Evaluation device, evaluation method, and evaluation program

The evaluation device comprehensively assesses driving suitability by integrating visual and operation data to address the limitations of single-element assessments, ensuring accurate and timely feedback to drivers.

JP2025129230AActive Publication Date: 2025-09-04PIONEER IP
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Patent Information

Application Number
JP2025107779
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2020-02-05
Filing Date
2025-06-25
Publication Date
2025-09-04
Estimated Expiration
2041-02-03

AI Technical Summary

Technical Problem

Existing vehicle driving assistance systems primarily assess driving ability based on a single element of operation, neglecting the decline in cognition and judgment with age, which are crucial factors in driving suitability.

Method used

An evaluation device that acquires visual information and operation data, calculates statistical values based on their relationship, and evaluates driving suitability comprehensively by considering cognition, judgment, and operation elements.

Benefits of technology

Accurately evaluates driving suitability by considering multiple elements of driving behavior, providing timely notifications to drivers about their fitness levels and when they should refrain from driving.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a terminal device that constitutes an evaluation device capable of comprehensively evaluating driving adequacy of a driver based on a plurality of elements of a driving activity.SOLUTION: An evaluation device 1 includes a first information acquisition unit 11, a second information acquisition unit 12, a storage unit 13, a calculation unit 14, and an evaluation unit 15. The first information acquisition unit 11 acquires first information related to an amount of visual information around a mobile body that changes with movement. The second information acquisition unit 12 acquires second information related to an operation speed or operation amount of an operation device that operates the mobile body. The storage unit 13 stores, as relevant information, the first information and the second information when the operation speed or operation amount exceeds a threshold value in association with each other. The calculation unit 14 calculates a statistic value of the operation speed or operation amount corresponding to the amount of visual information based on the relevant information. The evaluation unit 15 evaluates driving adequacy of a driver who operates the mobile body based on a relationship between the amount of visual information and the statistic value in the relevant information.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present invention relates to an evaluation device, an evaluation method, and an evaluation program. [Background technology]

[0002] Patent Document 1 discloses a vehicle driving assistance device. This vehicle driving assistance device first learns vehicle deceleration behavior data from the start of braking until the vehicle stops, or steering wheel operation data from the start of steering wheel operation until the end of operation. Next, when the brakes are operated or the steering wheel is operated, the latest deceleration behavior data or steering wheel operation data is compared with past deceleration behavior data or steering wheel operation data. Then, based on the comparison result, it is determined whether the driver's driving ability has deteriorated beyond a predetermined standard. The vehicle driving assistance device configured in this manner can detect deterioration of the driver's driving ability over time and provide assistance in vehicle driving in accordance with the deterioration. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2012-254694 Summary of the Invention [Problem to be solved by the invention]

[0004] Generally, driving behavior is made up of three driving suitability factors: "cognition," "judgment," and "operation." In particular, the driving suitability factors of "cognition" and "judgment" tend to decline significantly with age. In the above vehicle driving assistance device, the driving fitness is determined based on one element of "operation" of driving behavior, and deterioration of driving operation over time is determined.

[0005] One example of the problem that the invention aims to solve is to provide an evaluation device and a terminal device that constitutes the evaluation device that can comprehensively evaluate a driver's driving suitability based on multiple elements of driving behavior. [Means for solving the problem]

[0006] One or more of the present inventions are characterized in that the evaluation device includes a first information acquisition unit that acquires first information regarding the amount of visual information around a moving body that changes with each movement; a second information acquisition unit that acquires second information regarding the operation speed or operation amount of an operation device that operates the moving body; a memory unit that associates the first information at the time of acquisition of the second information and stores it as related information; a calculation unit that calculates a statistical value of the operation speed or the operation amount corresponding to the amount of visual information based on the related information; and an evaluation unit that evaluates the driving suitability of a driver operating the moving body based on the relationship between the amount of visual information in the related information and the statistical value.

[0007] One or more of the present inventions are an evaluation method executed by an evaluation device that evaluates the driving fitness of a driver who operates a mobile body, the evaluation method comprising the steps of: acquiring first information regarding the amount of visual information around the mobile body that changes with each movement; acquiring second information regarding the operation speed or operation amount of an operation device that operates the mobile body; associating the first information and the second information when the operation speed or the operation amount exceeds a threshold and storing them as related information; calculating a statistical value of the operation speed or the operation amount corresponding to the amount of visual information based on the related information; and evaluating the driving fitness of the driver who operates the mobile body based on the relationship between the amount of visual information in the related information and the statistical value.

[0008] One or more of the present inventions are an evaluation program for causing a computer to execute an evaluation method in an evaluation device that evaluates the driving suitability of a driver who operates a mobile object, the evaluation program comprising a first information acquisition unit, a second information acquisition unit, a memory unit, a calculation unit, and an evaluation unit, the evaluation program causing the computer to execute the following steps: the first information acquisition unit acquires first information regarding the amount of visual information around the mobile object that changes with each movement; the second information acquisition unit acquires second information regarding the operation speed or operation amount of an operation device that operates the mobile object; the memory unit associates the first information and the second information when the operation speed or the operation amount exceeds a threshold and stores them as related information; the calculation unit calculates a statistical value of the operation speed or the operation amount corresponding to the amount of visual information based on the related information; and the evaluation unit evaluates the driving suitability of the driver who operates the mobile object based on the relationship between the amount of visual information in the related information and the statistical value. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a block diagram of an evaluation system for evaluating driving fitness according to one embodiment of the present invention. [Figure 2] FIG. 2 is a diagram showing an example of the first information acquired by the first information acquisition unit of the evaluation system shown in FIG. 1, illustrating the scenery around the moving object when the amount of visual information is large. [Figure 3] FIG. 3 is another example of the first information, showing a scene around the moving object when the amount of visual information is less than the amount of visual information shown in FIG. [Figure 4] FIG. 4 is a graph showing statistical values ​​of operation speed or operation amount relative to the amount of visual information calculated in the evaluation system shown in FIG. [Figure 5] FIG. 5 is a graph showing the driving fitness evaluated in the evaluation system shown in FIG. 1, illustrating the tendency of deterioration in the latest driving fitness relative to the driver's past driving fitness. [Figure 6]FIG. 6 is a graph showing the tendency of decline in a driver's physical ability evaluated in the evaluation system shown in FIG. 1 relative to the average driving fitness of a reference driver. [Figure 7] FIG. 7 is a flowchart illustrating an evaluation method and evaluation program in the evaluation system shown in FIG. 1, from acquiring the first information and the second information acquired by the second information acquisition unit to storing them in the memory unit as related information. [Figure 8] FIG. 8 is a flowchart illustrating an evaluation method and an evaluation program for evaluating driving fitness based on related information in the evaluation system shown in FIG. [Figure 9] FIG. 9 is a flowchart illustrating a method for correcting the amount of visual information according to the moving speed of a moving object in the evaluation method and evaluation program in the evaluation system shown in FIG. [Figure 10] FIG. 10 is a flowchart illustrating a method for selecting related information for a known travel route in the evaluation method and evaluation program in the evaluation system shown in FIG. DETAILED DESCRIPTION OF THE INVENTION

