Vehicle travel data estimating device, program and vehicle travel data estimating method

Abstract

To easily estimate travel data of a vehicle.SOLUTION: A vehicle travel data estimating device 10 comprises a control unit 15 which acquires information about a departure point and a destination point as information about a travel of a vehicle 2, estimates a travel route for the vehicle 2 based on the departure point information and the destination point information, and estimates travel data of the vehicle 2 traveling along the travel route based on the estimated travel route. The travel data includes at least one of a speed, an acceleration speed, and a travel distance.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a vehicle travel data estimation device, a program, and a vehicle travel data estimation method. [Background technology]

[0002] A conventional technique is known for estimating the deterioration state of a tire by acquiring driving data detected by a vehicle while the vehicle is moving. In such a technique, the driving data acquired includes, for example, speed and acceleration.

[0003] For example, Patent Document 1 discloses a tire wear state estimation system that acquires driving data such as wheel speed, vehicle speed, and acceleration from a vehicle, and estimates the tire wear state based on the acquired driving data. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2022-40072 A Summary of the Invention [Problem to be solved by the invention]

[0005] In order to obtain driving data from a vehicle as data for estimating the deterioration state of tires, it is necessary to install sensors on the vehicle to detect speed, acceleration, etc., so it has not been easy to obtain driving data from the vehicle.

[0006] In consideration of the above circumstances, an object of the present disclosure is to provide a vehicle driving data estimation device, a program, and a vehicle driving data estimation method that enable easy estimation of vehicle driving data. [Means for solving the problem]

[0007] (1) A vehicle driving data estimation device according to an embodiment of the present disclosure, Acquire information on the starting point and the destination point as information on the vehicle's travel, Estimating a travel route of the vehicle based on the information of the starting point and the information of the destination point; a control unit that estimates travel data of the vehicle traveling along the travel route based on the estimated travel route; Equipped with The travel data includes at least one of speed, acceleration, and travel distance. With this configuration, the vehicle's driving data can be easily estimated.

[0008] (2) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device described in (1) above, The control unit estimates a wear state of the tires of the vehicle and a remaining durability of a base tire of the vehicle based on the driving data. With this configuration, the wear state of the vehicle's tires and the remaining durability of the vehicle's base tire can be estimated based on the estimated driving data.

[0009] (3) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device described in (1) or (2) above, The control unit is Calculating a lateral acceleration based on the speed data included in the travel data and curvature data of a road included in the travel route; Calculating a longitudinal acceleration based on traffic signal information of roads included in the travel route; A wear state of the vehicle's tires is estimated based on the lateral acceleration and the longitudinal acceleration. With this configuration, the lateral acceleration and the longitudinal acceleration can be calculated with high accuracy, and the wear state of the vehicle's tires can be estimated based on the calculated lateral acceleration and longitudinal acceleration.

[0010] (4) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device according to any one of (1) to (3) above, A storage unit that stores a database that associates the travel route with the travel data, The control unit refers to the database and estimates the travel data based on the travel route. With this configuration, it is possible to refer to a database that associates the travel route with the travel data, and to estimate the travel data with high accuracy based on the travel route.

[0011] (5) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device according to any one of (1) to (4) above, The database associates different travel data with the travel route depending on the time and date. With this configuration, it is possible to estimate the driving data with high accuracy according to the time and date.

[0012] (6) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device according to any one of (1) to (5) above, The speed and acceleration data included in the travel data is time-series data. With this configuration, the driving data can include speed and acceleration data as time-series data.

[0013] (7) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device according to any one of (1) to (6) above, The control unit is Further acquiring information on waypoints as information regarding the travel of the vehicle; A travel route of the vehicle is estimated based on the information on the departure point, the information on the destination point, and the information on the intermediate points. With this configuration, the travel route can be estimated with even greater accuracy by also referring to the information on the waypoints.

[0014] (8) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device according to any one of (1) to (7) above, The control unit is acquiring position information of the vehicle from the vehicle at predetermined time intervals; Two pieces of position information of the vehicle acquired at the predetermined time intervals are used as the information of the departure point and the information of the destination point to estimate a travel route of the vehicle. With this configuration, the driving route can be estimated with even greater accuracy by also referring to the vehicle position information acquired at predetermined time intervals.

[0015] (9) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device according to any one of (1) to (8) above, The control unit estimates the travel route so as to minimize a travel distance or a travel time from the starting point to the destination point. With this configuration, the driving route can be estimated with high accuracy.

