Information processing device and information processing method

Abstract

Identify the position where a vehicle is likely to drift out of its lane. [Solution] The information processing device 10 includes a storage unit 11 that stores map information indicating the area of ​​a road including a driving lane RA and an oncoming lane RB adjacent to the driving lane RA; an acquisition unit 121 that acquires the driving position, which is the position where a vehicle S is moving on the road; an identification unit 122 that identifies a deviation area HR, which is the area of ​​the oncoming lane RB in which a vehicle S traveling in the driving lane RA extends into the oncoming lane RB, based on the driving position; and a registration unit 123 that registers a second area CB of the oncoming lane RB corresponding to the deviation area HR and a first area CA of the driving lane RA adjacent to the second area CB as dangerous areas in the map information.

Description

Technical Field

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

Background Art

[0002] Conventional driving support devices for vehicles store map information including dangerous positions determined based on the position where an accident occurred, the position where a traffic jam occurred, the position of an intersection, and the width of a road. When the position of the host vehicle is approaching a dangerous position, a warning is given to the driver.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventional driving support devices for vehicles do not give a warning to the driver when the host vehicle is approaching a position where another vehicle traveling in the opposite direction to the traveling direction of the host vehicle is likely to run out of the lane in which the host vehicle is traveling. Therefore, there is a risk that the host vehicle will come into contact with the other vehicle.

[0005] Therefore, the present invention has been made in view of these points, and an object thereof is to specify a position where a vehicle is likely to run while running out of a lane.

Means for Solving the Problems

[0006] An information processing device according to a first aspect of the present invention includes: a storage unit for storing map information indicating the area of ​​a road including a driving lane and an oncoming lane adjacent to the driving lane; an acquisition unit for acquiring a driving position, which is the position where a vehicle is moving on the road; an identification unit for identifying a deviation area, which is the area of ​​the oncoming lane in which the vehicle traveling in the driving lane deviates into the oncoming lane, based on the driving position; and a registration unit for registering the area of ​​the oncoming lane corresponding to the deviation area and the area of ​​the driving lane adjacent to that area as a dangerous area in the map information.

[0007] The registration unit may register the following as the dangerous area in the map information: the area extending from the vehicle traveling in the lane forward to the left end of the lane, and the area extending from the vehicle traveling in the lane forward to the right end of the oncoming lane.

[0008] The specified unit may identify the deviation area based on the vehicle's travel position when it is moving along a curved road.

[0009] The specified unit may identify a driving area which is the region in which the outer outline of the vehicle moves when the center of the vehicle in the width direction moves the driving position, and may identify the region within the driving area that is included in the oncoming lane as the deviation area.

[0010] The specified part may define the travel area as the region in which the outline of the vehicle moves when the center of the rear wheel axle in the width direction of the vehicle moves from the travel position.

[0011] The acquisition unit acquires location information including the driving position, which shows the trajectory corresponding to the area the vehicle has traveled in the past, and the weight, maximum load capacity, and passenger capacity of the vehicle. The identification unit may identify a first deviation area in which a first vehicle, among a plurality of vehicles, deviates into the oncoming lane, satisfying at least one of the following conditions: the weight is equal to or greater than a weight threshold, the maximum load capacity is equal to or greater than a load threshold, and the passenger capacity is equal to or greater than a passenger capacity threshold.

[0012] The specified unit may identify the deviation area, which includes a second deviation area in which a second vehicle whose weight is less than the weight threshold, whose maximum load capacity is less than the load threshold, and whose passenger capacity is less than the passenger capacity threshold, deviates into the oncoming lane, and the first deviation area.