[0010] The evaluation device according to a first embodiment of the present invention includes a first information acquisition unit that acquires first information regarding the amount of visual information around a moving body that changes with each movement; a second information acquisition unit that acquires second information regarding the operation speed or operation amount of an operation device that operates the moving body; a memory unit that associates the first information and the second information when the operation speed or operation amount exceeds a threshold and stores them as related information; a calculation unit that calculates a statistical value of the operation speed or operation amount corresponding to the amount of visual information based on the related information; and an evaluation unit that evaluates the driving suitability of a driver operating the moving body based on the relationship between the amount of visual information in the related information and the statistical value.

[0011] The evaluation device according to the first embodiment includes a first information acquisition unit, a second information acquisition unit, a storage unit, a calculation unit, and an evaluation unit. The first information acquisition unit acquires first information regarding the amount of visual information around the moving object that changes with each movement. The second information acquisition unit acquires second information regarding the operation speed or operation amount of the operation device that operates the moving object. The storage unit associates the first information and the second information when the operation speed or operation amount exceeds a threshold and stores them as related information. The calculation unit calculates a statistical value of the operation speed or operation amount corresponding to the amount of visual information based on the related information. Here, the "amount of visual information" is related to the "cognition" element of driving behavior, and the "timing of starting to operate the operating device depending on the amount of visual information" is related to the "cognition" and "judgment" elements of driving behavior. Furthermore, the "operation of the operating device" is related to the "operation" element of driving behavior. In other words, the calculation unit calculates a statistical value of the operation speed or operation amount corresponding to the amount of visual information based on multiple elements of driving behavior. Even if the amount of visual information seen by the driver while driving is the same, if the driver's "cognition" and "judgment" abilities are declining, a delay will occur in "operation," and this statistical value reflects a tendency for a decline in driving fitness. Therefore, the evaluation unit can evaluate the driving suitability of a driver operating a mobile vehicle based on the relationship between the amount of visual information in the related information and statistical values, and the evaluation device can comprehensively evaluate the driving suitability of a driver based on multiple elements of driving behavior.

[0012] In the evaluation device according to the second embodiment of the present invention, in the evaluation device according to the first embodiment, the evaluation unit calculates evaluation information indicating the tendency of the driver to delay operation of the moving body according to the amount of visual information, based on the relationship between the amount of visual information and the statistical value.

[0013] In the evaluation device according to the second embodiment, the evaluation unit calculates evaluation information, which indicates a tendency of a delay in the operation of the vehicle by the driver depending on the amount of visual information, based on the relationship between the amount of visual information and the statistical value. Therefore, the evaluation unit can comprehensively evaluate the driving suitability regarding the tendency of the driver to delay operating the vehicle depending on the amount of visual information.

[0014] An evaluation device according to a third embodiment of the present invention is the evaluation device according to the first or second embodiment, further comprising a correction unit that corrects the amount of visual information of the first information so that it increases as the moving speed of the moving object increases.

[0015] The evaluation device according to the third embodiment further includes a correction unit that corrects the amount of visual information in the first information so as to increase the amount of visual information as the moving speed of the moving object increases. As the moving speed increases, the driver's field of vision narrows and their eyesight deteriorates, so that even if the amount of visual information remains the same, the time required for recognition increases. Therefore, the amount of visual information can be corrected according to the moving speed of the moving object, and the driving suitability can be accurately evaluated based on a plurality of elements of the driving behavior.

[0016] An evaluation device according to a fourth embodiment of the present invention is an evaluation device according to any one of the first to third embodiments, wherein the memory unit further includes an information selection unit that accumulates the history of the moving body's movement along a movement route as historical information, and excludes from the related information the first information and the second information when the moving body moves along a movement route identified as a known movement route based on the historical information.

[0017] In the evaluation device according to the fourth embodiment, the storage unit stores a history of the moving object's travel along a travel route as history information. The evaluation device further includes an information selection unit. The information selection unit excludes, from the related information, first information and second information when the moving object traveled along a travel route identified as a known travel route based on the history information. For example, even if a route involves a large amount of visual information, if the driver travels the same route multiple times, he or she will become familiar with the points necessary for operation each time the vehicle moves, and the time required to recognize these points will be less affected by the amount of visual information. In other words, the driving suitability of the "cognition" and "judgment" elements of driving behavior tends to increase. Therefore, by excluding the first information and the second information for a known travel route based on historical information from the related information, the accuracy of calculating statistical values ​​can be improved, and driving suitability can be accurately evaluated based on multiple elements of driving behavior.

[0018] An evaluation device according to a fifth embodiment of the present invention is an evaluation device according to any one of the first to fourth embodiments, and is provided with a first notification information generation unit that generates first notification information to notify the driver that their driving suitability has declined when the decline in the driver's latest driving suitability exceeds a first standard compared to the driver's past driving suitability evaluated by the evaluation unit.

