Information processing device

The information processing device addresses the challenge of guiding trucks on difficult routes by using travel history to generate route guidance that avoids challenging roads, improving safety and navigation efficiency.

JP7743826B2Active Publication Date: 2025-09-25TOYOTA JIDOSHA KK
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Patent Information

Application Number
JP2022160563
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-10-04
Publication Date
2025-09-25
Estimated Expiration
2042-10-04

AI Technical Summary

Technical Problem

Conventional car navigation systems often guide trucks along routes that are difficult for them to navigate, lacking consideration for the specific characteristics and travel history of individual trucks.

Method used

An information processing device that extracts roads difficult for a specific truck to travel on based on its driving history and generates route guidance that avoids these roads, prioritizing easier routes using vehicle specifications and travel data from multiple trucks.

Benefits of technology

Improves vehicle route guidance by avoiding difficult roads for trucks, enhancing safety and ease of navigation by providing specific, actionable guidance tailored to individual truck models.

✦ Generated by Eureka AI based on patent content.

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Abstract

To improve a technology related to route guidance of a vehicle.SOLUTION: In an information processing device 20 provided with a control part 23, the control part 23 extracts roads which are difficult for a specific truck 12 to travel on the basis of travel history of one or more trucks, and generates route guidance so as to prioritize a road that is easy for the specific truck 12 to travel by avoiding at least one road of the extracted roads.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present disclosure relates to an information processing device. [Background technology]

[0002] BACKGROUND ART Conventionally, there are known techniques relating to vehicle route guidance. For example, Patent Document 1 discloses a technique for estimating a position on a road where a vehicle and an oncoming vehicle can pass each other. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2006-106945 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional car navigation systems sometimes guide drivers along routes that are difficult for trucks to navigate, leaving room for improvement.

[0005] In view of the above circumstances, an object of the present disclosure is to improve technology relating to vehicle route guidance. [Means for solving the problem]

[0006] An information processing device according to an embodiment of the present disclosure includes: An information processing device including a control unit, The control unit Based on the driving history of one or more trucks, roads that are difficult for specific trucks to drive on are extracted, By avoiding at least one of the extracted roads, route guidance is generated so that roads that are easy for the specific truck to travel on are given priority. [Effects of the Invention]

[0007] According to one embodiment of the present disclosure, techniques for vehicle route guidance are improved. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a block diagram illustrating a schematic configuration of a system according to an embodiment of the present disclosure. [Figure 2] FIG. 1 is a block diagram showing a schematic configuration of an information processing device. [Figure 3] FIG. 2 is a block diagram showing a schematic configuration of a terminal device. [Figure 4] 10 is a flowchart illustrating an operation of the information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, several embodiments of the present disclosure will be described with reference to the drawings. In each drawing, the same or corresponding parts are designated by the same reference numerals. In the description of each embodiment, the description of the same or corresponding parts will be omitted or simplified as appropriate.

[0010] <Outline of the embodiment> A system 10 according to an embodiment of the present disclosure will be outlined with reference to Fig. 1. The system 10 according to this embodiment includes an information processing device 20 and a terminal device 30 (mounted on a truck 12). The information processing device 20 is capable of communicating with the terminal device 30 via a network 40 including, for example, the Internet and a mobile communication network. The information processing device 20 may also be capable of communicating with one or more other terminal devices via the network 40.

[0011] The information processing device 20 is installed in a facility such as a data center, etc. The information processing device 20 is a computer such as a server that belongs to a cloud computing system or other computing system.

[0012] The terminal device 30 is mounted on the truck 12 in which the driver, user U1, rides, and is used by the user U1. The terminal device 30 is capable of acquiring vehicle status or driving data of the truck 12, and is, for example, an in-vehicle device such as a car navigation device. Alternatively, the terminal device 30 may be connected to the truck 12 as an external device or held by the user U1. The terminal device 30 may be, for example, a mobile device such as a mobile phone, a smartphone, or a tablet.

[0013] When the information processing device 20 is capable of communicating with one or more other terminal devices, such terminal devices are mounted on a truck and used by users U2,...,Un who drive the truck. Such terminal devices are, for example, in-vehicle devices such as car navigation devices. Alternatively, such terminal devices may be connected to the truck as external devices or held by users U2,...,Un. Such terminal devices may be, for example, mobile devices such as mobile phones, smartphones, or tablets. The number n of users 11 is any integer equal to or greater than 2.

