JP2022088054A - Information processing device - Google Patents

Abstract

To improve assessment accuracy of a device for assessing ease of driving on a road.SOLUTION: An information processing device receives, from a vehicle traveling on a given road link, vehicle data including data related to driving operation of the vehicle. The vehicle that transmitted the vehicle data acquires information on how frequent the vehicle has traveled on the road link in a given period in the past. The information processing device computes an assessment value for the road link based on the acquired information on the frequency of travel by the vehicle and the vehicle data received from the vehicle.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to vehicle navigation techniques.

There is a technique for evaluating the ease of driving on a road based on probe data. For example, Patent Document 1 discloses a device that estimates a driving load on a route based on the traveling history of a probe car and identifies a route that is avoided by a driver based on the estimated driving load.

Japanese Unexamined Patent Publication No. 2011-022033 Japanese Unexamined Patent Publication No. 2004-347539

In the device according to the prior art, the ease of driving on the road is evaluated by estimating the load applied to the operation. However, the load when driving a certain road varies depending on the driver. That is, if the load estimation standard is made uniform, the evaluation accuracy may decrease.

The present disclosure has been made in consideration of the above problems, and an object of the present disclosure is to improve the evaluation accuracy in a device for evaluating the ease of driving on a road.

The information processing device according to the first aspect of the present disclosure is
Receiving vehicle data including data related to the driving operation of the vehicle from a vehicle traveling on the predetermined road link, and the vehicle transmitting the vehicle data has traveled on the road link in the past predetermined period. Acquiring information on the frequency, calculating the evaluation value for the road link based on the information on the frequency acquired for the vehicle and the vehicle data received from the vehicle. It has a control unit to execute.

Further, another aspect of the present disclosure is an information processing method executed by the above information processing apparatus, a program for causing a computer to execute the information processing method, or a computer-readable storage medium in which the program is stored non-temporarily. Is.

According to the present disclosure, it is possible to improve the evaluation accuracy in the device for evaluating the ease of driving on the road.

The figure which gives the outline of the navigation system. A diagram showing the components of the navigation system in more detail. An example of probe data transmitted from an in-vehicle terminal. An example of a probe data table stored in a storage unit. An example of a road link table stored in the storage. An example of a travel history table stored in the storage unit. The figure which shows the flow of data sent and received between modules. The figure explaining the process which each module having a control part performs.

The information processing device according to the embodiment of the present disclosure is a device that calculates driving recommendations for a plurality of road links based on data (probe data) transmitted from a plurality of vehicles (probe cars) under control. be. Specifically, the information processing device determines the ease of driving for each road link based on the received probe data, and assigns a higher driving recommendation level to the road link that can be evaluated to be easier to drive. ..

The information processing device receives vehicle data including data related to the driving operation of the vehicle from a vehicle traveling on a predetermined road link, and the vehicle that has transmitted the vehicle data is said to have said in the past predetermined period. An evaluation value is calculated for the road link based on the acquisition of information on the frequency of traveling on the road link, the information on the frequency acquired for the vehicle, and the vehicle data received from the vehicle. It has a control unit that performs and performs.

Vehicle data includes data related to the driving operation of the vehicle. As data related to the driving operation of the vehicle, for example, the amount of acceleration / deceleration, the amount of steering operation, and the like can be exemplified.
Based on such data related to driving operations, it is possible to estimate the ease of driving on a certain road link. For example, when the amount of steering operation per unit time is large, it can be estimated that driving behavior to avoid obstacles is occurring. Further, if the vehicle speed is not constant, it can be estimated that there is a factor that hinders smooth running.

However, it is not preferable to make an evaluation based on this information on a uniform basis. For example, if the driver of the vehicle lives near the target road or is accustomed to passing through the target road, he / she may be able to pass through the target road more smoothly than other drivers. Therefore, when evaluating a road link, it is preferable to consider the degree of skill of the driver.

The information processing device according to the present embodiment acquires information on the frequency with which the vehicle that has transmitted the vehicle data has traveled on the target road link in the past predetermined period, and evaluates the road link in consideration of the frequency. conduct. For example, for vehicles that travel more frequently, the weight in the evaluation can be made smaller. According to such a configuration, it becomes possible to perform a more accurate evaluation.

Hereinafter, specific embodiments of the present disclosure will be described with reference to the drawings. Unless otherwise specified, the hardware configuration, module configuration, functional configuration, etc. described in each embodiment are not intended to limit the technical scope of disclosure to those alone.

