JP2024015078A - Information processing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device capable of accurately outputting intersection stress levels.

SOLUTION: A vehicle-mounted device 2 determines whether a vehicle made a shortcut right turn or not based on an output of an azimuth sensor 24, and transmits a determination result and environmental information of an intersection to a server device 3A. The server device 3A derives statistical information on shortcut right turns from the determination result, and assesses a level of stress given to a driver of the vehicle 4 by the intersection using the statistical information and the environmental information.

SELECTED DRAWING: Figure 1

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention relates to an information processing device.

BACKGROUND ART Conventionally, a method has been proposed that searches for a route by determining the safety level of an intersection depending on the presence or absence of a traffic light (Patent Documents 1 and 2). However, depending on the intersection, even if there is no traffic light, for example, if the traffic volume is low, the level of safety will increase, and it may be possible to cross without stress. Furthermore, even if there is a traffic light, if the view is poor, safety is low, and drivers are forced to check their own safety, which can increase stress. For this reason, one example of the problem is that it is not possible to accurately determine the stress level of an intersection based solely on the presence or absence of traffic lights.

Japanese Patent Application Publication No. 2017-173136 JP2016-99758A

An example of the present invention is to address such problems. That is, an object of the present invention is to provide an information processing device that can output the stress level of an intersection with high accuracy, for example.

The information processing device according to claim 1, which is made to solve the above-mentioned problem, includes a first acquisition unit that acquires statistical information about a small right turn of a mobile object at an intersection, and a second acquisition unit that acquires environmental information at the intersection. The present invention is characterized in that it includes an acquisition unit and an output unit that outputs the degree of stress that the intersection gives to a driver of a mobile object based on the statistical information and the environmental information.

Further, the information processing method according to claim 7 includes a first acquisition step of acquiring statistical information about a small right turn of a mobile object at an intersection, a second acquisition step of acquiring environmental information at the intersection, and a second acquisition step of acquiring the statistical information and The present invention is characterized by comprising an output step of outputting a degree of stress given to a driver of a mobile object by the intersection based on the environmental information.

The information processing program according to claim 8 is an information processing program that causes a computer to execute the information processing program, and the information processing program includes a first acquisition unit that causes the computer to acquire statistical information about a small right turn made by a mobile object at an intersection; The present invention is characterized in that it functions as a second acquisition unit that acquires environmental information at the intersection, and an output unit that outputs the degree of stress that the intersection gives to a driver of a mobile object based on the statistical information and the environmental information. .

Furthermore, a recording medium according to claim 9 is characterized in that the information processing program according to claim 8 is recorded.

1 is a system configuration using an information processing device according to an embodiment of the present invention. It is an explanatory view for explaining a small right turn. FIG. 2 is a functional configuration diagram of the on-vehicle device shown in FIG. 1. FIG. 2 is a functional configuration diagram of the server device shown in FIG. 1. FIG. It is a graph showing changes in orientation per unit traveling distance for each traveling distance when making a recommended right turn and when making a short right turn. 2 is a flowchart showing a small turn determination processing procedure executed by the on-vehicle device shown in FIG. 1. FIG. 2 is a flowchart showing a stress level evaluation processing procedure executed by the server device 3A shown in FIG. 1. FIG.

An information processing device according to an embodiment of the present invention includes: a first acquisition unit that acquires statistical information about a small right turn of a mobile object at a predetermined intersection; a second acquisition unit that acquires environmental information at the intersection; The present invention is characterized by comprising an output unit that outputs the degree of stress that the intersection gives to a driver of a mobile object based on the statistical information and the environmental information. As a result, the stress level is output based on the statistical information of the short right turn and the environmental information obtained when the moving object actually turns right at a predetermined intersection, so the stress level of the intersection can be output with high accuracy.

Further, the environmental information may be at least one of the flow rate of moving objects passing through the intersection, information on the view of the intersection, and information on traffic lights at the intersection. Thereby, the stress level of the intersection can be output with higher accuracy.