[0014] The truck 12 may be any type of automobile, such as, but not limited to, a gasoline vehicle, a diesel vehicle, a hybrid electric vehicle (HEV), a plug-in hybrid electric vehicle (PHEV), a battery electric vehicle (BEV), or a fuel cell electric vehicle (FCEV). In this embodiment, the truck 12 is driven by a driver, but the driving may be automated at any level. The level of automation is, for example, any of levels 1 to 5 in the classification of the Society of Automotive Engineers (SAE). The truck 12 may also be a dedicated vehicle for MaaS (Mobility as a Service). The number of trucks 12 provided in the system 10 may be determined arbitrarily.

[0015] In this embodiment, the system 10 is used for a car navigation service for trucks.

[0016] First, an overview of this embodiment will be described, and details will be provided later. The information processing device 20 extracts roads that are difficult for a specific truck 12 to travel on, based on the travel history of one or more trucks. "One or more trucks" includes the specific truck 12. The information processing device 20 generates route guidance that avoids at least one of the extracted roads, giving priority to roads that are easy for the specific truck 12 to travel on.

[0017] As described above, according to this embodiment, roads that are difficult for a specific truck 12 to travel on are extracted based on the travel history of one or more trucks. Conventional car navigation systems do not take into account the travel history of each truck, so roads that are difficult for a specific truck 12 to travel on may be guided, but according to this embodiment, such roads can be avoided as much as possible. Therefore, technology related to vehicle route guidance is improved in that individual trucks can be guided to roads that are easy to travel on, which contributes to safe truck travel.

[0018] Next, each component of the system 10 will be described in detail.

[0019] <Configuration of information processing device> As shown in FIG. 2, the information processing device 20 includes a communication unit 21, a storage unit 22, and a control unit .

[0020] The communication unit 21 includes one or more communication interfaces connected to the network 40. The communication interface corresponds to, for example, a mobile communication standard, a wired LAN (Local Area Network) standard, or a wireless LAN standard, but is not limited to these and may correspond to any communication standard. In this embodiment, the information processing device 20 communicates with one or more trucks via the communication unit 21 and the network 40.

[0021] The storage unit 22 includes one or more memories. Each memory included in the storage unit 22 may function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 22 stores any information used in the operation of the information processing device 20. For example, the storage unit 22 may store system programs, application programs, databases, map information, etc. The information stored in the storage unit 22 may be updatable with information obtained from the network 40 via the communication unit 21, for example.

[0022] In this embodiment, the storage unit 22 stores a first database and a second database.

[0023] The first database stores identification information (e.g., chassis number) and vehicle specifications (e.g., vehicle dimensions, bed dimensions, wheelbase, gross vehicle weight, and maximum load capacity) of each of one or more trucks. However, the first database is not limited to these, and any other information indicating the attributes of each truck can be stored. For example, the first database may store the manufacturer, body shape (e.g., flatbed, van, wing body, or dump truck), or purpose (e.g., refrigerated / freezer truck, garbage truck, or aerial work vehicle) of each truck.

[0024] The second database stores identification information and driving history of one or more trucks. The "driving history" includes the truck's driving route, information that changes as the truck travels, and information about the status of truck parts, which are acquired from the terminal device 30 of each truck via the network 40. The "truck's driving route" indicates the route traveled by the truck on the map displayed in the map information. The "information that changes as the truck travels" includes, for example, information indicating the truck's position, acceleration, speed, mileage, shift position, accelerator operation status, brake operation status, clutch operation status, or steering operation status. The "information about the status of truck parts" includes, for example, information indicating the status of power-folding mirrors or information indicating the status of lights. However, the driving history is not limited to these and may include any other information, such as the time each piece of data was acquired (such as a timestamp).

[0025] In other words, the first database stores static information that does not change as each truck travels, and the second database stores dynamic information that is obtained as each truck travels.

[0026] The control unit 23 includes one or more processors, one or more programmable circuits, one or more dedicated circuits, or a combination thereof. The control unit 23 controls the operation of the information processing device 20 as a whole.

[0027] In this embodiment, the control unit 23 stores the vehicle information of each of the one or more trucks received from the terminal device 30 via the network 40 in the second database of the storage unit 22.

[0028] In this embodiment, the control unit 23 generates route guidance indicating a route from the current location of one or more trucks to the desired destination of the user 11 in response to a route search request (described later) received from the terminal device 30 via the network 40.