(First embodiment)
The outline of the route guidance system according to the first embodiment will be described with reference to FIG. The route guidance system according to the first embodiment assigns an evaluation value to a road link included in the road map data based on the information collected from the vehicle 200A, and uses the road map data to which the evaluation value is assigned. , A system that provides route guidance to the vehicle 200B.

The route guidance system according to the present embodiment includes a vehicle 200 and a server device 100 that generates evaluation information for a road link based on probe data acquired by the vehicle 200.
In the following description, the vehicle that generates the probe data (probe car) is referred to as the vehicle 200A, and the vehicle that receives the road map data is referred to as the vehicle 200B, but both vehicles may be the same. When the two are not distinguished, it is simply referred to as a vehicle 200.

The vehicle 200A is a vehicle that provides probe data to the server device 100. The vehicle 200A acquires data related to the driving operation by using the mounted sensor, and periodically transmits the data as probe data to the server device 100.
In the first embodiment, the vehicle 200A acquires data on acceleration / deceleration per unit time and data on steering operation amount per unit time as data on driving operation.

The server device 100 stores the road map data, and gives a travel recommendation degree to the road link included in the road map data based on the probe data collected from the vehicle 200A. The driving recommendation level in the present embodiment is a value indicating the ease of driving. For example, a road link that is easier to drive is given a higher driving recommendation, and a road link that is more difficult to drive is given a lower driving recommendation.
The server device 100 generates road map data reflecting the driving recommendation level, and transmits the generated road map data to the vehicle 200B when requested by the vehicle 200B.

The vehicle 200B is a vehicle that searches for a route. The vehicle 200B downloads road map data reflecting the recommended driving degree from the server device 100, and searches for a route using the road map data. This makes it possible to generate a route that is easier to drive.

FIG. 2 is a diagram showing in more detail the components of the navigation system according to the present embodiment.

The vehicle 200 includes a control unit 201, a storage unit 202, a communication unit 203, an input / output unit 204, and a sensor 205.

The control unit 201 is a control device that controls the control of the vehicle 200. The control unit 201 may be configured by a plurality of ECUs (Engine Control Units) that control the vehicle. In the following description, the control unit 201 will refer to the ECU that executes the process described in the present embodiment among the plurality of ECUs mounted on the vehicle 200. The control unit 201 may be an in-vehicle computer other than the ECU.

The control unit 201 includes three functional modules of a data acquisition unit 2011, a data transmission unit 2012, and a navigation unit 2013. These functional modules may be realized by executing a program stored in the storage unit 202, which will be described later, by a CPU or an ECU.

The data acquisition unit 2011 generates data (probe data) related to the driving operation performed on the vehicle. In the present embodiment, the probe data includes data indicating an acceleration / deceleration amount per unit time and a steering operation amount per unit time. These data can be acquired by using one or more sensors 205 (described later) possessed by the vehicle 200.

The data transmission unit 2012 periodically transmits the probe data acquired by the data acquisition unit 2011 to the server device 100.

The navigation unit 2013 provides a navigation function to the occupants of the vehicle. Specifically, it provides route guidance and traffic information. The navigation unit 2013 may be configured to be communicable with a unit (GPS module or the like) for acquiring the current position of the vehicle or a unit (communication module or the like) for acquiring traffic information from the outside.

The storage unit 202 includes a main storage device and an auxiliary storage device. The main storage device is a memory in which a program executed by the control unit 201 and data used by the control program are expanded. The auxiliary storage device is a device that stores a program executed by the control unit 201 and data used by the control program. The auxiliary storage device may store a package of a program executed by the control unit 201 as an application. It may also remember the operating system for running these applications. The program stored in the auxiliary storage device is loaded into the main storage device and executed by the control unit 201 to perform the processes described below.
Further, the storage unit 202 may be configured to be able to store data (road map data) for providing the navigation function.

The main storage device may include a RAM (Random Access Memory) and a ROM (Read Only Memory). Further, the auxiliary storage device may include an EPROM (Erasable Programmable ROM) and a hard disk drive (HDD, Hard Disk Drive). Further, the auxiliary storage device may include removable media, that is, a portable recording medium.

The communication unit 203 is a wireless communication interface for connecting the vehicle 200 to the network. The communication unit 203 is configured to be able to communicate with the server device 100 via, for example, a wireless LAN or a mobile communication service such as 3G, LTE, or 5G.
The input / output unit 204 is a unit that receives an input operation performed by the user and presents information to the user. In this embodiment, it is composed of one touch panel display. That is, it is composed of a liquid crystal display and its control means, and a touch panel and its control means.