[0019] The evaluation device according to the fifth embodiment includes a first notification information generation unit that generates first notification information to notify the driver that the driving suitability has deteriorated when the driver's latest driving suitability has deteriorated beyond a first standard compared to the driver's past driving suitability evaluated by the evaluation unit. If the first notification information is notified to the driver, the driver can be made to recognize that the latest driving suitability has deteriorated compared to the past driving suitability.

[0020] An evaluation device according to a sixth embodiment of the present invention is an evaluation device according to any one of the first to fifth embodiments, and is equipped with a second notification information generation unit that generates second notification information to notify the driver that they should refrain from driving when the decline in the driver's latest driving suitability evaluated by the evaluation unit exceeds a second standard compared to a standard driving suitability.

[0021] The evaluation device according to the sixth embodiment includes a second notification information generation unit that generates second notification information to notify the driver that he or she should refrain from driving when the latest driving fitness of the driver evaluated by the evaluation unit has decreased by more than a second standard compared to the standard driving fitness. If the second notification information is notified to the driver, the driver can be made to recognize that the latest driving fitness has decreased compared to the reference driving fitness, and therefore the driver should refrain from driving.

[0022] An evaluation device according to a seventh embodiment of the present invention is the evaluation device according to any one of the first to sixth embodiments, further comprising a server communication unit that receives the first information and the second information transmitted from the mobile body.

[0023] The evaluation device according to the seventh embodiment further includes a server communication unit. The server communication unit receives the first information and the second information transmitted from the mobile object. The first information acquisition unit acquires the first information via the server communication unit. The second information acquisition unit acquires the second information via the server communication unit. The server communication unit, the first information acquisition unit, the second information acquisition unit, the storage unit, the calculation unit, and the evaluation unit constitute a server. Therefore, the server can accurately evaluate the driving suitability based on multiple elements of the driving behavior.

[0024] An evaluation device according to an eighth embodiment of the present invention is the evaluation device according to any one of the first to sixth embodiments, and can be mounted on a moving body.

[0025] The evaluation device according to the eighth embodiment can be mounted on a moving body, for example, as an in-vehicle terminal. Therefore, in a mobile object, driving suitability can be accurately evaluated based on multiple elements of driving behavior.

[0026] An evaluation method according to a ninth embodiment of the present invention is an evaluation method executed by an evaluation device that evaluates the driving suitability of a driver who operates a mobile body, and includes the steps of: acquiring first information regarding the amount of visual information around the mobile body that changes with each movement; acquiring second information regarding the operation speed or operation amount of the operation device that operates the mobile body; associating the first information and the second information when the operation speed or operation amount exceeds a threshold value and storing them as related information; calculating a statistical value of the operation speed or operation amount corresponding to the amount of visual information based on the related information; and evaluating the driving suitability of the driver who operates the mobile body based on the relationship between the amount of visual information in the related information and the statistical value.

[0027] In the evaluation method according to the ninth embodiment, first information on the amount of visual information around the moving object that changes with each movement and second information on the operation speed or operation amount of the operation device that operates the moving object are acquired. Next, the first information and the second information when the operation speed or operation amount exceeds a threshold are associated with each other and stored as associated information. Next, a statistical value of the operation speed or operation amount relative to the amount of visual information is calculated based on the associated information. Here, the "amount of visual information" is related to the "cognition" element of driving behavior, and the "timing of starting to operate the operating device depending on the amount of visual information" is related to the "cognition" and "judgment" elements of driving behavior. Furthermore, the "operation of the operating device" is related to the "operation" element of driving behavior. In other words, the statistical value of the operation speed or operation amount relative to the amount of visual information is calculated based on multiple elements of motor behavior. Furthermore, the driving suitability of a driver operating a mobile vehicle can be evaluated based on the relationship between the amount of visual information in the related information and statistical values, so the evaluation method can comprehensively evaluate the driving suitability of a driver based on multiple elements of driving behavior.

[0028] An evaluation program according to a tenth embodiment of the present invention is an evaluation program for causing a computer to execute an evaluation method in an evaluation device that comprises a first information acquisition unit, a second information acquisition unit, a memory unit, a calculation unit, and an evaluation unit, and that evaluates the driving suitability of a driver who operates a mobile body.The evaluation program causes the computer to execute the following steps: the first information acquisition unit acquires first information regarding the amount of visual information around the mobile body that changes with each movement; the second information acquisition unit acquires second information regarding the operation speed or operation amount of the operation device that operates the mobile body; the memory unit associates the first information and the second information when the operation speed or operation amount exceeds a threshold and stores them as related information; the calculation unit calculates a statistical value of the operation speed or operation amount corresponding to the amount of visual information based on the related information; and the evaluation unit evaluates the driving suitability of the driver who operates the mobile body based on the relationship between the amount of visual information in the related information and the statistical value.

[0029] An evaluation program according to a tenth embodiment is an evaluation program for causing a computer to execute an evaluation method for an evaluation device that evaluates the driving fitness of a driver operating a mobile object, the evaluation program including a first information acquisition unit, a second information acquisition unit, a storage unit, a calculation unit, and an evaluation unit. In this evaluation program, the first information acquisition unit first acquires first information regarding the amount of visual information around the mobile object that changes with each movement, and the second information acquisition unit acquires second information regarding the operation speed or operation amount of the operation device that operates the mobile object. Next, the storage unit associates the first information and the second information when the operation speed or operation amount exceeds a threshold and stores them as related information. Next, the calculation unit calculates a statistical value of the operation speed or operation amount corresponding to the amount of visual information based on the related information. Here, the "amount of visual information" is related to the "cognition" element of driving behavior, and the "timing of starting to operate the operating device depending on the amount of visual information" is related to the "cognition" and "judgment" elements of driving behavior. Furthermore, the "operation of the operating device" is related to the "operation" element of driving behavior. In other words, the statistical value of the operation speed or operation amount relative to the amount of visual information is calculated based on multiple elements of motor behavior. The evaluation unit evaluates the driving fitness of the driver who operates the vehicle based on the relationship between the amount of visual information in the related information and the statistical value. Therefore, the evaluation program can cause a computer to execute an evaluation method that comprehensively evaluates the driving fitness of the driver based on multiple elements of driving behavior. [Example]

[0030] An evaluation device, an evaluation method, and an evaluation program according to one embodiment will be described below with reference to FIGS.