[0029] <Configuration of terminal device> As shown in FIG. 3, the terminal device 30 includes a communication unit 31, a positioning unit 32, a detection unit 33, an output unit 34, an input unit 35, a storage unit 36, and a control unit 37.

[0030] The communication unit 31 includes one or more communication interfaces that connect to the network 40. The communication interfaces are compatible with mobile communication standards such as, but not limited to, 4G (4th Generation) or 5G (5th Generation). In this embodiment, each of the one or more trucks communicates with the information processing device 20 via the communication unit 31 and the network 40.

[0031] The positioning unit 32 includes one or more devices that acquire position information of each of one or more trucks. Specifically, the positioning unit 32 includes, for example, a receiver compatible with the Global Positioning System (GPS), but is not limited thereto and may include a receiver compatible with any satellite positioning system.

[0032] The detection unit 33 includes any sensor module capable of acquiring information about each of the one or more trucks themselves and information about the surroundings of each truck. For example, the sensor module includes a distance sensor such as a LiDAR (light detection and ranging), an infrared sensor, a camera, a speed sensor, an acceleration sensor, an angular velocity sensor, a geomagnetic sensor, a direction sensor, or a combination thereof.

[0033] The output unit 34 may include one or more output devices that output information to notify the user. The output devices may be, but are not limited to, a display that outputs information as an image or video, or a speaker that outputs information as audio. The display may be, for example, an LCD (liquid crystal display) or an organic EL (electro luminescent) display. The output unit 34 may include an interface for connecting an external output device.

[0034] The input unit 35 includes at least one input interface that detects user input. The input interface is, for example, a physical key, a capacitive key, a pointing device, a touch screen integrated with a display, or a microphone. The input unit 35 may also include an interface for connecting an external input device. As the connection interface, for example, an interface compatible with standards such as USB (Universal Serial Bus) or Bluetooth (registered trademark) can be used.

[0035] In this embodiment, the input unit 35 accepts a request (hereinafter also referred to as a "route search request") from each user 11 of one or more trucks to search for a route from the current location of each truck to a desired destination of the user 11. The route search request includes information indicating the current location and destination of each truck, but may also include any other information, for example, information indicating a waypoint or a detour point.

[0036] The storage unit 36 ​​includes one or more memories. The memories may be, for example, semiconductor memory, magnetic memory, optical memory, or the like, but are not limited to these. Each memory included in the storage unit 36 ​​may function, for example, as a main storage device, an auxiliary storage device, or a cache memory. The storage unit 36 ​​stores any information used in the operation of one or more trucks. For example, the storage unit 36 ​​may store system programs, application programs, embedded software, map information, and the like. The map information may include any geospatial information, such as digital maps provided by the Geospatial Information Authority of Japan (including base map information and digital elevation data, etc.). The information stored in the storage unit 36 ​​may be updatable with information obtained from the network 40 via the communication unit 31, for example.

[0037] In this embodiment, the storage unit 36 ​​stores vehicle information acquired via the positioning unit 32 and the detection unit 33.

[0038] The control unit 37 includes one or more processors, one or more programmable circuits, one or more dedicated circuits, or a combination thereof. The processor may be, for example, a general-purpose processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), or a dedicated processor specialized for a specific process, but is not limited to these. The programmable circuit may be, for example, a FPGA (Field-Programmable Gate Array), but is not limited to this. The dedicated circuit may be, for example, an ASIC (Application Specific Integrated Circuit), but is not limited to this. The control unit 37 controls each unit of the terminal device 30 and executes processes related to the operation of the terminal device 30.

[0039] In this embodiment, the control unit 37 associates the vehicle information acquired via the positioning unit 32 and the detection unit 33 with the truck and transmits the information to the communication unit 21 of the information processing device 20 via the communication unit 31 and the network 40. The control unit 37 also transmits a route search request input via the input unit 35 by the user 11 of each truck to the information processing device 20 via the network 40.

[0040] <Operation flow of information processing device> The operation of the information processing device 20 according to the first embodiment will be described with reference to Fig. 4. The operation of Fig. 4 corresponds to a method according to this embodiment. The operation of Fig. 4 can be executed at any timing, but may be executed, for example, when the information processing device 20 receives a route search request. In the following description, it is assumed that the information processing device 20 receives a route search request from a terminal device 30 mounted on a specific truck 12 via the network 40, to search for a route from the current location of the specific truck 12 to a destination to which user U1 is heading for the first time.

[0041] Step S100: The control unit 23 of the information processing device 20 acquires the travel history of one or more trucks. As described above, the one or more trucks include the specific truck 12.