Furthermore, the device may further include a route search unit that searches for a route based on the stress level. Thereby, a route with a low stress level can be guided.

Furthermore, the device may further include a notification unit that reports the stress level. This allows the user to be informed of the stress level.

Further, the stress level may be associated with a node indicating the intersection included in the map data. Thereby, it is possible to associate the stress level within the map data.

Further, the output unit may output the stress level of the intersection for each time period.

Further, an information processing method according to an embodiment of the present invention includes: a first acquisition step of acquiring statistical information about a small right turn of a mobile object at an intersection; a second acquisition step of acquiring environmental information at the intersection; The present invention is characterized by comprising an output step of outputting the degree of stress that the intersection gives to a driver of a mobile object, based on the statistical information and the environmental information. As a result, the stress level is output based on the statistical information on the short right turn and the environmental information obtained when the moving object actually turns right at a predetermined intersection, so the stress level at the intersection can be output with high accuracy.

Further, the information processing method described above may be implemented as an information processing program that causes a computer to execute the information processing method. Since it is a program executed by a computer in this way, there is no need for dedicated hardware, and it can be installed and functioned in a general-purpose information processing device.

Further, the information processing program described above may be stored in a computer-readable recording medium. By doing so, the program can be distributed as a standalone program in addition to being incorporated into a device, and version upgrades can be easily performed.

The information processing method of the present invention will be explained with reference to FIGS. 1 to 7.

An information processing system 1 implementing the information processing method of the present invention includes an on-vehicle device 2, a server device 3A as an information processing device, and a server device 3B for creating map data and searching for a route. The on-vehicle device 2 is a device that determines whether or not the vehicle has made a short right turn at an intersection, and transmits data including the determination result and environmental information of the intersection to the server device 3A. The on-vehicle device 2 is mounted on a vehicle 4 as a moving object that travels on a road.

Next, the above-mentioned short right turn will be explained with reference to FIG. 2. According to the Road Traffic Act, when making a right turn, the vehicle 4 must move as close to the center of the road as possible from the front, as shown by the travel trajectory T1 indicated by the dotted line, and move to the nearest inside of the intersection center O1. It is recommended that you drive slowly. On the other hand, a short right turn refers to a right turn away from the center O1 of the intersection, as shown in the travel trajectory T2 represented by a solid line. The traveling trajectory T2 of the short right turn is a trajectory that connects the vicinity of the intersection entrance En and the vicinity of the intersection exit Ex with a substantially straight line without making a large turn like the recommended traveling trajectory T1. For this reason, a short right turn is also called a shortcut.

Further, in this embodiment, the on-vehicle device 2 installed in the vehicle 4 will be described as an example of a terminal capable of communicating with the server devices 3A and 3B, but it is also possible to use a mobile terminal such as a smartphone that can be placed in the vehicle 4. Good too.

The server device 3A receives and collects the determination result of whether or not the vehicle has made a short right turn and environmental information from the on-vehicle device 2 passing through the intersection. The server device 3A is capable of communicating with the on-vehicle device 2 via a network N such as the Internet, for example, and uses the network N to acquire determination results and environmental information from the on-vehicle device 2. The server device 3A also obtains statistical information on short right turns from the determination results sent from the vehicles 4 (for example, information on what percentage of the vehicles 4 that turned right made a short right turn and what percentage did not make a short right turn). The system acquires, evaluates, calculates, calculates, and outputs the degree of stress given to drivers at intersections based on statistical information and intersection environmental information.

The server device 3A receives and collects data from the on-vehicle device 2 passing through the intersection. The server device 3A is capable of communicating with the vehicle-mounted device 2 via a network N such as the Internet, for example, and acquires data from the vehicle-mounted device 2 using the network N.

The server device 3B receives the stress level for each intersection output from the server device 3A, and associates the stress level with the node indicating the intersection that constitutes the map data. Further, the server device 3B functions as a route search unit, searches for a route based on map data associated with stress levels, and transmits the searched route to the on-vehicle device 2.