[0016] (10) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device according to any one of (1) to (9) above, The control unit estimates the travel route by weighting according to road width so that there is a high probability that the travel route includes a wide road. With this configuration, the driving route can be estimated with high accuracy.

[0017] (11) A vehicle driving data estimation device according to an embodiment of the present disclosure is the vehicle driving data estimation device according to any one of (1) to (10) above, The control unit estimates the travel route by weighting the travel route according to a legal speed limit so that there is a high probability that the travel route includes a road with a higher legal speed limit. With this configuration, the driving route can be estimated with high accuracy.

[0018] (12) A program according to an embodiment of the present disclosure, A vehicle driving data estimation device includes: Acquiring information on a starting point and information on a destination point as information related to vehicle travel; estimating a travel route of the vehicle based on the information of the starting point and the information of the destination point; estimating travel data of the vehicle traveling along the travel route based on the estimated travel route; Executing an operation including The travel data includes at least one of speed, acceleration, and travel distance. With this configuration, the vehicle's driving data can be easily estimated.

[0019] (13) A vehicle driving data estimation method according to an embodiment of the present disclosure, A vehicle travel data estimation method in a vehicle travel data estimation device, comprising: Acquiring information on a starting point and information on a destination point as information related to vehicle travel; estimating a travel route of the vehicle based on the information of the starting point and the information of the destination point; estimating travel data of the vehicle traveling along the travel route based on the estimated travel route; Including, The travel data includes at least one of speed, acceleration, and travel distance. With this configuration, the vehicle's driving data can be easily estimated. Effect of the Invention

[0020] According to the present disclosure, it is possible to provide a vehicle travel data estimation device, a program, and a vehicle travel data estimation method that enable easy estimation of vehicle travel data. [Brief description of the drawings]

[0021] [Figure 1] 1 is a diagram illustrating a configuration of a vehicle driving data estimation system including a vehicle driving data estimation device according to an embodiment of the present disclosure. [Diagram 2]1 is a block diagram showing a configuration of a vehicle travel data estimation device according to an embodiment of the present disclosure. [Diagram 3] FIG. 11 is a diagram showing an example of how a travel route is estimated; [Figure 4] 4 is a flowchart illustrating an operation of the vehicle driving data estimation device according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0022] Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings.

[0023] FIG. 1 is a diagram showing a configuration of a vehicle driving data estimation system 1 including a vehicle driving data estimation device 10 according to an embodiment of the present disclosure.

[0024] The vehicle driving data estimation system 1 includes a vehicle driving data estimation device 10 and a terminal device 20. The vehicle driving data estimation device 10 and the terminal device 20 are communicatively connected via a network 30. The network 30 may be a network including a mobile communication network, the Internet, and the like.

[0025] The vehicle travel data estimation device 10 is, for example, a dedicated computer configured to function as a server, or may be a general-purpose PC (Personal Computer).

[0026] The vehicle 2 shown in Fig. 1 may be, for example, a truck of a transportation company. Note that the vehicle 2 is not limited to a truck and may be any type of vehicle. The vehicle 2 may be, for example, a passenger car, a bus, a construction vehicle, etc. Furthermore, the organization that owns the vehicle 2 is not limited to a transportation company, and the vehicle 2 may be owned by an organization other than a transportation company.

[0027] The terminal device 20 is a terminal device operated by an operator of an organization that owns the vehicle 2. For example, when the vehicle 2 is a truck of a transport company, the terminal device 20 may be installed in the transport company. The terminal device 20 may be, for example, a PC, a smartphone, a tablet, or the like. The organization that owns the terminal device 20 is not limited to the transport company, and the terminal device 20 may be owned by an organization other than the transport company.

[0028] When the terminal device 20 acquires information on the departure point and destination point of the vehicle 2 through input operations by the operator, the terminal device 20 transmits the information on the departure point and destination point of the vehicle 2 to the vehicle driving data estimation device 10 via the network 30. Note that the "departure point" and "destination point" mentioned here do not have to be the actual departure point and destination point of the vehicle 2, but may be two pieces of position information. In this embodiment, the terms "departure point" and "destination point" are used for the two pieces of position information.

[0029] The vehicle travel data estimation device 10 acquires information on the departure point and destination point of the vehicle 2 from the terminal device 20 via the network 30.

[0030] The vehicle travel data estimation device 10 estimates the travel route of the vehicle 2 based on the acquired information on the departure point and the destination point. The vehicle travel data estimation device 10 estimates travel data of the vehicle 2 based on the estimated travel route of the vehicle 2.

