Information processing device

Abstract

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

Description

Technical Field

[0001] The present invention relates to an information processing apparatus.

Background Art

[0002] Conventionally, there has been proposed a method of determining the safety level of an intersection according to the presence or absence of traffic lights and performing route search (Patent Documents 1 and 2). However, depending on the intersection, even if there is no traffic light, for example, if the traffic volume is small, the safety level increases and it may be possible to cross the intersection without stress. Also, even if there is a traffic light, for example, if the visibility is poor, the safety is low and the driver is forced to confirm safety by himself / herself, so the stress may increase. For this reason, as an example, there is a problem that the stress level of the intersection cannot be accurately determined only by the presence or absence of traffic lights.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0004] An example of the problem to be addressed by the present invention is to solve such problems. That is, an object of the present invention is to provide, for example, an information processing apparatus that can accurately output the stress level of an intersection.

Means for Solving the Problems

[0005] The information processing apparatus according to claim 1, which is made to solve the above-described problems, includes: a first acquisition unit that acquires statistical information on a moving body making a tight right turn at an intersection; a second acquisition unit that acquires environmental information at the intersection; and an output unit that outputs a stress level that the intersection gives to a driver of the moving body based on the statistical information and the environmental information.

[0006] Further, the information processing method according to claim 7 includes: a first acquisition step of acquiring statistical information on a moving body making a tight right turn at an intersection; a second acquisition step of acquiring environmental information at the intersection; and an output step of outputting a stress level that the intersection gives to a driver of the moving body based on the statistical information and the environmental information.

[0007] Further, the information processing program according to claim 8 is an information processing program for causing a computer to function as: a first acquisition unit that acquires statistical information on a moving body making a tight right turn at an intersection; a second acquisition unit that acquires environmental information at the intersection; and an output unit that outputs a stress level that the intersection gives to a driver of the moving body based on the statistical information and the environmental information.

[0008] Further, the recording medium according to claim 9 stores the information processing program according to claim 8.

Brief Description of the Drawings

[0009]

Figure 1

Figure 2

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Figure 7

Embodiments for Carrying Out the Invention

[0010] An information processing apparatus according to an embodiment of the present invention includes a first acquisition unit that acquires statistical information on a small turning right turn of a moving body at a predetermined intersection, a second acquisition unit that acquires environmental information at the intersection, and an output unit that outputs a stress level given by the intersection to a driver of the moving body based on the statistical information and the environmental information. According to this, since the stress level is output based on the statistical information and environmental information of the small turning right turn obtained when the moving body actually turns right at a predetermined intersection, the stress level of the intersection can be accurately output.

[0011] Further, the environmental information may be at least one of the traffic flow of moving bodies passing through the intersection, the visibility information of the intersection, and the traffic signal information of the intersection. According to this, the stress level of the intersection can be output more accurately.

[0012] Further, it may further include a route search unit that searches for a route based on the stress level. According to this, a route with a low stress level can be guided.

[0013] Further, it may further include a notification unit that notifies the stress level. According to this, the stress level can be notified to the user.

[0014] Further, the stress level may be associated with a node indicating the intersection constituting the map data. According to this, the stress level can be associated within the map data.

[0015] Further, the output unit may output the stress level of the intersection for each time zone.

[0016] In addition, an information processing method according to an embodiment of the present invention includes: a first acquisition step of acquiring statistical information on a vehicle making a tight right turn at an intersection; a second acquisition step of acquiring environmental information at the intersection; and an output step of outputting a stress level imposed on a driver of the vehicle by the intersection based on the statistical information and the environmental information. Thus, based on the statistical information and environmental information of the tight right turn obtained when the vehicle actually makes a right turn at a predetermined intersection, the stress level can be output, so that the stress level of the intersection can be accurately output.

[0017] Further, it may be an information processing program for causing a computer to execute the above-described information processing method. Since it is a program executed by a computer in this way, dedicated hardware or the like is not required, and it can be installed and functioned in a general-purpose information processing device.

[0018] Further, the above-described information processing program may be stored in a computer-readable recording medium. By doing so, the program can be distributed not only when incorporated into a device but also alone, and version updates and the like can be easily performed.