The functional configuration of the vehicle-mounted device 2 is shown in FIG. 3. The on-vehicle device 2 includes a control section 21, an input/output section 22, a recording device 23, an orientation sensor 24, and a sensor section 25.

The control unit 21 functions as a processor such as a CPU (Central Processing Unit) of the vehicle-mounted device 2 and manages the overall control of the vehicle-mounted device 2 . The control unit 21 determines whether the vehicle 4 on which the on-vehicle device 2 is mounted has made a short right turn at the intersection, and transmits data including the determination result and the environmental information of the intersection to the server device 3A.

The input/output unit 22 functions as a network interface of the on-vehicle device 2 and transmits data.

The recording device 23 is comprised of a hard disk or the like, and records data transmitted by the control unit 21 to the server device 3A, map data, and the like.

The orientation sensor 24 is a sensor for acquiring information regarding the orientation indicating the progress of the vehicle 4. The azimuth sensor 24 includes, for example, a gyro sensor that detects the lateral angular velocity (=change in azimuth per unit time) of the vehicle 4, a magnetic sensor that detects the azimuth itself from magnetism, and the like.

The sensor unit 25 includes a GPS (Global Positioning System) receiver 25A and a speed sensor 25.
B. It includes various sensors such as an acceleration sensor and an on-vehicle camera (not shown). The GPS receiver 25A acquires current position information of the vehicle 4. As is well known, the GPS receiver 25A periodically receives radio waves emitted from a plurality of GPS satellites, obtains current position information and time, and outputs the obtained information to the control unit 21. Speed sensor 25B detects the speed of vehicle 4 and outputs it to control section 21.

Next, FIG. 4 shows the functional configuration of the server devices 3A and 3B. The server devices 3A and 3B include a recording device 31, a control section 32, and an input/output section 33.

The recording device 31 is composed of a hard disk or the like, and various data are recorded therein. The control unit 32 functions as a processor such as a CPU of the server devices 3A, 3B, and manages the overall control of the server devices 3A, 3B.

The input/output unit 33 functions as a network interface for the server devices 3A and 3B, and receives data from the on-vehicle device 2 and executes communication between the server devices 3A and 3B.

Next, before explaining the operation of the information processing system 1, an example of a method for determining a short right turn executed by the on-vehicle device 2 will be explained with reference to FIG. 5 and the like. When the vehicle 4 makes the recommended right turn, it goes straight from the intersection entrance En towards the center O1 of the intersection, as shown in the travel trajectory T1 in FIG. 2, and changes direction by turning the steering wheel near the center O1 of the intersection. do. After changing the direction, the vehicle 4 exits from the exit Ex of the intersection while going straight.

In this way, when the vehicle 4 makes the recommended right turn, it turns to the right while the steering wheel is turned, and the turning angle of the steering wheel is often the largest near the center O1 of the intersection, resulting in a change in direction per unit distance traveled. As shown in FIG. 5(A), one large peak appears.

On the other hand, when the vehicle 4 makes a short right turn, the vehicle 4 turns the steering wheel at the intersection entrance En, changes its direction, and enters the intersection, as shown by the travel trajectory T2 in FIG. 2, and then proceeds almost straight through the intersection. Thereafter, the vehicle 4 turns the steering wheel again at the intersection exit Ex, changes direction, and exits the intersection. In this way, when the vehicle 4 makes a short right turn, the steering angle at the entrance En and exit Ex of the intersection is large, and the steering angle often becomes small near the center O1, and the direction of the vehicle 4 changes with respect to the distance traveled. As for the change, two peaks appear as shown in FIG. 5(B). Note that the magnitudes of the two peaks for the short right turn are smaller than the magnitude of one peak for the recommended right turn.

Therefore, in this embodiment, the control unit 21 of the on-vehicle device 2 (hereinafter simply abbreviated as "on-vehicle device 2") does not perform a small right turn when the peak number of changes in direction per unit traveling distance is one. When the number of peaks is two, it is determined that the vehicle is making a short right turn. Then, the vehicle-mounted device 2 transmits the determination result to the server device 3A.