[0031] Before describing the details of the operation of the vehicle driving data estimation device 10, the configuration of the vehicle driving data estimation device 10 according to an embodiment of the present disclosure will be described with reference to FIG.

[0032] The vehicle driving data estimation device 10 includes a communication unit 11, a storage unit 12, an input unit 13, an output unit 14, and a control unit 15.

[0033] The communication unit 11 includes a communication module that connects to the network 30. For example, the communication unit 11 may include a communication module that supports a LAN (Local Area Network). In one embodiment, the vehicle driving data estimation device 10 is connected to the network 30 via the communication unit 11. The communication unit 11 transmits and receives various information via the network 30. The communication unit 11 is capable of communicating with the terminal device 20 via the network 30.

[0034] The storage unit 12 is, for example, a semiconductor memory, a magnetic memory, an optical memory, or the like, but is not limited thereto. The storage unit 12 may function, for example, as a main storage device, an auxiliary storage device, or a cache memory. The storage unit 12 stores any information used in the operation of the vehicle driving data estimation device 10. For example, the storage unit 12 may store a system program, an application program, and various information received by the communication unit 11. The information stored in the storage unit 12 may be updated, for example, by information received from the network 30 via the communication unit 11. A part of the storage unit 12 may be installed outside the vehicle driving data estimation device 10. In this case, the part of the storage unit 12 installed outside may be connected to the vehicle driving data estimation device 10 via any interface.

[0035] The input unit 13 includes one or more input interfaces that detect a user input and acquire input information based on a user operation. For example, the input unit 13 includes, but is not limited to, a physical key, a capacitive key, a touch screen that is integral with the display of the output unit 14, or a microphone that accepts voice input.

[0036] The output unit 14 includes one or more output interfaces that output information to notify the user. For example, the output unit 14 includes, but is not limited to, a display that outputs information as an image, a speaker that outputs information as sound, and the like.

[0037] The control unit 15 includes at least one processor, at least one dedicated circuit, or a combination of these. The processor is a general-purpose processor such as a central processing unit (CPU) or a graphics processing unit (GPU), or a dedicated processor specialized for a specific process. The dedicated circuit is, for example, a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). The control unit 15 executes processes related to the operation of the vehicle driving data estimation device 10 while controlling each part of the vehicle driving data estimation device 10.

[0038] (Operation of the vehicle travel data estimation device) Next, a description will be given of the operation of the vehicle driving data estimation device 10. The following description will be given taking as an example a case where the terminal device 20 is installed in a transportation company.

[0039] An operator of the transportation company inputs information on the departure point and destination point of the vehicle 2 into the terminal device 20. The vehicle 2 may be, for example, a truck of the transportation company. When the vehicle 2 is a truck of the transportation company, the departure point and destination point of the vehicle 2 are fixed, and the vehicle 2 often travels the same travel route repeatedly.

[0040] When the terminal device 20 acquires information on the departure point and destination point of the vehicle 2 through input operations by the operator, the terminal device 20 transmits the information on the departure point and destination point of the vehicle 2 to the vehicle driving data estimation device 10 via the network 30.

[0041] The communication unit 11 of the vehicle driving data estimation device 10 receives the information on the departure point and the destination point of the vehicle 2 transmitted by the terminal device 20. The control unit 15 acquires the information on the departure point and the destination point of the vehicle 2 transmitted by the terminal device 20 via the communication unit 11. In this manner, the control unit 15 acquires the information on the departure point and the destination point of the vehicle 2 as information related to the driving of the vehicle 2.

[0042] The control unit 15 estimates the driving route of the vehicle 2 based on the acquired information on the departure point and destination point of the vehicle 2. When estimating the driving route, the control unit 15 may estimate the driving route by referring to the map data stored in the memory unit 12. Alternatively, when an external server stores the map data, the control unit 15 may estimate the driving route by referring to the map data stored in the external server.

[0043] 3 shows an example of how the control unit 15 estimates a driving route of the vehicle 2 based on information on a departure point and a destination point of the vehicle 2. In the example shown in FIG. 3, the control unit 15 estimates a driving route 103 of the vehicle 2 based on a departure point 101 of the vehicle 2 and a destination point 102 of the vehicle 2.

[0044] When estimating the travel route, the control unit 15 may estimate the travel route of the vehicle 2 so that the travel distance or travel time from the departure point to the destination point is the shortest. Usually, the vehicle 2 is likely to travel a travel route that has the shortest travel distance or travel time. Therefore, by estimating the travel route so that the travel distance or travel time is the shortest, the control unit 15 can estimate the travel route with high accuracy.