[0042] Specifically, the control unit 23 searches the second database using the identification information of the specific truck 12 in which the user U1 rides as a query, and reads the driving history of the specific truck 12 from the storage unit 22. Furthermore, the control unit 23 searches the first database to extract trucks of the same model as the specific truck 12. A "truck of the same model as the specific truck 12" refers to a truck whose vehicle specifications are the same or substantially the same as those of the specific truck 12. A "truck whose vehicle specifications are substantially the same as those of the specific truck 12" refers to a truck provided by the same or a different manufacturer as the specific truck 12, whose vehicle specifications (such as vehicle dimensions) differ from those of the specific truck 12 within a predetermined range (e.g., within a few percent). The control unit 23 searches the second database using the identification information of trucks of the same model as the extracted truck 12 as a query, and reads the driving history of one or more trucks from the storage unit 22. In this way, the control unit 23 can acquire the driving history of one or more trucks by reading the driving history of the specific truck 12 and the driving history of trucks of the same model as the specific truck 12 from the storage unit 22.

[0043] Step S101: The control unit 23 extracts roads that are difficult for a specific truck 12 to travel on.

[0044] Specifically, the control unit 23 refers to the driving history acquired in step S100, estimates that roads that satisfy predetermined conditions are narrow roads, and extracts them as roads that are difficult for the specific truck 12 to travel on. The predetermined conditions can be set arbitrarily, but first to third examples are shown below as specific examples. After steps S100 and S101, the control unit 23 can extract roads that are difficult for the specific truck to travel on, based on the driving history of one or more trucks.

[0045] As a first example, the predetermined condition may be that the average speed of one or more trucks (i.e., a specific truck 12 and trucks of the same model as the specific truck 12) is less than a predetermined speed, that one or more trucks brake more than a predetermined number of times, or both. In this case, the driving history includes information indicating the speed and the number of times each truck brakes. The control unit 23 refers to the driving history to identify roads on which the average speed of one or more trucks is less than a predetermined speed, roads on which one or more trucks brake more than a predetermined number of times, or both. The predetermined speed may be set arbitrarily, for example, 50% of the legal speed limit. The predetermined number of braking times may be set arbitrarily, for example, 3 times per 5 m. In other words, the control unit 23 identifies roads on which one or more trucks have slow speeds, roads on which one or more trucks have braked frequently, or both. The control unit 23 may estimate the identified roads to be narrow roads and extract them as roads that are difficult for the specific truck 12 to travel on. For example, if the average speed of one or more trucks traveling on a road with a legal speed limit of 30 km / h is 12 km / h, the road can be extracted as a road that is difficult for a particular truck 12 to travel on.

[0046] As a second example, the predetermined condition may be that it takes a predetermined time or more to pass each other. In this case, the driving history includes the time required for one or more trucks (i.e., a specific truck 12 and trucks of the same model as the specific truck 12) to pass each other with an oncoming vehicle. The control unit 23 refers to the driving history to identify roads on which the time required for passing each other is greater than the predetermined time. Generally, when a truck passes an oncoming vehicle on a narrow road, the truck needs to slow down or drive slowly for safety reasons, such as to avoid a collision between the vehicles, and the time required for passing each other tends to be longer. Therefore, when a road on which the time required for passing each other is greater than the predetermined time is identified, the control unit 23 may estimate the road to be a narrow road and extract it as a road that is difficult for the specific truck 12 to travel on. The predetermined time may be set arbitrarily, but may also be calculated, for example, based on statistical data (e.g., the 85th percentile speed) of the average speed of vehicles traveling on the road. Any method may be used to calculate the time required for passing each other. For example, the control unit 23 may acquire images or videos of the surroundings of one or more trucks from the terminal devices 30 of the trucks via the detection units 33 of the terminal devices 30 via the network 40. In this case, the detection units 33 may be omnidirectional cameras capable of capturing images of the surroundings of each truck. The control unit 23 may calculate the time required for each truck to pass an oncoming vehicle by analyzing the acquired images or videos.

[0047] As a third example, the predetermined condition may be that one or more trucks (i.e., a specific truck 12 and trucks of the same model as the specific truck 12) have traveled with their power-folding mirrors folded. In this case, the travel history includes information indicating the speed of each truck and the state of its power-folding mirrors. The control unit 23 references the travel history to determine whether there is a road on which one or more trucks have traveled with their power-folding mirrors folded. Such a road may be considered to be so narrow that the specific truck 12 cannot travel on it without folding its power-folding mirrors to avoid contact with oncoming vehicles or obstacles (such as block walls). Therefore, if it is detected that one or more trucks have traveled on it with their power-folding mirrors folded, the road may be identified as a road that is difficult for the specific truck 12 to travel on.