[0013] A second aspect of the present invention relates to an information processing method which includes: an acquisition step, performed by a computer, to acquire a driving position, which is the position in which a vehicle is moving on a road including a driving lane and an oncoming lane adjacent to the driving lane; an identification step, based on the driving position, to identify a deviation area, which is the area of ​​the oncoming lane in which the vehicle traveling in the driving lane deviates into the oncoming lane; and a registration step, which registers the area of ​​the oncoming lane corresponding to the deviation area and the area of ​​the driving lane adjacent to that area as a dangerous area in map information stored in a storage unit. [Effects of the Invention]

[0014] According to the present invention, the effect is to identify a position where a vehicle is likely to travel while deviating from its lane. [Brief explanation of the drawing]

[0015] [Figure 1] This figure shows an overview of the information processing system T according to this embodiment. [Figure 2] This is a diagram illustrating an example of a driving position. [Figure 3] This is a diagram illustrating an example of a deviation region. [Figure 4] This figure shows an example of a processing sequence in the information processing device 10. [Modes for carrying out the invention]

[0016] <Overview of Information Processing System T> Figure 1 is a diagram illustrating an overview of the information processing system T according to this embodiment. The information processing system T shown in Figure 1 comprises a data collection device 1, a receiving device 2, and an information processing device 10. The data collection device 1, the receiving device 2, and the information processing device 10 are connected to each other so as to be able to communicate via a network N such as the Internet, an intranet, a wireless LAN (Local Area Network), or a mobile communication network. The information processing system T has a function to register locations where a vehicle is likely to travel while veering into the oncoming lane as map information and to output said map information.

[0017] The data collection device 1 is a device that collects location information indicating the location traveled by a vehicle from multiple vehicles via a network N, and is, for example, a device equipped with REM (Road Experience Management) (registered trademark). The location traveled by a vehicle is, for example, the vehicle's location acquired by the vehicle from GNSS (Global Navigation Satellite System) at regular intervals. Based on the location information, the data collection device 1 identifies the location moved by the vehicle (so-called driving trajectory) for each vehicle, and calculates the driving position, which is a location where the vehicle is likely to travel, based on the driving trajectory of each vehicle. The data collection device 1 may store map information and calculate the driving position as the center in the width direction of each lane of the road included in the map information.

[0018] The receiving device 2 is a navigation device that displays the map included in the map information output by the information processing device 10, or a computer that outputs the map information to the navigation device. If the receiving device 2 is a navigation device mounted on a vehicle, the receiving device 2 displays a map corresponding to the area around the vehicle's location. For the sake of simplicity, in the following explanation, the receiving device 2 will be assumed to be a navigation device mounted on a vehicle.

[0019] The information processing device 10 is a computer that outputs map information stored in the information processing device 10 to the receiving device 2, and is composed of, for example, one or more physical servers or cloud servers. By the way, among the roads included in the map information, there are roads where vehicles are likely to run while protruding into the oncoming lane, and thus the probability of contact with other vehicles running in the oncoming lane is high. And even if the receiving device 2 displays a map including such a road, it is difficult for the driver of the vehicle to determine from the characteristics such as the width and shape of the road displayed by the receiving device 2 whether the road on which the vehicle is running is likely to contact other vehicles, so there is a risk that the driver will not perform an operation to avoid contact such as deceleration.

[0020] Therefore, based on the traveling position calculated by the collecting device 1, the information processing device 10 specifies the area in the road area where the vehicle moves, and specifies the area that protrudes into the oncoming lane in this area (hereinafter referred to as the "deviation area"). Then, the information processing device 10 registers an area indicating the road corresponding to the deviation area (hereinafter referred to as the "dangerous area") in the map information. By operating in this way, the information processing device 10 can output map information indicating the dangerous area to the receiving device 2, so that when there is a dangerous area in front of the vehicle, the receiving device 2 can notify the driver. And the driver can easily avoid contact with other vehicles running in the oncoming lane by recognizing that the front of the vehicle is a dangerous area based on the notification from the receiving device 2 and decelerating the vehicle. Hereinafter, the configuration and operation of the information processing device 10 will be described in detail.