[0045] Alternatively, when estimating a driving route, the control unit 15 may estimate the driving route by weighting according to the road width so that the probability that a wide road is included in the driving route is increased. Here, weighting according to the road width means weighting so that the wider the road is, the more likely it is to be included in the estimated driving route. The control unit 15 may acquire information on the road width by referring to the map data stored in the memory unit 12.

[0046] For example, if the vehicle 2 is a large vehicle such as a truck, it is highly likely to travel on a wide road. Therefore, by estimating the travel route by weighting according to the road width, the control unit 15 can estimate the travel route with high accuracy.

[0047] Alternatively, when estimating a driving route, the control unit 15 may estimate the driving route by weighting according to the legal speed so that the probability that a road with a higher legal speed is included in the driving route is increased. Here, weighting according to the legal speed means weighting so that a road with a higher legal speed is more likely to be included in the estimated driving route. The control unit 15 may acquire information on the legal speed by referring to the map data stored in the memory unit 12.

[0048] The vehicle 2 is likely to travel on a road with a high legal speed limit in order to shorten the travel time. Therefore, by estimating the travel route by weighting according to the legal speed limit, the control unit 15 can estimate the travel route with high accuracy.

[0049] In addition to the information on the departure point and destination point of vehicle 2, the control unit 15 may also acquire information on the waypoints of vehicle 2, and estimate the driving route of vehicle 2 based on the information on the departure point, destination point, and waypoints of vehicle 2.

[0050] In this case, the terminal device 20 further acquires information on the waypoints of the vehicle 2 through an input operation by the operator, and transmits the acquired information on the waypoints of the vehicle 2 to the vehicle travel data estimation device 10 via the network 30.

[0051] The communication unit 11 of the vehicle driving data estimation device 10 receives the information on the waypoints of the vehicle 2 transmitted by the terminal device 20. The control unit 15 acquires the information on the waypoints of the vehicle 2 transmitted by the terminal device 20 via the communication unit 11.

[0052] In this way, by estimating the driving route of vehicle 2 based on information on the departure point and destination point of vehicle 2, as well as information on the intermediate points of vehicle 2, the control unit 15 can estimate the driving route with even greater accuracy.

[0053] The control unit 15 may acquire position information of the vehicle 2 at predetermined time intervals, and estimate the travel route of the vehicle 2 using two pieces of position information of the vehicle 2 acquired at the predetermined time intervals as information on the starting point and information on the destination point. The predetermined time interval may be, for example, an interval of about several minutes.

[0054] In this case, the vehicle 2 transmits position information of the vehicle 2 acquired by a GPS (Global Positioning System) or the like to the vehicle travel data estimation device 10 via the network 30 at predetermined time intervals.

[0055] The communication unit 11 of the vehicle driving data estimation device 10 receives the position information of the vehicle 2 transmitted by the vehicle 2 at predetermined time intervals. The control unit 15 acquires the position information of the vehicle 2 transmitted by the vehicle 2 at predetermined time intervals via the communication unit 11.

[0056] In this way, by estimating the driving route of vehicle 2 using two of the position information of vehicle 2 acquired at specified time intervals as information on the starting point and information on the destination point, control unit 15 can estimate the driving route with even greater accuracy.

[0057] When estimating the driving route, the control unit 15 may estimate the driving route of the vehicle 2 based on a trained model constructed based on big data that accumulates past vehicle driving data. The trained model may be stored in the storage unit 12.

[0058] When the control unit 15 estimates the travel route, the control unit 15 estimates travel data of the vehicle 2 based on the estimated travel route.

[0059] Here, the travel data of the vehicle 2 includes at least one of data on the speed and acceleration when the vehicle 2 travels along the estimated travel route, and data on the travel distance when the vehicle 2 travels along the estimated travel route. The travel data of the vehicle 2 may include other data in addition to at least one of data on the speed, acceleration, and travel distance.

[0060] The speed and acceleration data included in the travel data of the vehicle 2 may be time-series data.

[0061] The storage unit 12 stores a database that associates a travel route with travel data. This database is created in advance by associating travel data with a travel route, and is stored in the storage unit 12. Note that the database that associates a travel route with travel data is not limited to being stored in the storage unit 12. The database that associates a travel route with travel data may be stored in an external server. In this embodiment, the database that associates a travel route with travel data is described as being stored in the storage unit 12.