[0031] (Overall configuration of evaluation system 10) As shown in Fig. 1, an evaluation device 1 according to the first embodiment is included in an evaluation system 10, and the evaluation system 10 is constructed using the evaluation device 1. The evaluation system 10 comprises, as its main components, a server 2 and a plurality of terminals 3. Here, the server 2 is constructed to include the evaluation device 1.

[0032] In this embodiment, the evaluation system 10 is configured as a communication navigation system. For this purpose, the server 2 transmits various information required for navigation, such as map information, to a plurality of terminals 3, and also acquires various information from the plurality of terminals 3. The terminal 3 is configured as an in-vehicle terminal or a client terminal attached to a mobile body (not shown) and has a navigation function. The mobile body is a vehicle, more specifically, an automobile, for example. The mobile body is not limited to an automobile, and includes vehicles such as motorcycles, trucks, buses, trains, and bicycles, as well as ships and aircraft. The main components will be described in detail below.

[0033] (Configuration of Terminal 3) (1) Overall configuration of Terminal 3 1, the terminal 3 includes a terminal control unit 30, a terminal communication unit 31, a display unit 32, an operation input unit 33, an audio output unit 34, an external sensor unit 35, a vehicle speed acquisition unit 36, a vehicle position detection unit 37, a steering angle detection unit 38, and an acceleration detection unit 39. The components such as the terminal control unit 30 are connected to each other via a common bus wiring (reference numerals omitted).

[0034] (2) Configuration of the terminal communication unit 31 The terminal communication unit 31 establishes a communication connection with the server 2 via a network.

[0035] (3) Configuration of the display unit 32 The display unit 32 includes a liquid crystal display panel or an organic electroluminescence panel, and displays map information and the like acquired from the server 2 as an image. The display unit 32 is attached to or built into the instrument panel of the vehicle, and the image displayed on the display unit 32 is visible to the driver operating the vehicle or passengers in the vehicle. The display unit 32 may also be a projector that forms a head-up display. Furthermore, in this embodiment, the display unit 32 is also used as a notification unit that notifies the driver of the evaluation result of the driving suitability (first notification information or second notification information) generated using the evaluation device 1 by image display.

[0036] (4) Configuration of the operation input unit 33 The operation input unit 33 is configured to include, for example, a touch panel disposed on top of the liquid crystal display panel of the display unit 32. The operation input unit 33 can perform various operations, such as setting a destination route for the navigation function.

[0037] (5) Configuration of the audio output unit 34 The audio output unit 34 includes a speaker. The audio output unit 34 can output route guidance information of the navigation function as audio. Similarly to the display unit 32, the audio output unit 34 is also used as a notification unit that notifies the driver of the evaluation result of the driving suitability (first notification information or second notification information) generated by the evaluation device 1 by audio output.

[0038] (6) Configuration of the external sensor unit 35 The external sensor unit 35 is configured to include at least an imaging device mounted on the automobile. The imaging device includes, for example, a two-dimensional image sensor. As the two-dimensional image sensor, a CCD (Charge Coupled Device) image sensor or a CMOS (Complementary Metal Oxide Semiconductor) image sensor is practically used. Furthermore, the external sensor unit 35 may include a LIDAR (Light Detection and Ranging or Laser Imaging Detection and Ranging) or a SONAR (Sound Navigation and Ranging).

[0039] The external sensor unit 35 can capture the scenery around the automobile, which changes with each movement, as imaging information (image information). In the case of an external sensor unit 35 mounted on the front side of the automobile to capture images of the front, the scenery around the automobile is imaging information captured using the external sensor unit 35, which corresponds to the scenery ahead that can be seen by the driver. In the case of an external sensor unit 35 mounted on the rear side of the vehicle to capture images of the rear, the image information corresponds to the rear scenery visible to the driver and is captured using the external sensor unit 35. Similarly, in the case of an external sensor unit 35 mounted on the side of the vehicle to capture images of the side, the image information corresponds to the lateral scenery visible to the driver and is captured using the external sensor unit 35. In the case of an external sensor unit 35 that can capture images of the entire surroundings in the horizontal direction of the vehicle, the image information corresponds to the entire surrounding scenery visible to the driver and is captured using the external sensor unit 35.

[0040] The image information captured as a landscape includes visual information that the driver sees when driving the vehicle, such as road configurations, traffic signs, other vehicles such as automobiles, pedestrians, signs, trees, buildings, mountains, and the sea. The visual information changes for each image captured at a predetermined frame rate. In other words, when the vehicle is moving, the visual information changes with each movement of the vehicle (or with each capture of the landscape). Here, the predetermined frame rate is, for example, 30 FPS (Frames Per Second) or 27.5 FPS.

[0041] FIG. 2 shows an example of a scene ahead captured using an external sensor unit 35 mounted on the front side of a vehicle. The scene shown in FIG. 2 is a road scene near a busy downtown area at night, and the captured image information includes many objects such as traffic signs S, pedestrians P, signs D, and buildings B. For this reason, the scene is highly complex and contains a large amount of visual information. In this embodiment, an index indicating the amount of visual information around the vehicle (moving object) based on this image information is defined as the first information. In the case of the scene shown in FIG. 2, the first information indicates that the amount of visual information is relatively large. Here, "complexity" is obtained as the visual complexity of a landscape by analyzing at least one of the numerical elements of objects such as traffic signs S included in the image information and the visual elements of the landscape itself in the image information. The "numerical elements" include the distance from the automobile (own vehicle) to the object, the number of objects included in the image information, etc. The "visual elements of the landscape itself" are, for example, the monotony that represents the visual effect visually produced by the area of ​​buildings in the landscape, the color scheme, the color variation, etc., and include elements related to the sense of openness that the driver senses. JP 2009-230506 A discloses a specific example and method of analyzing "complexity." Furthermore, as disclosed in Japanese Patent No. 6214798 A, "complexity" can be calculated from the two-dimensional frequency of a scene using the existing Discrete Cosine Transform (DCT) method.