[0048] Step S102: The control unit 23 generates route guidance such that at least one of the roads extracted in step S101 is avoided, and roads that are easy for the specific truck 12 to travel on are given priority.

[0049] Any method can be adopted to avoid at least one road. For example, the control unit 23 may determine a priority for excluding each road extracted in step S101 from route guidance. Any method can be adopted to determine the priority. For example, the control unit 23 may determine the driving difficulty of each road for the specific truck 12 and, based on the determination result, determine the priority for excluding each road from route guidance. The driving difficulty may be indicated, for example, by a score serving as an evaluation criterion. The score may be a numerical value (e.g., an integer from 0 to 100) or a grade (e.g., a five-level rating from 1 to 5). In this case, a road with a higher score indicates a higher driving difficulty and is more difficult for the specific truck 12 to drive on. In the first example described above, the score may be calculated to be larger as the average speed of one or more trucks is slower or the number of braking times per unit distance is greater. In the second example, the score may be calculated to be larger as the time required for passing each other is longer. In the third example, the score may be calculated so that the greater the number of trucks that have traveled with their power-folding mirrors folded, the greater the score value. The control unit 23 can avoid at least one road by excluding the roads extracted in step S101 from the route from the current location of the specific truck 12 indicated in the route search request to the desired destination of the user U1 in descending order of the driving difficulty score. If there are multiple road options on the route to the destination, the roads can be excluded in descending order of the driving difficulty score. However, if there is no option (a road that cannot be avoided), naturally, that road is selected as the route regardless of the driving difficulty. This makes it easier for the control unit 23 to generate route guidance that prioritizes roads that are easy to travel on for the specific truck 12.

[0050] Step S103: The control unit 23 determines whether the route guidance generated in step S102 includes one or more roads that are difficult for the specific truck 12 to travel on. If it is determined that the route guidance includes one or more roads that are difficult for the specific truck 12 to travel on (step S103—Yes), the process proceeds to step S104. On the other hand, if it is determined that the route guidance does not include any roads that are difficult for the specific truck 12 to travel on (step S103—No), the process ends.

[0051] When the destination of the specific truck 12 is a warehouse located in a residential area or a rural area, one or more roads included in the route to the destination, typically the road immediately preceding the destination, are often narrow residential roads (such as alleys or farm roads) or single roads without detours. In this case, in step S102 described above, one or more of the roads extracted in step S101 are included in the route guidance without being excluded. In this case, the control unit 23 determines that the route guidance includes one or more roads that are difficult for the specific truck 12 to travel on.

[0052] Step S104: If it is determined that the route guidance includes one or more roads that are difficult for the specific truck 12 to travel on (Step S103-Yes), the control unit 23 transmits and outputs information indicating the travel difficulty level for the specific truck 12 for each of the one or more roads to the terminal device 30 used by the user U1 of the specific truck 12 via the communication unit 21.

[0053] The information indicating the driving difficulty level for the specific truck 12 may be any information that allows the user U1 to easily understand the driving difficulty level for the specific truck 12. For example, the information indicating the driving difficulty level may be the score described above in step S102. The control unit 23 transmits the information indicating the driving difficulty level in association with each of one or more roads to the terminal device 30 used by the user U1 of the specific truck 12 via the communication unit 21 and the network 40, and causes the output unit 34 to output the information indicating the driving difficulty level. The timing for outputting the information indicating the driving difficulty level may be any time before the specific truck 12 enters the corresponding road. For example, the information indicating the driving difficulty level may be output when it is detected that the specific truck 12 has approached the corresponding road by a predetermined distance (e.g., 800 m).

[0054] Conventional car navigation systems do not take into account the driving history of individual trucks, and therefore only provide general abstract information such as "be careful of road width." In contrast, according to the present embodiment, specific information indicating the degree of difficulty of a road that a specific truck 12 is planning to enter can be provided to the user U1. By using the terminal device 30, the user U1 can know the driving difficulty for the specific truck 12 before entering a road that is difficult to navigate, such as a narrow residential road. This minimizes the occurrence of unexpected situations for the user U1. As a result, the user U1 can drive calmly even on roads that are difficult for the specific truck 12 to navigate, further contributing to the safe driving of the truck.