The sensor 205 includes an acceleration sensor and a steering sensor. The accelerometer can acquire the amount of acceleration / deceleration performed per unit time. In addition, the steering sensor can acquire the amount of steering operation performed per unit time (for example, the total amount of angles). Although the acceleration sensor is illustrated in this embodiment, the acceleration can be calculated by using the value output by the speed sensor.

Next, the server device 100 will be described.
The server device 100 can be configured by a general-purpose computer. That is, the server device 100 can be configured as a computer having a processor such as a CPU or GPU, a main storage device such as RAM or ROM, and an auxiliary storage device such as an EPROM, a hard disk drive, or a removable media. An operating system (OS), various programs, various tables, etc. are stored in the auxiliary storage device, and the programs stored therein are loaded into the work area of the main storage device and executed, and each component unit, etc. is executed through the execution of the program. By controlling the above, it is possible to realize each function that meets a predetermined purpose, as will be described later. However, some or all of the functions may be realized by hardware circuits such as ASICs and FPGAs.

The control unit 101 is an arithmetic unit that controls the control performed by the server device 100. The control unit 101 can be realized by an arithmetic processing device such as a CPU.
The control unit 101 includes four functional modules of a data acquisition unit 1011, a vehicle evaluation unit 1012, a link evaluation unit 1013, and a map generation unit 1014. Each functional module may be realized by executing a stored program by a CPU or an ECU.

The data acquisition unit 1011 acquires probe data from the vehicle 200A under the control of the system. FIG. 3 is an example of probe data transmitted from the vehicle 200A. As shown in the figure, the probe data includes the vehicle identifier, information indicating the date and time when sensing was performed, information indicating the point where sensing was performed, and sensor data (acceleration / deceleration amount and steering operation amount per unit time). ) Is included.

Further, the data acquisition unit 1011 allocates the acquired probe data to the road link. The server device 100 in the present embodiment manages a road on which a vehicle can travel by dividing it into a plurality of road links, and a point corresponding to probe data (that is, a point where sensing is performed) is a predetermined road. Can be associated with a link.

The vehicle evaluation unit 1012 determines the frequency of travel of a vehicle that has transmitted probe data on a certain road link. When the frequency of traveling on a specific road link is higher than a predetermined value for a certain vehicle, it can be determined that the vehicle is accustomed to driving on the road link. In such a case, it is preferable not to use the probe data transmitted from the vehicle for the evaluation, or to reduce the weight at the time of the evaluation. The server device according to the present embodiment is evaluated by the link evaluation unit 1013, which will be described later, based on the frequency determined by the vehicle evaluation unit 1012.

The link evaluation unit 1013 evaluates the ease of driving for each road link based on the stored probe data.
Specifically, the link evaluation unit 1013 operates the road link in which the total amount of acceleration / deceleration per unit time is smaller, which is included in the plurality of probe data corresponding to the target road link, and the steering operation per unit time. Gives higher driving recommendations for road links with smaller sums.

At this time, the link evaluation unit 1013 evaluates by one of the following methods.
(1) Give greater weight to the probe data transmitted from the vehicle with low travel frequency than the probe data transmitted from the vehicle with high travel frequency for the target road link (2) Travel frequency for the target road link The evaluation is performed using only the probe data transmitted from the vehicle whose value is below the predetermined value. By this, the influence of the vehicle accustomed to driving on the target road link can be minimized.

The map generation unit 1014 generates road map data to which a driving recommendation level is given to the road link based on the result of the evaluation performed by the link evaluation unit 1013, and transmits the road map data to the vehicle 200B.

The storage unit 102 includes a main storage device and an auxiliary storage device. The main storage device is a memory in which a program executed by the control unit 101 and data used by the control program are expanded. The auxiliary storage device is a device that stores a program executed by the control unit 101 and data used by the control program.

Further, the storage unit 102 stores the probe data table 102A, the road link table 102B, and the travel history table 102C.

The probe data table 102A is a table that stores probe data received from a plurality of vehicles 200A. FIG. 4 is an example of a probe data table. As shown, probe data received from each of the plurality of vehicles 200A is added to the probe data table as separate records. The "link ID" field stores the identifier of the road link corresponding to the point where the probe data was generated.

The road link table 102B is a table that defines a road link. FIG. 5 is an example of the road link table 102B. As illustrated, the table contains data for defining the geographical location of road links and calculated evaluation values (driving recommendations). The evaluation value is updated at any time by the link evaluation unit 1013.