[0042] On the other hand, Fig. 3 similarly shows a forward scene captured using an external sensor unit 35 mounted on the front of the automobile. The scene shown in Fig. 3 is a suburban road scene in the daytime, and the captured image information contains fewer objects than the scene shown in Fig. 2. Therefore, the scene has a low level of complexity and a small amount of visual information. In this embodiment, in the case of the scene shown in Fig. 3, the first information indicates that the amount of visual information is relatively small.

[0043] (7) Configuration of the vehicle speed acquisition unit 36 Returning to Fig. 1, the vehicle speed acquisition unit 36 ​​acquires the vehicle speed (moving speed of a moving object) of the vehicle. The vehicle speed is transmitted to the vehicle speed acquisition unit 36 ​​from a vehicle speed sensor or an ECU (Electrical Control Unit or Engine Control Unit) of the vehicle using CAN (Controller Area Network) communication. Furthermore, the vehicle speed may be acquired by the vehicle speed acquisition unit 36 ​​based on positioning information obtained by a GNSS (Global Navigation Satellite System).

[0044] (8) Configuration of the self-location detection unit 37 The self-position detection unit 37 detects the self-position of the automobile. The self-position is detected based on the positioning information by the GNSS described above. The self-position may also be detected by a known method other than based on the positioning information by the GNSS.

[0045] (9) Configuration of steering angle detection unit 38 The steering angle detection unit 38 includes a gyro sensor, and is capable of calculating the steering angle and steering speed of the steering wheel that controls the traveling direction of the vehicle from the angular velocity information of the vehicle acquired by the gyro sensor and the vehicle speed of the vehicle acquired by the vehicle speed acquisition unit 36. The steering wheel is one of the operating devices that operate the vehicle. In this embodiment, the steering speed of the steering wheel is used as second information related to the operating speed of the operating device that operates the vehicle. The steering angle detection unit 38 may acquire the angular velocity or the steering angle from the ECU via CAN communication, for example.

[0046] (10) Configuration of acceleration detection unit 39 The acceleration detection unit 39 includes an acceleration sensor and detects acceleration information of the vehicle. In particular, the deceleration caused by the brake device that adjusts the vehicle speed is calculated here. The brake device is another operating device for operating the vehicle, and the deceleration of the vehicle is related to the amount of operation of the brake device. In this embodiment, this acceleration information is used as second information related to the amount of operation of the operating device that operates the vehicle.

[0047] (11) Configuration of the terminal control unit 30 The terminal control unit 30 includes a central processing unit (CPU) and a storage unit, and controls the operation of each component of the terminal 3, such as the terminal communication unit 31. In the terminal control unit 30, first information relating to the amount of visual information around the automobile that changes with each movement is generated based on the image information captured using the external sensor unit 35. Additionally, the terminal control unit 30 generates second information related to the amount of operation of the operating device based on the acceleration information acquired using the acceleration detection unit 39. In this case, the operating device is a brake device, and deceleration information is acquired as acceleration information, so the second information is information related to the amount of operation of the brake device. Furthermore, in the terminal control unit 30, second information related to the operation speed of the operation device is generated based on the steering angle information acquired using the steering angle detection unit 38. In this case, the operation device is a steering device, and the second information is information related to the operation speed of the steering device.

[0048] The first information and second information generated in the terminal control unit 30 are always transmitted to the server 2 using the terminal communication unit 31. When the first information and second information are transmitted, identification (ID) information for identifying the terminal 3 is added.

[0049] (Configuration of Evaluation Device 1 and Server 2) 1, the server 2 includes a server control unit 20, a server communication unit 21, a map database 22, and a storage device 23, and the evaluation device 1 is constructed using the components of the server control unit 20 and the server communication unit 21. That is, the evaluation device 1 includes the server control unit 20, the server communication unit 21, a first information acquisition unit 11, a second information acquisition unit 12, a storage unit 13, a calculation unit 14, an evaluation unit 15, a first notification information generation unit 18, and a second notification information generation unit 19. Furthermore, in this embodiment, the evaluation device 1 includes a correction unit 16 and an information selection unit 17 . The components of the server 2, such as the server control unit 20, and the components of the evaluation device 1, such as the first information acquisition unit 11, are connected to each other via a common bus line (reference numeral omitted).

[0050] (1) Configuration of the server communication unit 21 The server communication unit 21 establishes a communication connection via a network with the terminal communication unit 31 of the terminal 3. The server communication unit 21 is shared by the server 2 and the evaluation device 1.

[0051] (2) Structure of Map Database 22 The map database 22 stores map information that is mainly used for the communication navigation system.

[0052] (3) Configuration of the storage device 23 The storage device 23 is configured to include a ROM (Read Only Memory), a RAM (Random Access Memory), and a HD (Hard Disk). The ROM stores, for example, a program to be executed in the server control unit 20. The RAM temporarily stores processing information processed in the server control unit 20. The HD is constructed as a large-capacity storage, and stores, for example, processing information, various information transmitted from the terminal 3, etc.

[0053] (4) Configuration of the server control unit 20 The server control unit 20 is configured to include a central processing unit (CPU) and a storage unit, similar to the terminal control unit 30. The server control unit 20 controls the operation of each component of the server 2, such as the server communication unit 21, and further controls the operation of each component of the evaluation device 1. Furthermore, the central processing unit and storage unit of the server control unit 20 constitute a computer that executes an evaluation program according to this embodiment. This evaluation program and an evaluation method achieved by executing the evaluation program will be described later.