[0055] In addition to the information indicating the driving difficulty level, the control unit 23 may output images or videos of the surroundings of one or more trucks (e.g., the scenery from the driver's seat) when traveling on each road, acquired via the detection unit 33 of the terminal device 30 or an external device (e.g., a drive recorder). Furthermore, the control unit 23 may output images or videos of steering operations during traveling. The images or videos to be output may be selected by any method, but may also be, for example, images or videos selected as representative examples by an administrator of the information processing device 20 (e.g., images or videos of steering operations by an experienced user). This allows the user U1 to be presented with more specific information indicating the driving difficulty level of roads that are difficult for a specific truck 12 to travel on. As a result, the user U1 can more easily drive calmly even on roads that are difficult for a specific truck 12, further contributing to the safe traveling of trucks.

[0056] As described above, the information processing device 20 according to this embodiment extracts roads that are difficult for a specific truck 12 to travel on, based on the travel history of one or more trucks. The information processing device 20 generates route guidance that avoids at least one of the extracted roads, giving priority to roads that are easy for the specific truck 12 to travel on.

[0057] According to this configuration, roads that are difficult for a specific truck 12 to travel on are extracted based on the travel history of one or more trucks. Conventional car navigation systems do not take into account the travel history of each truck, so roads that are difficult for a specific truck 12 to travel on may be guided, but according to this embodiment, such roads can be avoided as much as possible. Therefore, technology related to vehicle route guidance is improved in that each truck can be guided to roads that are easy to travel on, which contributes to the safe travel of trucks.

[0058] Although the present disclosure has been described based on the drawings and examples, it should be noted that those skilled in the art may make various modifications and alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included in the scope of the present disclosure. For example, the functions included in each component or step can be rearranged so as not to be logically inconsistent, and multiple components or steps can be combined or divided into one.

[0059] Furthermore, for example, in the above-described embodiment, the configuration and operation of the information processing device 20 may be distributed among multiple computers that can communicate with each other. Also, for example, an embodiment in which some or all of the components of the information processing device 20 are provided in a specific truck 12 is possible. For example, a terminal device 30 used by a user U1 of a specific truck 12 may include some or all of the components of the information processing device 20.

[0060] Also, for example, an embodiment is possible in which a general-purpose computer functions as the information processing device 20 according to the above-described embodiment. Specifically, a program describing the processing content for realizing each function of the information processing device 20 according to the above-described embodiment is stored in the memory of the general-purpose computer, and the program is read and executed by a processor. Therefore, the present disclosure can also be realized as a program executable by a processor, or a non-transitory computer-readable medium storing the program. [Explanation of symbols]

[0061] 10 Systems 11 users 12 tracks 20 Information processing equipment 21 Communications Department 22 Memory section 23 Control Unit 30 Terminal Equipment 31 Communications Department 32 Positioning unit 33 Detection unit 34 Output section 35 Input section 36 Memory section 37 Control Unit 40 Network

Claims

1. An information processing device including a control unit, The control unit Based on the driving history of one or more trucks, roads that are difficult for a specific truck to drive on are extracted, generating route guidance such that at least one of the extracted roads is avoided, thereby giving priority to roads that are easy for the specific truck to travel on; Here, the travel history includes the time required for the one or more trucks to pass each other and an oncoming vehicle, The control unit estimates that a road on which the time required for passing another vehicle is equal to or longer than a predetermined time is a narrow road, and extracts the road as a road on which the specific truck is difficult to travel.

2. An information processing device including a control unit, The control unit Based on the driving history of one or more trucks, roads that are difficult for a specific truck to drive on are extracted, generating route guidance such that at least one of the extracted roads is avoided, thereby giving priority to roads that are easy for the specific truck to travel on; wherein the driving history includes information indicating the speed and the state of the power folding mirrors of the one or more trucks; The control unit estimates a road on which the specific truck and a truck of the same model as the specific truck have been detected traveling with the power-folding mirror retracted as a narrow road, and extracts it as a road that is difficult for the specific truck to travel on.

3. 3. The information processing device according to claim 1, Further comprising a communication unit, When the route guidance includes one or more roads that are difficult for the specific truck to travel on, the control unit transmits and outputs information indicating the difficulty of travel for the specific truck for each of the one or more roads to a terminal device used by the user of the specific truck via the communication unit.

Citation Information

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