[0021] <Configuration of the information processing device 10> As shown in FIG. 1, the information processing device 10 includes a storage unit 11 and a control unit 12. The control unit 12 includes an acquisition unit 121, a specification unit 122, a registration unit 123, and an output unit 124.

[0022] The memory unit 11 has a storage medium such as ROM (Read Only Memory), RAM (Random Access Memory), HDD (Hard Disk Drive), or SSD (Solid State Drive). The memory unit 11 stores the program executed by the control unit 12 and various information for identifying deviation areas and dangerous areas. The memory unit 11 stores map information indicating the area of ​​the road, including the first lane and the second lane, which is an opposing lane adjacent to the first lane. In the following description, for example, the first lane will be referred to as the "driving lane" and the second lane as the "opposing lane," but it is also possible for the second lane to be the "driving lane" and the first lane to be the "opposing lane."

[0023] The control unit 12 is a processor such as a CPU (Central Processing Unit). By executing the program stored in the storage unit 11, the control unit 12 functions as an acquisition unit 121, a specification unit 122, a registration unit 123, and an output unit 124. The control unit 12 may consist of a single processor, or it may consist of multiple processors or a combination of one or more processors and electronic circuits.

[0024] The acquisition unit 121 acquires the driving position, which is the position where a vehicle moves on the road. Figure 2 is a diagram illustrating an example of a driving position. Figure 2 shows the driving lane RA and the opposing lane RB. Vehicles S1 to S5 shown in Figure 2 indicate the position of vehicle S at regular intervals as it moves along the driving lane RA in the direction of travel D. The region M shown in Figure 2 is the region over which the outline of vehicle S has moved, and the trajectory P shown in Figure 2 is the driving position that indicates the center of region M in the width direction. The acquisition unit 121 acquires, for example, the trajectory P output by the collection device 1 as the driving position.

[0025] The acquisition unit 121 may acquire location information including the driving position, which shows the trajectory P corresponding to the area M that the vehicle S has traveled in the past, and the weight, maximum load capacity, and passenger capacity of the vehicle S. By acquiring location information including the weight, maximum load capacity, and passenger capacity of the vehicle S in this way, the identification unit 122 can estimate the size of the vehicle S, making it easier to identify the area M corresponding to the driving position.

[0026] The identification unit 122 identifies a deviation area within the area of ​​the opposing lane RB where a vehicle S traveling in the driving lane RA encroaches on the opposing lane RB, based on the driving position. Figure 3 is a diagram illustrating an example of a deviation area. Figure 3 shows the deviation area HR, the first area CA, and the second area CB. Details of the first area CA and the second area CB will be described later. For example, the identification unit 122 identifies an area M based on the driving position (trajectory P) acquired by the acquisition unit 121, and identifies the deviation area HR within area M that is included in the opposing lane RB.

[0027] The identification unit 122 identifies a driving area (area M) which is the area where the outline of the vehicle S moves when the center of the vehicle S in the width direction moves along the trajectory P, and identifies the area within area M that is included in the oncoming lane RB as the deviation area HR. The identification unit 122 identifies the size of the area enclosed by the outline of the vehicle S based on the total length and total width of the vehicle S stored in the memory unit 11, for example. Then, the identification unit 122 identifies the area M in which the outline of the vehicle S moves such that the position included in the trajectory P is included in the center of the width direction of the identified area.

[0028] The identification unit 122 may identify region M as the area in which the outline of the vehicle S moves when the center of the rear wheel axle in the width direction of the vehicle S moves along the trajectory P. The identification unit 122 identifies the position of the center of the rear wheel axle in the width direction within the region enclosed by the outline, for example by referring to the axle position stored in the storage unit 11. The identification unit 122 identifies region M as the area in which the outline of the vehicle S moves such that the position included in the trajectory P coincides with the identified position.