The travel history table 102C is a table for recording the travel frequency of the vehicle 200 for each of a plurality of road links. FIG. 6 is an example of the travel history table 102C. The travel history table 102C includes a vehicle identifier, a road link identifier, the number of times the vehicle 200 has traveled on the road link, an update date and time, and the like. These records are updated from time to time by the vehicle evaluation unit 1012 based on the data recorded in the probe data table 102A.

The communication unit 103 is a communication interface for connecting the server device 100 to the network. The communication unit 103 includes, for example, a network interface board and a wireless communication module for wireless communication.

The configuration shown in FIG. 2 is an example, and all or part of the illustrated functions may be executed by using a circuit designed exclusively for the present invention. Further, the program may be stored or executed by a combination of a main storage device and an auxiliary storage device other than those shown in the figure.

The processing performed by each module and the details of the data used will be described with reference to FIG. 7, which is a diagram showing data transmitted and received between the modules.

The data acquisition unit 1011 receives probe data from the vehicle 200A. Further, the data acquisition unit 1011 refers to the road link table 102B, associates the points indicated by the newly acquired probe data with the road link, and stores the data in the probe data table 102A. Acquisition of probe data is periodically performed for each of the plurality of vehicles 200 under control.

The vehicle evaluation unit 1012 calculates the number of times the vehicle 200A has traveled on each road link (that is, the frequency of travel) in the past predetermined period based on the probe data stored in the probe data table 102A. The calculated number of runs is stored in the run history table 102C.

The link evaluation unit 1013 evaluates the driving recommendation level for each road link based on the probe data stored in the probe data table 102A, and reflects the result in the road link table 102B. The driving recommendation level can be obtained, for example, by the following procedure.
(1) Obtain the average value of acceleration / deceleration amount per unit time of multiple vehicles in the target road link (2) Average value of steering operation amount per unit time of multiple vehicles in the target road link (3) Integrate the above to calculate a value that represents the frequency of driving operations (4) The smaller the calculated frequency, the higher the driving recommendation level is given to the target road link.

That is, the link evaluation unit 1013 calculates so that the driving recommendation level becomes lower as the average value of the acceleration / deceleration amount is larger and the average value of the steering operation amount is larger. As a result, it is possible to give a lower evaluation to a road on which smooth driving cannot be performed (for example, there are many obstacles, many oncoming vehicles are evacuated, many bends, etc.).

Further, the link evaluation unit 1013 refers to the travel history table 102C to acquire the travel frequency of the vehicle that has transmitted the probe data on the road link, and uses the acquired travel frequency to calculate the travel recommendation level. For example, when there is a vehicle whose traveling frequency on the target road link is higher than a predetermined value, the probe data transmitted from the vehicle may be excluded and the above processing may be performed. Further, when there is such a vehicle, a smaller weight may be given to the data corresponding to the vehicle in the calculation of the driving recommendation degree.
This makes it possible to minimize the influence of probe data transmitted from a vehicle accustomed to driving on the target road link.

The map generation unit 1014 generates road map data in which the driving recommendation level is assigned to each road link based on the information stored in the road link table 102B. The generated road map data is transmitted to the vehicle 200B in response to the request of the vehicle 200B.

The vehicle 200B (navigation unit 2013) searches for a route based on the road map data received from the server device 100. In the search for a route, as in the prior art, a route with a lower total cost associated with the road link (eg, required time or degree of congestion) is generated. Further, the navigation unit 2013 generates a route by using the travel recommendation level generated by the link evaluation unit 1013 in combination with the cost. That is, road links that require less time (less congestion) and are easier to drive are preferentially adopted as part of the route.

FIG. 8 is a diagram showing a process executed by each module included in the server device 100 (control unit 101). Dotted lines in the figure represent data references.

The data acquisition unit 1011 receives probe data from the vehicle 200A in step S11. Further, a road link is assigned to the received probe data (step S12), and the result is stored in the probe data table 102A (step S13). The processes of steps S11 to S13 are executed when probe data is transmitted from each of the plurality of vehicles 200A.

The vehicle evaluation unit 1012 refers to the probe data table 102A and acquires probe data for a specific vehicle (step S21). Then, the traveling frequency for each of the plurality of road links is calculated, and the result is reflected in the traveling history table 102C (step S22). The processes of steps S21 to S22 are executed in a predetermined cycle for each of the plurality of vehicles 200 under the control of the system.

The link evaluation unit 1013 acquires data corresponding to a predetermined period in the past from the probe data table 102A (step S31). Similarly, data corresponding to a predetermined period in the past is acquired from the travel history table 102C (step S32). Then, the recommended driving degree is calculated for each of the plurality of road links by the method described above (step S33). The result of the calculation is reflected in the road link table 102B. The processes of steps S31 to S33 are executed in a predetermined cycle (for example, once a day).

