only one direction with the highest probability that the host vehicle travels as the estimated travel direction. However, a plurality of estimated traveling directions having a high probability of traveling by the host vehicle may be ranked and calculated according to the probability value (reliability).
 また、複数の推定進行方向を算出した交差点を当該推定進行方向へ抜けた先の複数の交差点における推定進行方向をさらに算出することを繰り返し行うことによって、ツリー状の複数の推定進行経路を求めてもよい。複数の推定進行経路についても、自車が進む確率の値(信頼度)の高さに応じて順位付けする。 In addition, by repeatedly calculating the estimated traveling direction at a plurality of intersections that have passed through the estimated traveling direction from the intersection where the plurality of estimated traveling directions have been calculated, a plurality of tree-shaped estimated traveling paths are obtained. Also good. The plurality of estimated traveling routes are also ranked according to the probability value (reliability) of the vehicle traveling.
 複数の推定進行方向および推定進行経路を求めておくことにより、最も信頼度の高い推定進行方向から自車が外れた場合に必要となる運転支援情報を用意しておくことができる。そのため、最も信頼度の高い推定進行方向から自車が外れたときに、ナビゲーション装置30にかかる演算負荷を小さくできるという効果が得られる。 By obtaining a plurality of estimated traveling directions and estimated traveling paths, it is possible to prepare driving support information necessary when the vehicle deviates from the estimated traveling direction with the highest reliability. Therefore, the effect that the calculation load concerning the navigation apparatus 30 can be made small when the own vehicle deviates from the estimated traveling direction with the highest reliability is obtained.
 なお、本発明は、その発明の範囲内において、実施の形態を適宜、変形、省略することが可能である。 In the present invention, the embodiments can be appropriately modified or omitted within the scope of the invention.
 この発明は詳細に説明されたが、上記した説明は、すべての態様において、例示であって、この発明がそれに限定されるものではない。例示されていない無数の変形例が、この発明の範囲から外れることなく想定され得るものと解される。 Although the present invention has been described in detail, the above description is illustrative in all aspects, and the present invention is not limited thereto. It is understood that countless variations that are not illustrated can be envisaged without departing from the scope of the present invention.
 10 情報センタ、20 車載端末、21 プローブカー、30 ナビゲーション装置、31 車両(自車)、32 車両制御システム、33 GPS受信機、34 方位センサ、35 距離センサ、36 情報通信機器、101 プローブデータ送受信部、102 プローブデータ統計処理部、103 統計プローブデータ記憶部、104 地図データ記憶部、301 統計プローブデータ取得部、302 データ取得条件設定部、303 推定情報生成部、304 推定情報記憶部、305 地図データ記憶部、306 現在位置算出部、307 走行履歴記憶部、308 運転支援情報生成部、309 運転支援情報記憶部、310 運転支援情報通知部、311 ユーザ通知部、312 制御部、351 統計プローブデータ受信機、352 記憶装置、353 表示装置、354 音声出力装置、355 コントロールユニット、360 CPU、361 ROM、362 RAM、363 表示制御部、364 I/O部。 10 information center, 20 in-vehicle terminal, 21 probe car, 30 navigation device, 31 vehicle (own vehicle), 32 vehicle control system, 33 GPS receiver, 34 direction sensor, 35 distance sensor, 36 information communication device, 101 probe data transmission / reception Unit, 102 probe data statistical processing unit, 103 statistical probe data storage unit, 104 map data storage unit, 301 statistical probe data acquisition unit, 302 data acquisition condition setting unit, 303 estimation information generation unit, 304 estimation information storage unit, 305 map Data storage unit, 306 Current position calculation unit, 307 Travel history storage unit, 308 Driving support information generation unit, 309 Driving support information storage unit, 310 Driving support information notification unit, 311 User notification unit, 312 control unit, 351 Statistical probe data Receive , 352 storage device, 353 display unit, 354 audio output unit, 355 control unit, 360 CPU, 361 ROM, 362 RAM, 363 display controller, 364 I / O unit.