[0054] (5) Configuration of the first information acquisition unit 11 and the second information acquisition unit 12 The first information acquisition unit 11 of the evaluation device 1 acquires first information on the amount of visual information transmitted from the terminal communication unit 31 of the terminal 3 via the server communication unit 21 of the server 2 . Similarly, the second information acquisition unit 12 acquires second information relating to the operation speed or operation amount transmitted from the terminal communication unit 31 via the server communication unit 21.

[0055] (6) Configuration of the storage unit 13 The storage unit 13 is constructed to include a RAM or a HD. When the operation speed or operation amount of the second information acquired by the second information acquisition unit 12 exceeds a preset threshold, the storage unit 13 associates the second information with the first information regarding the amount of visual information acquired by the first information acquisition unit 11, and stores the second information as associated information. More specifically, when information relating to the amount of brake operation when the driver applies the brakes in the brake device exceeds a threshold, i.e., when the driver performs a sudden brake operation that exceeds a preset standard, associated information in which the first information relating to the amount of visual information is associated with the second information relating to the amount of operation of the brake device is stored in the storage unit 13. Also, when information relating to the steering speed when the driver turns the steering wheel in the steering device exceeds a threshold, i.e., when the driver performs a sudden steering operation that exceeds a preset standard, associated information in which the first information relating to the amount of visual information is associated with the second information relating to the operating speed of the steering device is stored in the storage unit 13. The related information includes information on the date and time when the related information was acquired, and is stored in the storage unit 13 for each piece of identification information of the terminal 3.

[0056] (5) Configuration of the calculation unit 14 The calculation unit 14 calculates, at each predetermined read timing, a statistical value of the operation speed or operation amount corresponding to the amount of visual information based on the related information acquired during the most recent read period and stored in the storage unit 13. Here, the "predetermined read timing" is set, for example, every six months or every year. The "most recent read period" is set, for example, for the most recent six months or every year. The statistical values ​​are calculated using statistical methods such as correlation analysis and regression analysis, and are calculated as quantities that indicate the tendency of changes in operation speed or operation amount relative to changes in the amount of visual information. For example, if a vehicle turns right at an intersection and a pedestrian is crossing the road beyond the right turn, the driver will operate the steering wheel or brake to avoid approaching the pedestrian. If the driver can quickly recognize the pedestrian, he or she can operate the brakes or steering wheel with ample time to avoid approaching the pedestrian. However, the slower the driver recognizes the pedestrian, the slower the operation action will be, and as a result, the driver will have to operate the steering or brakes with a greater operation speed or amount. In other words, even in an environment with the same amount of visual information, it can be said that a driver with reduced cognitive or judgment ability tends to operate at a greater speed or amount in an emergency. Therefore, the statistical values ​​of operation speed or operation amount corresponding to the amount of visual information calculated here indicate the tendency of delays in the driver's driving behavior depending on the amount of visual information in the vehicle's driving environment. An example of a graph of statistical values ​​is shown in Figure 4. The horizontal axis is the amount of visual information, and the vertical axis is the operation speed or amount of operation. As shown in Figure 4, as the amount of visual information increases, the operation speed or amount of operation tends to increase due to delays in recognition and judgment, and the statistical values ​​indicate a tendency for delays in driving behavior.

[0057] (6) Configuration of evaluation unit 15 Returning to FIG. 1, the evaluation unit 15 evaluates the driving fitness of the driver who operates the vehicle based on the relationship between the amount of visual information in the related information and the statistical value calculated by the calculation unit 14. Two types of evaluation methods are implemented here as methods for evaluating driving fitness. The first evaluation method is a method for evaluating the driving fitness of the same driver by comparing the tendency of delays in past driving behavior with the tendency of delays in the latest (current) driving behavior. Here, the term "same driver" is used to mean, for example, that the identification information transmitted from the terminal 3 is the same. The second evaluation method is a method for evaluating the driving fitness by comparing the tendency of delays in the driver's latest driving behavior with the tendency of delays in a reference driving behavior.

[0058] Specifically, in the first evaluation method, the latest driving delay tendency is compared with the driving delay tendency from, for example, one year ago or two years ago. Figure 5 shows an example of a graph of the driving delay tendency created based on the first evaluation method. Similar to the horizontal and vertical axes shown in Figure 4, in Figure 5, the horizontal axis represents the amount of visual information, and the vertical axis represents the operation speed or operation amount. As shown in Figure 5, comparing the latest driving delay trend with the past driving delay trend, the driving delay trend has deteriorated. The difference indicated by hatching represents the amount of deterioration.

[0059] On the other hand, in the second evaluation method, the tendency of delay in the latest driving behavior is compared with the tendency of delay in a reference driving behavior. Here, the "proneness of delay in the reference driving behavior" refers to, for example, the average tendency of delay in the driving behavior of a plurality of general drivers. FIG. 6 shows an example of a graph of the tendency of delay in driving behavior created based on the second evaluation method. Similar to the horizontal and vertical axes shown in FIG. 4, the horizontal axis in FIG. 6 represents the amount of visual information, and the vertical axis represents the operation speed or operation amount. As shown in Figure 6, when comparing the latest driving behavior delay trend with the reference driving behavior delay trend, the driving behavior delay trend has deteriorated. The difference indicated by hatching is the amount of deterioration.

[0060] (7) Configuration of the correction unit 16 1, the correction unit 16 of the evaluation device 1 transmits vehicle speed information acquired by the vehicle speed acquisition unit 36 ​​of the terminal 3 from the terminal communication unit 31 to the server communication unit 21 of the server 2. Based on this vehicle speed information, the correction unit 16 performs a correction to increase the amount of visual information in the first information as the moving speed of the moving object increases, that is, as the vehicle speed of the automobile increases. The correction unit 16 may be configured to include a table in which the amount of correction for the amount of visual information is stored for each vehicle speed, or may be configured as a calculation unit that calculates the amount of correction for the amount of visual information relative to the vehicle speed. Generally, as the vehicle speed increases, the driver's visual field narrows and their eyesight tends to deteriorate. Therefore, even if the amount of visual information is the same, when the vehicle speed increases, the time required to recognize the visual information increases compared to when the vehicle speed does not increase. The correction unit 16 adjusts for such changes in the time required to recognize the visual information that accompany changes in vehicle speed, making it possible to accurately evaluate the driving suitability of the driver, including the elements of "recognition" and "judgment" of the driver's driving behavior.