Example

[0019] The information processing method of the present invention will be described with reference to FIGS. 1 to 7.

[0020] An information processing system 1 for implementing the information processing method of the present invention includes an in-vehicle device 2, a server device 3A as an information processing device, and a server device 3B for creating map data and route search. The in-vehicle device 2 is a device that determines whether a tight right turn has been made at an intersection and transmits data including the determination result and environmental information of the intersection to the server device 3A. The in-vehicle device 2 is mounted on a vehicle 4 as a moving object traveling on a road.

[0021] Next, the above-mentioned tight right turn will be described with reference to FIG. 2. According to the Road Traffic Law, when making a right turn, the vehicle 4 is recommended to get as close as possible to the center of the road in advance as shown by the driving trajectory T1 represented by the dotted line, and to slowly proceed inside the immediate vicinity of the center O1 of the intersection. On the other hand, a tight right turn refers to a right turn away from the center O1 of the intersection, as shown by the driving trajectory T2 represented by the solid line. The driving trajectory T2 of the tight right turn is a trajectory that connects the vicinity of the intersection entrance En and the vicinity of the intersection exit Ex almost linearly without making a wide turn like the recommended driving trajectory T1. Therefore, the tight right turn is also called a shortcut.

[0022] Also, in this embodiment, the in-vehicle device 2 mounted on the vehicle 4 is taken as an example of a terminal capable of communicating with the server devices 3A and 3B for explanation, but a mobile terminal that can be arranged in the vehicle 4 such as a smartphone may also be used.

[0023] The server device 3A receives and collects the determination result of whether the in-vehicle device 2 has made a tight right turn and the environmental information from the in-vehicle device 2 passing through the intersection. The server device 3A is communicable with the in-vehicle device 2 via a network N such as the Internet, for example, and acquires the determination result and the environmental information from the in-vehicle device 2 using the network N. Further, the server device 3A acquires statistical information on tight right turns (for example, information on what percentage of the vehicles 4 that have made a right turn have made a tight right turn and what percentage have not made a tight right turn) from the determination result transmitted from the vehicle 4, and evaluates, calculates, and determines the stress level given to the drivers at the intersection based on the statistical information and the environmental information of the intersection, and outputs it.

[0024] The server device 3A receives and collects data from the in-vehicle device 2 passing through the intersection. The server device 3A is communicable with the in-vehicle device 2 via a network N such as the Internet, for example, and acquires the data from the in-vehicle device 2 using the network N.

[0025] The server device 3B receives the stress level for each intersection output from the server device 3A, and associates the stress level with the nodes indicating the intersections that make up the map data. Also, the server device 3B functions as a route search unit, searches for a route based on the map data with the stress level associated therewith, and transmits the searched route to the in-vehicle device 2.

[0026] The functional configuration of the in-vehicle device 2 is shown in FIG. 3. The in-vehicle device 2 includes a control unit 21, an input / output unit 22, a recording device 23, a direction sensor 24, and a sensor unit 25.

[0027] The control unit 21 functions as a processor such as a CPU (Central Processing Unit) of the in-vehicle device 2 and controls the in-vehicle device 2 as a whole. The control unit 21 determines whether or not the vehicle 4 on which the in-vehicle device 2 is mounted has made a right turn at an intersection, and transmits data including the determination result and environmental information of the intersection to the server device 3A.

[0028] The input / output unit 22 functions as a network interface of the in-vehicle device 2 and transmits data.

[0029] The recording device 23 is composed 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.

[0030] The direction sensor 24 is a sensor for acquiring information regarding the direction indicating the progress of the vehicle 4. The direction sensor 24 is composed of, for example, a gyro sensor that detects the angular velocity in the left-right direction of the vehicle 4 (= change in direction per unit time), a magnetic sensor that detects the direction itself from magnetism, and the like.

[0031] The sensor unit 25 includes various sensors such as a GPS (Global Positioning System) receiver 25A, a speed sensor 25B, an acceleration sensor (not shown), and an in-vehicle camera. The GPS receiver 25A acquires the current position information of the vehicle 4. As is well known, the GPS receiver 25A periodically receives radio waves oscillated from a plurality of GPS satellites, determines the current position information and time, and outputs them to the control unit 21. The speed sensor 25B detects the speed of the vehicle 4 and outputs it to the control unit 21.