[0062] The control unit 15 refers to the database stored in the storage unit 12 and estimates the travel data based on the estimated travel route.

[0063] The database may associate different travel data with a travel route depending on the time and date. For example, the database may associate different travel data with the same travel route depending on the time. Even if the travel route is the same, the speed of the vehicle 2 may be different during the day and at night. Therefore, by associating different travel data with the travel route depending on the time, the control unit 15 can estimate the travel data with high accuracy.

[0064] Also, for example, the database may associate different travel data depending on the date even if the travel route is the same. Even if the travel route is the same, the speed of the vehicle 2 may differ between weekdays and holidays. Also, the speed of the vehicle 2 may differ depending on the season. Therefore, by associating different travel data with the travel route depending on the date, the control unit 15 can estimate the travel data with high accuracy.

[0065] The control unit 15 can estimate the wear state of the tires of the vehicle 2 and the remaining durability of the basal tire of the vehicle 2 based on the estimated driving data. Here, the wear state of the tire refers to the wear state of the tread rubber portion of the tire. Also, the basal tire refers to the portion of the tire excluding the tread portion, which is the portion that is reused when the tire is retreaded. The remaining durability of the basal tire is an index that indicates how much longer the basal tire can be used.

[0066] When estimating the wear condition of the tires of the vehicle 2, the control unit 15 may estimate the wear condition of the tires of the vehicle 2 based on the lateral acceleration and vertical acceleration of the vehicle 2 when traveling along the estimated driving route.

[0067] The control unit 15 may calculate the lateral acceleration based on the speed data included in the estimated driving data and the curvature data of the road included in the estimated driving route. The control unit 15 may acquire the curvature data information of the road width by referring to the map data stored in the memory unit 12.

[0068] The control unit 15 may calculate the longitudinal acceleration based on traffic light information of the roads included in the estimated travel route. When the vehicle 2 stops due to a red light, the vehicle 2 decelerates before the light and accelerates when the light turns green, causing longitudinal acceleration. Therefore, the control unit 15 can calculate the longitudinal acceleration based on traffic light information of the roads included in the estimated travel route. The control unit 15 may acquire the traffic light information of the roads by referring to the map data stored in the memory unit 12.

[0069] The operation of the vehicle travel data estimating device 10 will be described with reference to the flowchart shown in FIG.

[0070] Step S101 : The control unit 15 of the vehicle driving data estimation device 10 acquires information on the departure point and destination point of the vehicle 2 from the terminal device 20 .

[0071] Step S102: The control unit 15 estimates a travel route of the vehicle 2 based on the acquired information on the departure point and destination point of the vehicle 2.

[0072] Step S103: Based on the estimated travel route, the control unit 15 estimates travel data of the vehicle 2. Based on the estimated travel data, the control unit 15 can estimate the wear state of the tires of the vehicle 2 and the remaining durability of the base tire of the vehicle 2.

[0073] As described above, in the vehicle travel data estimation device 10 according to this embodiment, the control unit 15 acquires information on the departure point and information on the destination point as information related to the travel of the vehicle 2, estimates the travel route of the vehicle 2 based on the information on the departure point and the information on the destination point, and estimates the travel data of the vehicle 2 traveling along the travel route based on the estimated travel route. In this way, the vehicle travel data estimation device 10 according to this embodiment can estimate the travel data of the vehicle 2 simply by acquiring information on the departure point and the destination point. That is, the vehicle travel data estimation device 10 according to this embodiment can estimate the travel data of the vehicle 2 even if the vehicle 2 does not have a sensor for detecting speed, acceleration, etc. installed in the vehicle 2. Therefore, the vehicle travel data estimation device 10 according to this embodiment can easily estimate the travel data of the vehicle 2 without the need to install a sensor for detecting speed, acceleration, etc. in the vehicle 2.

[0074] In addition, the vehicle driving data estimation device 10 according to this embodiment can estimate the wear state of the tires of the vehicle 2 and the remaining durability of the base tire of the vehicle 2 based on the driving data of the vehicle 2 estimated in this manner.

[0075] Although the embodiments of the present disclosure have been described based on the drawings and examples, it should be noted that those skilled in the art can easily make various modifications or corrections based on the present disclosure. Therefore, it should be noted that these modifications or corrections are included in the scope of the present disclosure. For example, the functions included in each component or each step can be rearranged so as not to be logically inconsistent, and multiple components or steps can be combined into one or divided. The embodiments of the present disclosure can also be realized as a storage medium on which a program executed by a processor included in the device is recorded. It should be understood that these are also included in the scope of the present disclosure.