[0061] (8) Configuration of the information selection unit 17 In addition to storing the related information, the memory unit 13 also stores the history of the movement of the moving object along the travel route, i.e., the history of the automobile's travel route, as travel history information. Based on the travel history information stored in the memory unit 13, the information selection unit 17 excludes (selects) the first information and second information when the automobile traveled along a travel route identified as a known travel route from the related information, and does not store them in the memory unit 13. Generally, even if a point on a driving route has a large amount of visual information, if the driving route is a familiar and frequently used driving route, the driver is familiar with the points (visual information) that need to be checked, and the time required to recognize the visual information is less affected by the amount of visual information. In other words, the driving suitability, which includes the elements of "cognition" and "judgment" of the driver's driving behavior, tends to be highly evaluated. For this reason, the information selection unit 17 excludes related information acquired on the specified driving route from the evaluation of driving suitability, thereby enabling an accurate evaluation of driving suitability.

[0062] (9) Configuration of the first notification information generator 18 The first notification information generation unit 18 generates first notification information when the decline in the latest driving suitability of the same driver compared to the past driving suitability evaluated by the evaluation unit 15 using the first evaluation method exceeds a predetermined first standard. The first notification information is generated as information to notify the driver that his / her driving fitness has declined. Examples of the first notification information include audio information or text (message) information such as "Your current driving fitness has declined by 10% compared to one year ago. Please drive safely." Other examples of the first notification information include image information including the graph shown in FIG. 5 and information including two or more of the audio information and text information. The first notification information generated by the first notification information generation unit 18 is transmitted to the terminal 3 via the server communication unit 21 and the terminal communication unit 31, and is output as audio from the audio output unit 34 or as text information or image information from the display unit 32.

[0063] (10) Configuration of the second notification information generator 19 The second notification information generating unit 19 generates second notification information when the deterioration of the driver's latest driving fitness with respect to the standard driving fitness evaluated by the evaluation unit 15 using the second evaluation method exceeds a preset second standard. The second standard is set as a standard for appropriately driving the vehicle. The second notification information is generated as information to notify the driver that he or she should refrain from driving. Examples of the second notification information include at least one of audio information, text information, and image information such as "Your current driving fitness does not meet the fitness standard. Please refrain from driving or consider returning your driver's license." Examples of the image information include information including the graph shown in FIG. 6. The second notification information generated by the second notification information generation unit 19 is transmitted from the server 2 to the terminal 3, and is output from the audio output unit 34 as audio, or from the display unit 32 as text information or image information.

[0064] (Evaluation method and evaluation program structure) An evaluation method using the evaluation device 1 shown in Fig. 1 and an evaluation program for causing a computer to execute this evaluation method will be described with reference to Fig. 7 and Fig. 8. Note that each step (each component) of the evaluation method is the same as or substantially the same as each step (each component) of the evaluation program. Therefore, the evaluation method will be described below, and a redundant description of the evaluation program will be omitted.

[0065] (1) Evaluation method on terminal 3 The processing of the evaluation method is started in the terminal 3 of the evaluation system 10. As shown in Fig. 7, in the terminal 3, first information related to the amount of visual information around the vehicle, which changes with each run, is acquired using the external sensor unit 35 (step S1). Subsequently, self-position information of the vehicle is acquired using the self-position detection unit 37 (step S2). Subsequently, second information related to the operation speed or operation amount of an operation device of the vehicle is acquired using the vehicle speed acquisition unit 36, the acceleration detection unit 39, or the steering angle detection unit 38 (step S3). The operation speed or operation amount of the operation device here is the steering speed due to operation of the steering device or the deceleration due to operation of the brake device. Here, the order of steps S1 to S3 is not particularly limited, and the processing order may be reversed.

[0066] The various information such as the first information, location information, second information, and speed information acquired by the terminal 3 is transmitted to the server 2 via the terminal communication unit 31 and the server communication unit 21 (step S4). Identification information of the terminal 3 is added to the various information transmitted.

[0067] Next, it is determined whether or not the processing is to be continued in the terminal 3 (step S5). If it is determined that the processing is to be continued, the processing proceeds to step S1. If it is determined that the processing is not to be continued, the processing of the evaluation method in the terminal 3 ends.

[0068] (2) Evaluation method in the evaluation device 1 of the server 2 (method of storing and processing various information) In the evaluation device 1 constituting the server 2 of the evaluation system 10, a method for storing and processing various information of the evaluation method is started. As shown in Fig. 7, the server communication unit 21 receives various information transmitted from the terminal 3. The first information acquisition unit 11 acquires first information relating to the amount of visual information received in the server communication unit 21 (step S11). Similarly, the second information acquisition unit 12 acquires second information relating to the operation speed or operation amount received in the server communication unit 21.

[0069] The server control unit 20 determines whether the operation speed or operation amount of the second information acquired by the second information acquisition unit 12 exceeds a threshold value (step S12). This determination is made using the server control unit 20. If it is determined that the operation speed or operation amount does not exceed the threshold, the process proceeds to step S11. If it is determined that the operation speed or operation amount exceeds the threshold, the second information indicating that the operation speed or operation amount exceeds the threshold is associated with the first information regarding the amount of visual information corresponding to this second information, thereby generating associated information. This associated information is stored in the storage unit 13 (step S13).

[0070] Next, it is determined whether or not the processing is to be continued in the evaluation device 1 (step S14). If it is determined that the processing is to be continued, the processing proceeds to step S11. If it is determined that the processing is not to be continued, the processing of the evaluation method in the evaluation device 1 ends.