Claims (9)

  1.  プローブカーの走行履歴を含む複数のプローブデータを統計処理した統計プローブデータを取得する統計プローブデータ取得部と、
     前記統計プローブデータに基づき、各交差点における自車の推定進行方向を算出する推定情報生成部と、を備える
    ナビゲーション装置。
    A statistical probe data acquisition unit for acquiring statistical probe data obtained by statistically processing a plurality of probe data including a traveling history of the probe car;
    A navigation apparatus comprising: an estimated information generation unit that calculates an estimated traveling direction of the vehicle at each intersection based on the statistical probe data.
  2.  前記統計プローブデータは、各交差点におけるプローブカーの進行方向割合を表すデータである
    請求項1記載のナビゲーション装置。
    The navigation device according to claim 1, wherein the statistical probe data is data representing a traveling direction ratio of a probe car at each intersection.
  3.  前記推定情報生成部は、前記自車の推定進行方向を算出した交差点を当該推定進行方向へ抜けた先の交差点における前記自車の推定進行方向をさらに算出することを繰り返し行うことによって、前記自車の推定進行経路を生成する
    請求項1または請求項2記載のナビゲーション装置。
    The estimated information generating unit repeatedly calculates the estimated traveling direction of the own vehicle at an intersection ahead of the intersection where the estimated traveling direction of the own vehicle is calculated in the estimated traveling direction. The navigation device according to claim 1, wherein an estimated traveling route of the vehicle is generated.
  4.  前記推定情報生成部は、各交差点における前記自車の推定進行方向を、順位付けして複数算出する
    請求項1または請求項2記載のナビゲーション装置。
    The navigation apparatus according to claim 1, wherein the estimated information generation unit ranks and calculates a plurality of estimated traveling directions of the own vehicle at each intersection.
  5.  前記推定情報生成部は、各交差点における前記自車の推定進行方向を、順位付けして複数算出することにより、前記自車の推定進行経路を複数生成する
    請求項3記載のナビゲーション装置。
    The navigation apparatus according to claim 3, wherein the estimated information generation unit generates a plurality of estimated traveling routes of the host vehicle by ranking and calculating a plurality of estimated traveling directions of the host vehicle at each intersection.
  6.  前記推定情報生成部は、日付情報、時刻情報、気象情報、前記自車の種別、運転者の種別、前記自車の地域属性、前記自車の通過経路のうちの1以上を考慮に入れて、各交差点における前記自車の推定進行方向を算出する
    請求項1または請求項2記載のナビゲーション装置。
    The estimated information generation unit takes into account one or more of date information, time information, weather information, the type of the own vehicle, a type of driver, an area attribute of the own vehicle, and a route of the own vehicle The navigation device according to claim 1, wherein an estimated traveling direction of the own vehicle at each intersection is calculated.
  7.  前記推定情報生成部は、前記統計プローブデータに基づき、算出した前記自車の推定進行方向の信頼度をさらに算出する
    請求項1または請求項2記載のナビゲーション装置。
    The navigation device according to claim 1, wherein the estimated information generation unit further calculates a reliability of the calculated estimated traveling direction of the host vehicle based on the statistical probe data.
  8.  前記推定情報生成部は、前記統計プローブデータと前記地図データに基づき、算出した前記自車の推定進行方向の信頼度をさらに算出する
    請求項1または請求項2記載のナビゲーション装置。
    The navigation device according to claim 1, wherein the estimation information generation unit further calculates a reliability of the calculated estimated traveling direction of the host vehicle based on the statistical probe data and the map data.
  9.  前記自車の推定進行方向に対応した運転支援情報を、運転者もしくは前記自車の車両制御システムに通知する運転支援情報通知部をさらに備える
    請求項1または請求項2記載のナビゲーション装置。
    The navigation device according to claim 1, further comprising a driving support information notification unit that notifies the driver or a vehicle control system of the host vehicle of driving support information corresponding to the estimated traveling direction of the host vehicle.
PCT/JP2012/075133 2012-09-28 2012-09-28 Navigation device WO2014049843A1 (en)

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