[0032] Next, the functional configuration of the server devices 3A and 3B is shown in FIG. 4. The server devices 3A and 3B include a recording device 31, a control unit 32, and an input / output unit 33.

[0033] 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 and 3B, and is in charge of overall control of the server devices 3A and 3B.

[0034] The input / output unit 33 functions as a network interface of the server devices 3A and 3B, receives data from the in-vehicle unit 2, and executes communication between the server devices 3A and 3B.

[0035] Next, before explaining the operation of the information processing system 1, an example of a method for determining a tight right turn executed by the in-vehicle unit 2 will be described with reference to FIG. 5 and the like. When making a recommended right turn, as shown in the driving trajectory T1 of FIG. 2, the vehicle 4 travels straight from the intersection entrance En toward the center O1 of the intersection, and turns the steering wheel near the center O1 of the intersection to change the direction. After changing the direction, the vehicle 4 exits from the intersection exit Ex while traveling straight.

[0036] In this way, when making a recommended right turn, the vehicle 4 turns right while turning the steering wheel, and the steering angle is often the largest near the center O1 of the intersection. The change in direction per unit travel distance shows one large peak as shown in FIG. 5(A).

[0037] On the one hand, when making a tight right turn, as shown by the driving trajectory T2 in FIG. 2, vehicle 4 changes its direction by turning the steering wheel at the intersection entrance En and enters, and then travels almost straight within the intersection. After that, vehicle 4 changes its direction again by turning the steering wheel at the intersection exit Ex and exits the intersection. Thus, when making a tight right turn, vehicle 4 often has a large steering angle at the entrance En and exit Ex of the intersection and a small steering angle near the center O1. As shown in FIG. 5(B), for the change in direction with respect to the driving distance, two peaks appear. Note that the magnitudes of the two peaks of the tight right turn are smaller than the magnitude of one peak of the recommended right turn.

[0038] Therefore, in this embodiment, the control unit 21 of the in-vehicle device 2 (hereinafter simply abbreviated as "in-vehicle device 2") determines that a tight right turn is not made when the number of peaks of the change in direction per unit driving distance is one, and determines that a tight right turn is made when the number of peaks is two. Then, the in-vehicle device 2 transmits the determination result to the server device 3A.

[0039] Next, the determination timing of the above-described tight right turn will be described. The in-vehicle device 2 determines whether vehicle 4 is making a right turn at an intersection, and makes the above-described determination of whether a tight right turn has been made based on the output of the azimuth sensor 24 while it is determined that vehicle 4 is making a right turn at the intersection. The determination of whether vehicle 4 is making a right turn at an intersection can be made, for example, as follows. The in-vehicle device 2 determines that it is making a right turn when it determines that it is moving through an intersection while the right turn signal is being operated.

[0040] The in-vehicle device 2 does not determine that it is making a right turn if it is not moving through an intersection when the right turn signal is operated. The determination of whether it is moving through an intersection can be made, for example, based on whether the current position of vehicle 4 obtained by the GPS receiver 25A is at the intersection position on the map data recorded in the recording device 23. It is also possible to determine whether it is moving through an intersection from the imaging data of the camera.

[0041] 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. When it is determined from the output of the azimuth sensor 24 that the vehicle is turning right, if the current position of the vehicle 4 is on the intersection, it can also be determined that the vehicle is turning right at the intersection. Further, it may be determined whether or not the vehicle is turning right at the intersection based on the traveling locus of the vehicle 4 obtained from the current position.

[0042] Next, the operation of the information processing system 1 will be described. First, the small turning determination process executed by the in-vehicle device 2 will be described with reference to FIG. 6.

[0043] The in-vehicle device 2 executes the small turning determination process at regular time intervals or at timings such as every time the vehicle travels a certain distance. In the small turning determination process, the in-vehicle device 2 determines whether or not the vehicle 4 has turned right at the intersection (step S1). When the in-vehicle device 2 determines that the vehicle is turning right at the intersection (Y in step S1), it captures the output of the azimuth sensor 24 during the determination, and after performing a small turning right determination based on the time-series data of the captured output (step S2), it proceeds to step S3.