[0029] By operating in this manner, the identification unit 122 can identify the area M in which large vehicles such as trucks, whose rear wheels are the drive wheels, travel. As a result, the identification unit 122 can identify the deviation area HR based on the area M of large vehicles, which are more likely to drift into the oncoming lane RB than ordinary cars, and thus can identify an appropriate area as the deviation area HR.

[0030] The identification unit 122 may identify a deviation area HR in which a large vehicle S among a group of vehicles S protrudes into the oncoming lane RB. The identification unit 122 may identify a first deviation area as deviation area HR in which a large vehicle among a group of vehicles S that satisfies at least one of the following conditions protrudes into the oncoming lane RB: its weight is greater than or equal to a weight threshold, its maximum load capacity is greater than or equal to a load threshold, and its passenger capacity is greater than or equal to a passenger capacity threshold. For example, the weight threshold is 11 tons, the load threshold is 6.5 tons, and the passenger capacity threshold is 30 people. If the identification unit 122 has identified multiple first deviation areas, it identifies a combined area of ​​each first deviation area as deviation area HR.

[0031] The identification unit 122 identifies, for example, location information from among multiple location information acquired by the acquisition unit 121 that includes at least one of the following: a weight greater than or equal to a weight threshold, a maximum load capacity greater than or equal to a load threshold, and a passenger capacity greater than or equal to a passenger capacity threshold. The identification unit 122 identifies, for example, the region M to which the outline of the vehicle S has moved based on the driving position (trajectory P) included in the identified location information, and identifies the region within the region M that is included in the oncoming lane RB as the first deviation region.

[0032] By operating as described above, the identification unit 122 can identify the deviation area HR based on the trajectory P corresponding to a large vehicle, which is more likely to drift into the oncoming lane RB than a regular car, among the trajectories P included in the multiple location information acquired by the acquisition unit 121. As a result, the identification unit 122 can improve the accuracy of identifying the deviation area HR.

[0033] The identification unit 122 may identify a second deviation area in which a vehicle S that is a regular car among a plurality of vehicles S veers into the oncoming lane RB. The identification unit 122 identifies, for example, location information from a plurality of location information, including a weight below a weight threshold, a maximum load below a load threshold, and a passenger capacity below a passenger capacity threshold, and identifies an area M based on the trajectory P included in the location information. The identification unit 122 identifies, for example, the area included in the oncoming lane RB from the identified area M as the second deviation area.

[0034] Furthermore, the identification unit 122 may identify a deviation area HR that combines the first deviation area for large vehicles and the second deviation area for regular vehicles. The identification unit 122 may also identify a deviation area HR that includes a second deviation area where a regular vehicle whose weight is less than the weight threshold, whose maximum load capacity is less than the load threshold, and whose passenger capacity is less than the passenger capacity threshold protrudes into the oncoming lane RB, and a first deviation area where a large vehicle protrudes into the oncoming lane RB. By operating in this manner, the identification unit 122 can further improve the accuracy of identifying the deviation area HR.

[0035] Large vehicles often have rear-wheel drive, while regular vehicles often have front-wheel drive. Therefore, the trajectory P on a curved road and the corresponding region M differ between a vehicle S with rear-wheel drive and a vehicle S with front-wheel drive. Thus, the identification unit 122 may determine whether each vehicle S is a large vehicle or a regular vehicle, and in the case of a large vehicle, it may identify the region M where the center of the rear axle moves along the trajectory P, while in the case of a regular vehicle, it may identify the region M where the center of the front axle moves along the trajectory P.

[0036] The identification unit 122 determines, for example, whether the vehicle S corresponding to the location information is a large vehicle or a regular vehicle, based on the weight, maximum load capacity, and passenger capacity included in the location information. If the identification unit 122 determines, for example, that the vehicle S is a large vehicle, it identifies the outline of the vehicle S by referring to the total length and total width of the large vehicle stored in the storage unit 11, and identifies the region M in which the outline moves so that the center of the rear wheel axle within the outline coincides with the trajectory P. Then, the identification unit 122 identifies the region included in the oncoming lane RB within the identified region M as the first deviation region.