The map generation unit 1014 acquires data from the road link table 102B (step S41) and generates road map data (step S42). As described above, the road map data is assigned a driving recommendation level for each road link. The generated road map data is distributed in response to a request from the vehicle 200B. The processes of steps S41 to S42 may be executed at a predetermined cycle, or may be executed when requested by the vehicle 200B.

As described above, the server device 100 according to the present embodiment assigns a higher driving recommendation level to a road link that can be passed by a simpler driving operation based on the probe data collected from the vehicle 200A. At this time, whether or not to adopt the data is determined or the weight for the data is determined based on the traveling frequency of the probe car on the road link. This makes it possible to evaluate road links in consideration of the degree of skill of the driver.

In the description of the embodiment, the traveling frequency is classified into two according to the threshold value, but other methods may be adopted. In calculating the driving recommendation level, it is preferable to use probe data transmitted from probe cars having similar driving frequencies. Therefore, the driving frequency may be classified into classes, and the driving recommendation level may be calculated using only the probe data transmitted from the probe car belonging to the predetermined class.

(Modification 1 of the first embodiment)
In the first embodiment, the driving recommendation level is determined based on the acceleration / deceleration amount and the steering operation amount, but the driving recommendation level may be determined by using other data in combination.
For example, when the vehicle 200A has an image sensor, the driving recommendation level for the road link may be determined based on the image acquired by the vehicle 200A or the data obtained by analyzing the image. .. Since the information obtained from the image (for example, the width of the road, the shape of the road, the presence or absence of a street light, etc.) is irrelevant to the skill level of the driver, the driving frequency is not involved when using this information. Is preferable.

(Modification 2 of the first embodiment)
In the first embodiment, the traveling frequency of the vehicle 200A is determined for each road link, but "whether a vehicle is accustomed to driving on the target road link" may be determined based on other information. For example, the server device 100 holds data on the home base of the vehicle (for example, the parking lot at home) for each vehicle 200A, and determines that the road link within a predetermined range from the home base is accustomed to running. May be good.
In this way, the server device 100 may indirectly estimate the traveling frequency of the target road link.

(Modification 3 of the first embodiment)
In the first embodiment, the driving recommendation level is uniformly calculated for a plurality of road links, but the driving environment on the road may change depending on the time zone. For example, the number of bicycles and pedestrians may increase or decrease depending on the day of the week and the time of day. In order to cope with this, the server device 100 may calculate the travel recommendation degree for each day of the week or time zone. In this case, the server device 100 may generate a plurality of road map data for each day of the week or time zone, and may transmit an appropriate one among them to the vehicle 200B.

(Modification example)
The above embodiment is merely an example, and the present disclosure may be appropriately modified and implemented without departing from the gist thereof.
For example, the processes and means described in the present disclosure can be freely combined and carried out as long as technical inconsistencies do not occur.

Further, the processing described as being performed by one device may be shared and executed by a plurality of devices. Alternatively, the process described as being performed by different devices may be performed by one device. In a computer system, it is possible to flexibly change what kind of hardware configuration (server configuration) is used to realize each function.

The present disclosure can also be realized by supplying a computer program having the functions described in the above embodiment to the computer, and reading and executing the program by one or more processors possessed by the computer. Such a computer program may be provided to the computer by a non-temporary computer-readable storage medium that can be connected to the computer's system bus, or may be provided to the computer via a network. Non-temporary computer-readable storage media include, for example, any type of disc such as a magnetic disc (floppy (registered trademark) disc, hard disk drive (HDD), etc.), optical disc (CD-ROM, DVD disc, Blu-ray disc, etc.). Includes read-only memory (ROM), random access memory (RAM), EPROM, EEPROM, magnetic cards, flash memory, optical cards, and any type of medium suitable for storing electronic instructions.

100 ... Server device 101, 201 ... Control unit 102, 202 ... Storage unit 103, 203 ... Communication unit 200 ... Vehicle 204 ... Input / output unit 205 ... Sensor

Claims (1)

Receiving vehicle data, including data related to the driving operation of the vehicle, from a vehicle traveling on a predetermined road link, and
Acquiring information on the frequency with which the vehicle that transmitted the vehicle data has traveled on the road link in the past predetermined period.
To calculate the evaluation value for the road link based on the information regarding the frequency acquired for the vehicle and the vehicle data received from the vehicle.
An information processing device having a control unit for executing the above.

Images