Next, the determination timing of the above-mentioned short right turn will be explained. The onboard device 2 determines whether or not the vehicle 4 is turning right at the intersection, and determines whether the vehicle 4 has made the above-mentioned short right turn based on the output of the direction sensor 24 while it is determined that the vehicle 4 is turning right at the intersection. conduct. The determination of whether the vehicle 4 is turning right at an intersection is performed, for example, as follows. When the vehicle-mounted device 2 determines that the vehicle is moving through an intersection while the right turn signal is being operated, it determines that the vehicle is turning right.

The onboard device 2 does not determine that the vehicle is turning right unless the vehicle is moving through an intersection when the right turn signal is operated. The determination of whether or not the vehicle is moving through an intersection is made based on, for example, whether the current position of the vehicle 4 obtained by the GPS receiver 25A is at the intersection position on the map data recorded in the recording device 23. be able to. It is also possible to determine whether the vehicle is moving through an intersection based on the image data captured by the camera.

Note that the determination of whether or not the vehicle is turning right at an intersection is not limited to the operation of the turn signal. If the current position of the vehicle 4 is on an intersection when it is determined from the output of the direction sensor 24 that the vehicle is turning clockwise, it can also be determined that the vehicle 4 is turning right at the intersection. Alternatively, it may be determined whether or not the vehicle is turning right at an intersection based on the travel trajectory of the vehicle 4 obtained from the current position.

Next, the operation of the information processing system 1 will be explained. First, the small turning determination process executed by the on-vehicle device 2 will be described with reference to FIG. 6.

The vehicle-mounted device 2 executes the small turning determination process at certain timings, or every time the vehicle travels a certain distance. In the small turning determination process, the on-vehicle device 2 determines whether the vehicle 4 has turned right at the intersection (step S1). When the on-vehicle device 2 determines that the intersection is turning right (Y in step S1), it captures the output of the direction sensor 24 during the determination, and determines a short right turn based on the time series data of the captured output. After that (step S2), the process proceeds to step S3.

The on-vehicle device 2 determines the change in orientation per unit traveling distance with respect to the travel distance based on the output of the orientation sensor 24 in the short turn determination in step S2, and if there is one peak, determines that it is a right turn that is not a short right turn. do. On the other hand, if there are two peaks, the on-vehicle device 2 determines that it is a short right turn.

In step S3, the on-vehicle device 2 generates data including the determination result of a short right turn, environmental information of the intersection where the determination was made, and time information of the right turn, and stores it in the recording device 23. The environmental information includes the flow rate of vehicles passing through the intersection, information on the visibility of the intersection, information on the traffic lights at the intersection (presence or absence of an arrow traffic light for right turns), the average speed of the vehicle 4 when turning right, and the size of the city where the intersection is located ( Possible factors include (urban area, rural area, etc.), the road type of the intersection (national highway, narrow street, etc.), etc. The on-vehicle device 2 acquires the flow rate at the intersection, information on the view of the intersection, and environmental information on the intersection by, for example, analyzing image data captured by a camera. Thereafter, the on-vehicle device 2 transmits the generated data to the server device 3A (step S4), and ends the process.

Next, the stress level evaluation process executed by the server device 3A will be described with reference to FIG. 7. By using the flowchart shown in FIG. 7 as a computer program, the server device 3A becomes an information processing program that causes the computer to execute the cloth processing method.

The server device 3A functions as a second acquisition unit, and upon receiving data including determination results, stores the data in the recording device 31. The server device 3A executes stress level output processing at a predetermined timing, such as when a predetermined amount or more of data is received from the on-vehicle device 2, or every predetermined time. In the stress level output process, the control unit 32 of the server device 3A (hereinafter simply abbreviated as the server device) functions as a first acquisition unit, and obtains information based on a collection of data including determination results stored in the recording device 31. Then, statistical information about the short right turn of the vehicle 4 is obtained for each intersection (step S21). Statistical information includes vehicle 4 making a right turn at an intersection (vehicle 4 transmitting data).
) is information indicating what percentage of the turns were short right turns, or what percentage of the turns were non-short right turns. Note that the statistical information may be obtained for each time period (by time period).