[0076] For example, it is possible to configure a general-purpose electronic device such as a computer or smartphone to function as the vehicle driving data estimation device 10 according to the above-described embodiment. Specifically, it is conceivable that a program describing the processing contents for realizing each function of the vehicle driving data estimation device 10 according to the embodiment is stored in the memory of the electronic device, and the program is read and executed by the processor of the electronic device. Therefore, the disclosure according to one embodiment can also be realized as a program executable by a processor. Contribution to the United Nations-led Sustainable Development Goals (SDGs)

[0077] The SDGs have been proposed to realize a sustainable society. One embodiment of the present disclosure is considered to be a technology that can contribute to "No. 12 Responsible consumption and production" and "No. 13 Concrete measures against climate change." [Explanation of symbols]

[0078] 1. Vehicle driving data estimation system 2 Vehicles 10. Vehicle driving data estimation device 11 Communications Department 12 Storage section 13 Input section 14 Output section 15 Control section 20 Terminal Equipment 30 Network 101 Starting point 102 Destination point 103 Travel route

Claims

1. Acquire information on the starting point and the destination point as information on the vehicle's travel, Estimating a travel route of the vehicle based on the information of the starting point and the information of the destination point; a control unit that estimates travel data of the vehicle traveling along the travel route based on the estimated travel route; Equipped with The vehicle driving data estimation device, wherein the driving data includes at least one of speed, acceleration, and driving distance.

2. 2. The vehicle travel data estimation device according to claim 1, The control unit estimates a wear state of the tires of the vehicle and a remaining durability of a base tire of the vehicle based on the driving data.

3. 3. The vehicle travel data estimation device according to claim 2, The control unit is Calculating a lateral acceleration based on the speed data included in the travel data and curvature data of a road included in the travel route; Calculating a longitudinal acceleration based on traffic signal information of roads included in the travel route; A vehicle driving data estimation device that estimates a wear state of tires of the vehicle based on the lateral acceleration and the longitudinal acceleration.

4. 2. The vehicle travel data estimation device according to claim 1, A storage unit that stores a database that associates the travel route with the travel data, The control unit refers to the database and estimates the driving data based on the driving route.

5. 5. The vehicle travel data estimation device according to claim 4, The database associates different pieces of driving data with the driving route depending on time and date.

6. 2. The vehicle travel data estimation device according to claim 1, A vehicle driving data estimation device, wherein the speed and acceleration data included in the driving data is time-series data.

7. 2. The vehicle travel data estimation device according to claim 1, The control unit is Further acquiring information on waypoints as information regarding the travel of the vehicle; A vehicle travel data estimation device that estimates a travel route of the vehicle based on the information on the departure point, the information on the destination point, and the information on the intermediate points.

8. 2. The vehicle travel data estimation device according to claim 1, The control unit is acquiring position information of the vehicle from the vehicle at predetermined time intervals; a vehicle travel data estimation device that estimates a travel route of the vehicle using two pieces of position information of the vehicle acquired at the predetermined time intervals as information on the departure point and information on the destination point.

9. 2. The vehicle travel data estimation device according to claim 1, The control unit estimates the driving route so as to minimize a driving distance or a driving time from the starting point to the destination point.

10. 2. The vehicle travel data estimation device according to claim 1, The control unit estimates the driving route by weighting according to road width so as to increase the probability that the driving route includes a wide road.

11. 2. The vehicle travel data estimation device according to claim 1, The control unit estimates the driving route by weighting according to a legal speed so as to increase the probability that the driving route includes a road with a higher legal speed.

12. A vehicle driving data estimation device includes: Acquiring information on a starting point and information on a destination point as information related to vehicle travel; estimating a travel route of the vehicle based on the information of the starting point and the information of the destination point; estimating travel data of the vehicle traveling along the travel route based on the estimated travel route; Executing an operation including The running data includes at least one of speed, acceleration, and running distance.

13. A vehicle travel data estimation method in a vehicle travel data estimation device, comprising: Acquiring information on a starting point and information on a destination point as information related to vehicle travel; estimating a travel route of the vehicle based on the information of the starting point and the information of the destination point; estimating travel data of the vehicle traveling along the travel route based on the estimated travel route; Including, The vehicle driving data estimation method, wherein the driving data includes at least one of speed, acceleration, and driving distance.

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