[0037] On the other hand, if the identification unit 122 determines that the vehicle S is a regular car, it identifies the outline of the vehicle S by referring to the total length and total width of the regular car stored in the memory unit 11, and identifies the region M in which the outline moves so that the center of the front wheel axle within the outline coincides with the trajectory P. Then, for example, the identification unit 122 identifies the region included in the oncoming lane RB within the identified region M as the second deviation region. By operating in this manner, the identification unit 122 can identify the region M based on the drive wheels corresponding to the type of vehicle S, thereby improving the accuracy of the deviation region HR.

[0038] Vehicle S is more likely to drift into the oncoming lane RB while driving in the driving lane RA on a curved road than on a straight road. Therefore, the identification unit 122 may identify the deviation area HR based on the trajectory P of vehicle S as it moves along the curved road. The identification unit 122 determines, for example, whether the driving position (trajectory P) included in the position information acquired by the acquisition unit 121 includes a curved road by referring to map information stored in the storage unit 11. Then, the identification unit 122 identifies the deviation area HR if the trajectory P includes a curved road, and does not identify the deviation area HR if the trajectory P does not include a curved road. By operating in this way, the identification unit 122 can reduce the amount of processing required to calculate the deviation area HR.

[0039] The registration unit 123 registers the second area CB of the opposing lane RB corresponding to the deviation area HR, and the first area CA of the driving lane RA adjacent to the second area CB, as dangerous areas in the map information. Here, the operation of "registering dangerous areas in the map information" is, for example, the operation in which the registration unit 123 stores coordinate information indicating the coordinates of the dangerous area and flag information indicating that it is a dangerous area in the storage unit 11 as new information included in the map information stored in the storage unit 11.

[0040] Specifically, as shown in Figure 3, the registration unit 123 registers the first area CA and the second area CB, located in front of the vehicle S, as dangerous areas in the map information. The first area CA is the area extending from the deviation area HR, located in front of the vehicle S traveling in the driving lane RA, to the left edge of the driving lane RA, and the second area CB is the area extending from the deviation area HR, located in front of the vehicle S, to the right edge of the oncoming lane RB. By registering the first area CA and the second area CB in this way, the receiving device 2 can notify the driver that there is danger not only when the vehicle S is traveling in the oncoming lane RB, but also when it is traveling in the driving lane RA.

[0041] The output unit 124 outputs the map information, which has been stored in the memory unit 11 and in which the registration unit 123 has registered the dangerous area, to the receiving device 2. By operating in this manner, the receiving device 2 can identify whether or not there is a dangerous area in front of the vehicle S where it is likely to drift into the oncoming lane. If a dangerous area is found, the receiving device 2 can display an image prompting deceleration or emit a warning sound.

[0042] <Processing sequence in information processing device 10> Figure 4 shows an example of a processing sequence in the information processing device 10. The processing sequence shown in Figure 4 is a processing sequence that shows the operation in which the information processing device 10 identifies a dangerous area based on the driving position of a large vehicle.

[0043] The acquisition unit 121 acquires location information from the collection device 1 (S11). The identification unit 122 determines whether the vehicle S corresponding to the location information is a large vehicle based on the weight, maximum load capacity, and passenger capacity included in the location information (S12). If the weight is less than the weight threshold, the maximum load capacity is less than the load threshold, and the passenger capacity is less than the passenger capacity threshold, the identification unit 122 determines that the vehicle S corresponding to the location information is not a large vehicle (NO in S12), and returns to the operation of step S11.