Next, the server device 3A evaluates (calculates) the degree of stress that the intersection gives to the driver of the vehicle 4 based on the statistical information and the environmental information of the intersection included in the data from the on-board device 2 (step S2).

An example of a method for evaluating the stress level of the server device 3A in step S2 will be described. In this embodiment, an example will be described in which the stress level is evaluated in four stages: "strong," "medium," "weak," and "- (none)."

First, a case where the flow rate of the vehicle 4 passing through the intersection is used as the environmental information will be described with reference to Table 1 below. The server device 3A determines whether the flow rate at the intersection is high or low based on the flow rate (environmental information) included in the data collection used when obtaining the statistical information. If the information included in the data is, for example, information about the number of vehicles at an intersection, the server device 3A determines that the flow rate is high if the number is greater than or equal to a predetermined number, and determines that the flow rate is low if it is less than the predetermined number. do. This determination may be made on the vehicle-mounted device 2 side, and information on whether the flow rate is high or low may be transmitted to the server device 3A as environmental information.

Furthermore, the server device 3A determines whether the frequency of small right turns is high or low based on statistical information. The server device 3A strongly evaluates the stress level as the flow rate increases or as the frequency of small right turns increases. Conversely, as the flow rate decreases or as the frequency of small right turns decreases, the stress level is evaluated weakly.

In this embodiment, the server device 3A determines the stress level to be "strong" when the flow rate and the frequency of small right turns are high, as shown in Table 1 above. Further, the server device 3A determines the stress level to be "weak" when the flow rate is high and the frequency of short right turns is low, and when the flow rate is low and the frequency of short right turns is high. Furthermore, if the flow rate is low and the frequency of small right turns is low, the server device 3A determines the stress level to be "- (none)".

Next, a case where traffic light information is used as the environment information will be described with reference to Table 2 below. Based on the traffic light information, the server device 3A evaluates the stress level weakly if the intersection has an arrow signal, and evaluates the stress level strongly if the intersection does not have an arrow signal. Furthermore, the server device 3A evaluates the stress level more strongly as the frequency of short right turns increases, and evaluates the stress level as lower as the frequency of short right turns decreases.

In this embodiment, as shown in Table 2 above, if there is no arrow traffic light and the frequency of small right turns is high, the server device 3A determines the stress level to be "strong". Further, the server device 3A evaluates the stress level as "medium" when there is an arrow traffic light and the frequency of small right turns is high. The server device 3A evaluates the stress level as "- (none)" if the frequency of short right turns is low, regardless of whether there is a traffic light or not.

Next, a case where view information is used as the environment information will be described with reference to Table 3 below. Based on the view information, the server device 3A evaluates the stress level strongly if the view is poor, and evaluates the stress level low if the view is good. In this embodiment, as shown in Table 3 below, the server device 3A evaluates the stress level as "strong" when the visibility is poor and the frequency of small right turns is high, and when the visibility is poor and the frequency of small right turns is low, the server device 3A evaluates the stress level as "strong". , rate the stress level as "weak." Further, at an intersection with a good view, many vehicles 4 make a short right turn. Therefore, in this embodiment, when the view is good, the stress level is evaluated as "- (none)" regardless of whether the frequency of small right turns is high or low.

Next, the case where the average speed is used as the environmental information will be explained with reference to Table 4 below. The server device 3A evaluates the stress level more strongly as the average speed becomes slower, and evaluates the stress level lower as the average speed becomes faster. In this embodiment, the server device 3A evaluates the stress level as "strong" when the average speed is low and the frequency of small right turns is high, as shown in Table 4 below. Further, the server device 3A evaluates the stress level as "weak" when the average speed is low and the frequency of short right turns is low, and when the average speed is high and the frequency of short right turns is high. Furthermore, if the average speed is high and the frequency of small right turns is low, the server device 3A evaluates the stress level as "- (none)".