[0044] In the small turning determination in step S2, the in-vehicle device 2 obtains the change in azimuth per unit travel distance with respect to the travel distance based on the output of the azimuth sensor 24, and when there is one peak, it determines that it is a right turn that is not a small turning right turn. On the other hand, when there are two peaks, the in-vehicle device 2 determines that it is a small turning right turn.

[0045] In step S3, the in-vehicle device 2 generates data including the determination result of a tight right turn, the environmental information of the intersection where the determination was made, and the time information when the right turn was made, and stores the data in the recording device 23. As the environmental information, the traffic volume of vehicles passing through the intersection, the visibility information of the intersection, the traffic signal information of the intersection (presence or absence of an arrow traffic signal for right turn), the average speed of the vehicle 4 during a right turn, the scale of the city where the intersection is located (urban area, local area, etc.), the road type of the intersection (national road, narrow street, etc.), and the like can be considered. The in-vehicle device 2 acquires the traffic volume of these intersections, the visibility information of the intersection, and the environmental information of the intersection by analyzing, for example, the imaging data of a camera. Then, the in-vehicle device 2 transmits the generated data to the server device 3A (step S4) and ends the process.

[0046] Next, the stress degree evaluation process executed by the server device 3A will be described with reference to FIG. 7. The server device 3A becomes an information processing program that causes a computer to execute the upper cloth processing method by using the flowchart shown in FIG. 7 as a computer program.

[0047] The server device 3A functions as a second acquisition unit and stores, in the recording device 31, the data including the determination result and the like when it receives the data. The server device 3A executes the stress degree output process at a predetermined timing such as when it has received a predetermined amount or more of data from the in-vehicle device 2 or at every predetermined time. In the stress degree 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, for each intersection, the statistical information on the tight right turn of the vehicle 4 based on the aggregate of the data including the determination result and the like stored in the recording device 31 (step S21). The statistical information is information indicating what percentage of the vehicles 4 making a right turn at the intersection (the vehicles 4 that transmitted the data) made a tight right turn or what percentage made a non-tight right turn. Note that the statistical information may be obtained for each time zone (by time zone).

[0048] Next, the server device 3A evaluates (calculates, computes) the stress degree that the intersection gives to the driver of the vehicle 4 based on the above statistical information and the environmental information of the intersection included in the data from the in-vehicle device 2 (step S2).

[0049] An example of the method for evaluating the stress level of the server device 3A in step S2 will be described. In this embodiment, as an example of the stress level evaluation, an example of evaluating in four levels of "strong", "medium", "weak", and "- (none)" will be described.

[0050] First, a case of using the traffic flow of the vehicle 4 passing through the intersection as environmental information will be described with reference to Table 1 below. The server device 3A determines whether the traffic flow at the intersection is large or small based on the traffic flow (environmental information) included in the aggregate of data used when obtaining statistical information. If the information included in the data is, for example, information on the number of vehicles at the intersection, the server device 3A determines that the traffic flow is large if it is equal to or more than a predetermined number, and determines that the traffic flow is small if it is less than the predetermined number. This determination may be made on the in-vehicle device 2 side, and information on whether the traffic flow is large or small may be transmitted to the server device 3A as environmental information.

Table 1

[0051] In addition, the server device 3A determines whether the frequency of tight right turns is high or low based on the statistical information. The server device 3A evaluates the stress level as strong as the traffic flow increases or as the frequency of tight right turns increases. Conversely, the server device 3A evaluates the stress level as weak as the traffic flow decreases or as the frequency of tight right turns decreases.

[0052] In this embodiment, as shown in Table 1 above, when both the traffic flow and the frequency of tight right turns are high, the server device 3A determines that the stress level is "strong". Also, when the traffic flow is high and the frequency of tight right turns is low, or when the traffic flow is low and the frequency of tight right turns is high, the server device 3A determines that the stress level is "weak". Further, when both the traffic flow and the frequency of tight right turns are low, the server device 3A determines that the stress level is "- (none)".