[0044] The identification unit 122 identifies the vehicle S corresponding to the location information as a large vehicle (YES in S12) if it satisfies at least one of the following conditions: weight is greater than or equal to the weight threshold, maximum load capacity is greater than or equal to the load threshold, or passenger capacity is greater than or equal to the passenger capacity threshold, and identifies the deviation area HR of the vehicle S (S13). The identification unit 122 identifies the size of the outline of the vehicle S and the position of the center of the rear wheel axle within the outline by referring, for example, the overall length, overall width, and position of the center of the rear wheel axle of the large vehicle stored in the storage unit 11. The identification unit 122 identifies the area M when the vehicle S moves so that the center of the rear wheel axle matches the driving position (trajectory P) included in the location information, and identifies the area within area M that is included in the oncoming lane RB as the deviation area HR.

[0045] The registration unit 123 registers the second area CB of the opposing lane RB, which corresponds to the deviation area HR, and the first area CA of the driving lane RA, which is adjacent to the second area CB, as dangerous areas in the map information (S14). For example, the registration unit 123 determines that the area extending from the deviation area HR, which is ahead of the vehicle S traveling in the driving lane RA, to the left edge of the driving lane RA is the first area CA included in the dangerous area. For example, the registration unit 123 determines that the area extending from the deviation area HR, which is ahead of the vehicle S, to the right edge of the opposing lane RB is the second area CB included in the dangerous area. The registration unit 123 stores coordinate information indicating the coordinates of the outlines of the first area CA and the second area CB, and flag information indicating that the area within these outlines is a dangerous area, in the storage unit 11 as new information included in the map information stored in the storage unit 11.

[0046] <First variation> In the above description, the operation of the identification unit 122 to identify the deviation area HR based on the overall length, overall width, and position of the center of the rear axle of the vehicle S stored in the memory unit 11 was illustrated, but the system is not limited to this. The identification unit 122 may also identify the deviation area HR based on the overall length, overall width, and position of the center of the rear axle of the vehicle S included in the position information acquired by the acquisition unit 121.

[0047] <Second variation> In the above explanation, the identification unit 122 has been shown as an example of determining whether vehicle S is a large vehicle or a regular vehicle based on the weight, maximum load capacity, and passenger capacity included in the position information, and identifying the area M by setting the rear wheels as drive wheels if vehicle S is a large vehicle, and the front wheels as drive wheels if vehicle S is a regular vehicle, but it is not limited to this. The identification unit 122 may also identify the deviation area HR based on the overall length, overall width, and position of the drive wheels of vehicle S included in the position information. For example, the identification unit 122 identifies the size of the area of ​​the vehicle S's outline based on the overall length and overall width included in the position information, and identifies the position of the drive wheels in that area based on the position of the drive wheels included in the position information. Then, the identification unit 122 identifies the area M when the center of the axle of the identified drive wheel moves along the trajectory P, and identifies the area M included in the oncoming lane RB as the deviation area HR.

[0048] <Third variation> In the above explanation, the operation of the registration unit 123 to register the second area CB of the opposing lane RB corresponding to the deviation area HR, and the first area CA of the driving lane RA adjacent to the opposing lane RB, as dangerous areas was illustrated, but the system is not limited to this. The registration unit 123 may also register the deviation area HR as a dangerous area. By operating in this manner, if the receiving device 2 identifies a dangerous area in front of a vehicle S traveling on a wide road, it can notify the driver to drive on the left side of the driving lane RA (i.e., farther from the opposing lane RB). As a result, the receiving device 2 can reduce the probability of vehicle S colliding with another vehicle traveling in the opposing lane RB.

[0049] <Effects of the information processing device 10> As described above, the information processing device 10 includes a storage unit 11 that stores map information indicating the area of ​​a road including the driving lane RA and the opposing lane RB adjacent to the driving lane RA; an acquisition unit 121 that acquires the driving position, which is the position where the vehicle S is moving on the road; an identification unit 122 that identifies a deviation area HR, which is the area of ​​the opposing lane RB in which the vehicle S traveling in the driving lane RA extends into the opposing lane RB, based on the driving position; and a registration unit 123 that registers a second area CB of the opposing lane RB corresponding to the deviation area HR and a first area CA of the driving lane RA adjacent to the second area CB as dangerous areas in the map information.