Note that when obtaining statistical information for each time period, the server device 3A also evaluates the stress level for each time period.

After evaluating the stress level for each intersection, the server device 3A records the evaluation results in the recording device 31 (step S3), and ends the process.

Next, a description will be given of in what situations the stress level determined by the server device 3A is utilized. First, a case will be described in which the in-vehicle device 2 is used to notify the calculated stress level. The server device 3A receives the current position through communication with the vehicle-mounted device 2. The server device 3A functions as an output unit, and transmits (outputs) to the on-vehicle device 2, for example, stress levels of intersections around the current location of the on-vehicle device 2. When the vehicle-mounted device 2 receives the stress levels of intersections around the current location, it functions as a notification unit and causes the display unit to display the received stress levels of the intersections. Thereby, it is possible to notify the user of the stress level of the intersection.

Next, a case will be described in which the determined stress level is reflected in map data and used for route searching. The server device 3A functions as an output unit and transmits (outputs) the stress level for each intersection to the server device 3B for creating map data and for route searching.

Map data is data that includes a road network. The road network includes nodes set on the road, such as intersections, and links along the road, which are line segments connecting the nodes. When the control unit 32 (hereinafter abbreviated as server device 3B) of the server device 3B receives the stress level for each intersection, it stores the stress level in association with the node indicating the received intersection.

Further, the server device 3B functions as a route search unit, and upon receiving a route search command including the current position and destination from the on-vehicle device 2, performs a route search based on the map data associated with the stress level as described above. Thereby, the server device 3B can search for a route with a low stress level. Then, the server device 3B transmits the searched route to the on-vehicle device 2. When the vehicle-mounted device 2 receives the route, it guides the user along the route.

According to the embodiment described above, the on-vehicle device 2 outputs the stress level based on the statistical information of the short right turn and the environmental information obtained when the vehicle 4 actually turns right at a predetermined intersection. The stress level can be output.

According to the embodiment described above, the environmental information is one of the flow rate of moving objects passing through the intersection, information on the view of the intersection, and information on traffic lights at the intersection. Thereby, the stress level of the intersection can be output with higher accuracy.

In the above-described embodiment, the on-vehicle device 2 transmits data including the determination result to the server device 3A each time it makes a sharp turn determination based on the output of the azimuth sensor 24, but the present invention is not limited to this. do not have. The data may be transmitted to the server device 3A at any time, or multiple pieces of data may be transmitted at once.

Further, in the above-described embodiment, the on-vehicle device 2 determines whether to make a short right turn, but the present invention is not limited to this. For example, the on-vehicle device 2 may transmit the output of the direction sensor 24 to the server device 3A, and the server device 3A may determine whether to make a short right turn based on the received output of the direction sensor 24.

Further, in the above-described embodiment, the vehicle-mounted device 2 makes a sharp turn determination based on the output of the azimuth sensor 24, but the present invention is not limited to this. For example, the small turning determination may be made based on the travel trajectory obtained from the current position information obtained from the GPS receiver 25A. That is, the on-vehicle device 2 determines that the travel trajectory is a short right turn if the travel trajectory is a route that is more than a threshold distance from the center O1 of the intersection, and it is not a short right turn if the travel trajectory is a route that is less than the threshold distance from the center O1. It may be determined that

Note that the present invention is not limited to the above embodiments. That is, various modifications can be made without departing from the gist of the invention.

2 On-vehicle device (notification section)
3A Server device (information processing device, first acquisition unit, second acquisition unit, output unit)
3B Server device (route search section)

Claims (1)

a first acquisition unit that acquires statistical information about a small right turn made by a mobile object at a predetermined intersection;
a second acquisition unit that acquires environmental information at the intersection;
An information processing device comprising: an output unit that outputs a degree of stress that the intersection gives to a driver of a mobile object based on the statistical information and the environmental information.

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