[0053] Next, the case of using traffic signal information as environmental information will be described with reference to Table 2 below. If the server device 3A determines that the intersection has an arrow traffic signal based on the traffic signal information, it evaluates the stress level as low. If the intersection does not have an arrow traffic signal, it evaluates the stress level as high. In addition, the server device 3A evaluates the stress level as high as the frequency of tight right turns increases, and evaluates the stress level as low as the frequency of tight right turns decreases. [Table 2]

[0054] In this embodiment, as shown in Table 2 above, when the server device 3A determines that there is no arrow traffic signal and the frequency of tight right turns is high, it determines that the stress level is "high". In addition, when the server device 3A determines that there is an arrow traffic signal and the frequency of tight right turns is high, it evaluates the stress level as "medium". If the frequency of tight right turns is low regardless of whether there is a traffic signal or not, the server device 3A evaluates the stress level as "- (none)".

[0055] Next, the case of using view information as environmental information will be described with reference to Table 3 below. If the server device 3A determines that the view is poor based on the view information, it evaluates the stress level as high. If the view is good, it evaluates the stress level as low. In this embodiment, as shown in Table 3 below, when the server device 3A determines that the view is poor and the frequency of tight right turns is high, it evaluates the stress level as "high". When the server device 3A determines that the view is poor and the frequency of tight right turns is low, it evaluates the stress level as "low". In addition, at intersections with a good view, the number of vehicles 4 making tight right turns increases. Therefore, in this embodiment, when the view is good, regardless of whether the frequency of tight right turns is high or low, the server device 3A evaluates the stress level as "- (none)". [Table 3]

[0056] Next, regarding the case where the average speed is used as environmental information, it will be described with reference to Table 4 below. The server device 3A strongly evaluates the stress level as the average speed decreases, and weakly evaluates the stress level as the average speed increases. In this embodiment, as shown in Table 4 below, when the average speed is low and the frequency of tight right turns is high, the server device 3A evaluates the stress level as "strong". Also, when the average speed is low and the frequency of tight right turns is low, or when the average speed is high and the frequency of tight right turns is high, the server device 3A evaluates the stress level as "weak". Further, when the average speed is high and the frequency of tight right turns is low, the server device 3A evaluates the stress level as "-(none)".

Table 4

[0057] Note that when the server device 3A obtains statistical information for each time zone, it also evaluates the stress level for each time zone.

[0058] After evaluating the stress level for each intersection, the server device 3A records the evaluation result in the recording device 31 (step S3) and ends the process.

[0059] Next, it will be described in what scenarios the stress level obtained by the server device 3A is utilized. First, the case where the obtained stress level is notified by the in-vehicle device 2 will be described. The server device 3A receives the current position through communication with the in-vehicle device 2. The server device 3A functions as an output unit and transmits (outputs) the stress level of intersections around the current position of the in-vehicle device 2 to the in-vehicle device 2, for example. When the in-vehicle device 2 receives the stress level of intersections around the current position, it functions as a notification unit and causes the display unit to display the received stress level of the intersections. Thereby, the stress level of intersections can be notified to the user.

[0060] Next, the case where the obtained stress level is reflected in the map data and used for route search will be described. The server device 3A functions as an output unit and transmits (outputs) the stress level for each intersection to the server device 3B for map data creation and route search.

[0061] The map data is data including a road network. The road network includes nodes set on roads such as intersections and line segments connecting the nodes, and links along the roads. When the control unit 32 of the server device 3B (hereinafter abbreviated as the server device 3B) receives the stress level for each intersection, it associates the stress level with the node indicating the received intersection and stores it.

[0062] Also, the server device 3B functions as a route search unit. When it receives a route search command including the current position and the destination from the in-vehicle device 2, it performs a route search from 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 in-vehicle device 2. When the in-vehicle device 2 receives the route, it guides the route.

[0063] According to the above-described embodiment, since the in-vehicle device 2 outputs the stress level based on the statistical information and environmental information of the tight right turn obtained when the vehicle 4 actually makes a right turn at a predetermined intersection, it can accurately output the stress level of the intersection.