[0050] With the information processing device 10 configured in this way, the information processing device 10 can create map information that registers as a hazardous area a vehicle S traveling in the driving lane RA is likely to travel while veering into the oncoming lane RB. The receiving device 2, which displays the map information received from the information processing device 10, can then display an image prompting the driver of vehicle S to slow down or emit a warning sound if there is a hazardous area in front of vehicle S. As a result, the information processing device 10 can reduce the probability of vehicle S traveling in the driving lane colliding with other vehicles traveling in the oncoming lane.

[0051] Although the present invention has been described above using embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of its gist. For example, all or part of the apparatus can be configured by functionally or physically distributing and integrating in any unit. Furthermore, new embodiments resulting from any combination of multiple embodiments are also included in the embodiments of the present invention. The effects of the new embodiments resulting from the combinations are combined with the effects of the original embodiments. [Explanation of Symbols]

[0052] 1. Collection device 2. Receiving device 10 Information Processing Devices 11 Storage section 12 Control Unit 121 Acquisition Department 122 Specific part 123 Registration Department 124 Output section

Claims

1. A storage unit that stores map information indicating the area of ​​a road including a driving lane and an oncoming lane adjacent to the driving lane, An acquisition unit that acquires the driving position, which is the position where a vehicle is moving on the aforementioned road, A identifying unit that identifies a deviation area within the area of ​​the opposing lane where the vehicle traveling in the driving lane deviates into the opposing lane, based on the aforementioned driving position, A registration unit that registers the area of ​​the opposing lane corresponding to the deviation area and the area of ​​the driving lane adjacent to that area as a dangerous area in the map information, An information processing device having

2. The registration unit registers the following areas as dangerous areas in the map information: an area extending from the left end of the driving lane to the front of the vehicle traveling in the driving lane, and an area extending from the right end of the oncoming lane to the front of the vehicle traveling in the driving lane. The information processing apparatus according to claim 1.

3. The specified unit identifies the deviation area based on the driving position of the vehicle as it moves along a curved road. The information processing apparatus according to claim 1.

4. The specified unit identifies the driving region, which is the area in which the outer outline of the vehicle moves when the center of the vehicle in the width direction moves the driving position, and identifies the area within the driving region that is included in the oncoming lane as the deviation region. The information processing apparatus according to claim 1.

5. The specified unit identifies the area in which the outer outline of the vehicle moves when the center of the rear wheel axle in the width direction of the vehicle moves from the aforementioned travel position as the travel area. The information processing apparatus according to claim 4.

6. The acquisition unit acquires location information including the travel position, which shows the trajectory corresponding to the area the vehicle has traveled in the past, and the vehicle's weight, maximum load capacity, and passenger capacity. The identifying unit identifies a first deviation area in which a first vehicle, among a plurality of vehicles, that satisfies at least one of the following conditions: its weight is equal to or greater than a weight threshold, its maximum load capacity is equal to or greater than a load threshold, and its passenger capacity is equal to or greater than a passenger capacity threshold, deviates into the oncoming lane. The information processing apparatus according to claim 1.

7. The identifying unit identifies the deviation region, which includes a second deviation region in which a second vehicle whose weight is less than the weight threshold, whose maximum load capacity is less than the load threshold, and whose passenger capacity is less than the passenger capacity threshold, protrudes into the oncoming lane, and the first deviation region. The information processing apparatus according to claim 6.

8. A computer executes A process for acquiring the driving position, which is the position where a vehicle is moving on a road that includes a driving lane and an oncoming lane adjacent to the driving lane. A process of identifying a deviation area, which is the area within the opposing lane where the vehicle traveling in the driving lane deviates into the opposing lane, based on the aforementioned driving position, A registration step of registering the area of ​​the opposing lane corresponding to the deviation area and the area of ​​the driving lane adjacent to that area as a dangerous area in the map information stored in the memory unit, An information processing method having

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