[0064] According to the above-described embodiment, the environmental information is one of the traffic flow of moving bodies passing through the intersection, the visibility information of the intersection, and the traffic signal information of the intersection. Thereby, the stress level of the intersection can be output more accurately.

[0065] Note that in the above-described embodiment, the in-vehicle device 2 transmitted the data including the determination result to the server device 3A every time it made a tight turn determination based on the output of the azimuth sensor 24, but this is not the only case. The timing of transmission to the server device 3A may be at any time, and a plurality of data may be transmitted together.

[0066] In the above-described embodiment, the in-vehicle device 2 determines a tight right turn, but the present invention is not limited to this. For example, the in-vehicle device 2 may transmit the output of the azimuth sensor 24 to the server device 3A, and the server device 3A may determine a tight right turn based on the output of the azimuth sensor 24 received by the server device 3A.

[0067] In the above-described embodiment, the in-vehicle device 2 determines a tight turn based on the output of the azimuth sensor 24, but the present invention is not limited to this. As the determination of a tight turn, for example, a travel trajectory may be obtained from the current position information obtained from the GPS receiver 25A, and the determination may be made based on the travel trajectory. That is, the in-vehicle device 2 may determine that it is a tight right turn if the travel trajectory is a trajectory that travels along a path that is at least a threshold value away from the center O1 of the intersection, and may determine that it is not a tight right turn if the travel trajectory is a trajectory that travels along a path that is less than the threshold value away from the center O1.

[0068] Note that the present invention is not limited to the above-described embodiment. That is, the present invention can be implemented with various modifications without departing from the gist of the present invention.

Explanation of Reference Numerals

[0069] 2 In-vehicle device (notification unit) 3A Server device (information processing device, first acquisition unit, second acquisition unit, output unit) 3B Server device (route search unit)

Claims

1. A first acquisition unit that acquires statistical information on a moving object making a tight right turn at a predetermined intersection; A second acquisition unit that acquires environmental information at the intersection; An information processing apparatus, comprising: an output unit that outputs a stress level imposed on a driver of a moving object by the intersection based on the statistical information and the environmental information.

2. The information processing apparatus according to claim 1, wherein the environmental information is at least one of a traffic flow of moving objects passing through the intersection, visibility information of the intersection, and traffic signal information of the intersection.

3. The information processing apparatus according to claim 1 or 2, further comprising a route search unit that searches for a route based on the stress level.

4. The information processing apparatus according to any one of claims 1 to 3, further comprising a notification unit that notifies the stress level.

5. The information processing apparatus according to any one of claims 1 to 4, wherein the stress level is associated with a node indicating the intersection in map data.

6. The information processing apparatus according to any one of claims 1 to 5, wherein the output unit outputs the stress level of the intersection for each time zone.

7. The information processing apparatus according to any one of claims 1 to 6, wherein a determination as to whether a moving object makes a tight right turn at the predetermined intersection is made based on the number of peaks of the change in azimuth per unit travel distance with respect to the travel distance of the moving object.

8. In the determination as to whether a moving object makes a tight right turn at the predetermined intersection, when the number of peaks of the change in azimuth per unit travel distance with respect to the travel distance of the moving object is one, it is determined that the moving object does not make a tight right turn, and when the number of peaks of the change in azimuth per unit travel distance with respect to the travel distance of the moving object is two, it is determined that the moving object makes a tight right turn. The information processing apparatus according to claim 7.

9. An information processing method for causing a computer to execute: A first acquisition step of acquiring statistical information on a moving object making a tight right turn at an intersection; A second acquisition step of acquiring environmental information at the intersection; An output step of outputting a stress level imposed on a driver of a moving object by the intersection based on the statistical information and the environmental information.

10. An information processing program for causing a computer to execute: A first acquisition unit that causes the computer to acquire statistical information on a moving object making a tight right turn at an intersection; A second acquisition unit that acquires environmental information at the intersection; An information processing program, characterized by causing a function as an output unit that outputs a stress level given to a driver of a moving body by the intersection based on the statistical information and the environmental information. **Claim 11** A recording medium, characterized in that the information processing program according to claim 10 is recorded thereon.

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