[0071] (3) Evaluation method in the evaluation device 1 (evaluation processing method for driving suitability) The evaluation device 1 starts the processing method for evaluating driving suitability. As shown in Fig. 8, the latest related information of the driver stored in the storage unit 13 of the evaluation device 1 is acquired for the terminal 3 attached to the vehicle to be evaluated (step S21). Based on the acquired related information, a statistical value of the operation speed or operation amount corresponding to the amount of visual information is calculated (step S22). The statistical value is calculated using the calculation unit 14 (see Figs. 1 and 4).

[0072] Subsequently, the driver's driving suitability is evaluated based on the relationship between the amount of visual information and the statistical value (step S23). As shown in Fig. 6, the deterioration amount (difference) of the driver's latest driving suitability with respect to the reference driving suitability is calculated (step S24). Here, it is determined whether the deterioration amount of the driving suitability exceeds a second standard (step S25).

[0073] If it is determined that the second standard is exceeded, the second notification information generating unit 19 generates second notification information that is a message to refrain from driving (step S32). The second notification information is transmitted to the terminal 3 via the server communication unit 21 and the terminal communication unit 31 (step S34). After this, the evaluation method ends. In the terminal 3, the second notification information is output from the audio output unit 34 as audio information, or from the display unit 32 as text information or image information.

[0074] On the other hand, if it is determined in step S25 that the second standard is not exceeded, the past related information of the driver stored in the storage unit 13 of the evaluation device 1 is acquired for the terminal 3 attached to the vehicle to be evaluated (step S26). Based on the acquired related information, a statistical value of the operation speed or operation amount corresponding to the amount of visual information is calculated (step S27). The statistical value is calculated using the calculation unit 14 (see FIGS. 1 and 4).

[0075] Subsequently, the driver's driving suitability is evaluated based on the relationship between the amount of visual information and the statistical value (step S28). As shown in Fig. 5, the deterioration amount (difference) of the latest driving suitability with respect to the past driving suitability for the same driver is calculated (step S29). Here, it is determined whether the deterioration amount of the driving suitability exceeds a first criterion (step S30).

[0076] If it is determined that the first standard is exceeded, the first notification information generating unit 18 generates first notification information that is a message indicating that the driving suitability has decreased (step S33). The first notification information is transmitted to the terminal 3 via the server communication unit 21 and the terminal communication unit 31 (step S34). Thereafter, the evaluation method ends. In the terminal 3, the first notification information is output from the audio output unit 34 as audio information, or from the display unit 32 as text information or image information.

[0077] On the other hand, if it is determined in step S30 that the first standard is not exceeded, either no message is displayed or a message indicating that there is no deterioration in driving fitness is generated as notification information (step S31). This notification information is transmitted to the terminal 3 via the server communication unit 21 and the terminal communication unit 31 (step S34). Thereafter, the evaluation method ends. When the terminal 3 generates the notification information, the notification information is output from the audio output unit 34 as audio information or from the display unit 32 as text information or image information.

[0078] (4) Correction method in the evaluation method In the evaluation method according to this embodiment, a correction process may be added between step S11 and step S12 of the evaluation method shown in FIG. In the correction process, when various information is acquired from the terminal 3 in step S11 shown in Fig. 7, the correction unit 16 (see Fig. 1) of the evaluation device 1 first acquires first information related to the amount of visual information (step S41), as shown in Fig. 9. Subsequently, the correction unit 16 acquires speed information (step S42). The speed information is information related to the vehicle speed.

[0079] Based on the acquired first information and speed information, the correction unit 16 corrects the amount of visual information of the first information according to the moving speed of the automobile (step S43). This correction is a correction that increases the amount of visual information as the moving speed increases. Then, based on the corrected amount of visual information, first information is generated (corrected) (step S44). When the operation speed or operation amount of the second information exceeds a threshold in step S12, this first information is associated with the second information and stored as related information in the storage unit 13 (see step S13 in FIG. 7). When the first information is generated in step S44, the correction process ends.

[0080] (5) Information selection method in evaluation method In the evaluation method according to this embodiment, an information selection process may be added between step S12 and step S13 of the evaluation method shown in FIG. In the information selection process, when various information is acquired from the terminal 3 in step S11 shown in Fig. 7, the information selection unit 17 (see Fig. 1) of the evaluation device 1 acquires the vehicle's location information (step S51). Furthermore, the information selection unit 17 accumulates movement history information, which is a history of when the vehicle moved along a movement route, based on the acquired vehicle's location information and the map information in the map database 22 (step S52). The movement history information may be stored in the storage unit 13.

[0081] The information selection unit 17 determines whether the latest travel route of the automobile is a known travel route based on the accumulated travel history information (step S53). If there is travel history information showing that the same travel route has been traveled multiple times, for example, five times or more, it is determined to be a known travel route. In this case, related information to be stored in the storage unit 13 is excluded, and the process proceeds to step S14 shown in FIG. 7 (step S55). After this, the information selection method ends. On the other hand, if it is determined that the travel route is not a known route, the process proceeds to step S13 shown in Fig. 7 (step S54), and the related information is stored in the storage unit 13. After this, the information selection method ends.

[0082] As shown in FIG. 1, the evaluation device 1 according to this embodiment includes a first information acquisition unit 11, a second information acquisition unit 12, a storage unit 13, a calculation unit 14, and an evaluation unit 15. The first information acquisition unit 11 acquires first information regarding the amount of visual information around the automobile (moving object) that changes with each movement. The second information acquisition unit 12 acquires second information regarding the operation speed or operation amount of an operation device that operates the automobile. The storage unit 13 associates the first information and the second information when the operation speed or operation amount exceeds a threshold and stores them as related information. The calculation unit 14 calculates a statistical value of the operation speed or operation amount corresponding to the amount of visual information based on the related information (see FIG. 4). Here, the "amount of visual information" is related to the "cognition" element of driving behavior, and the "timing of starting to operate the operating device depending on the amount of visual information" is related to the "cognition" and "judgment" elements of driving behavior. Furthermore, the "operation of the operating device" is related to the "operation" element of driving behavior. In other words, the calculation unit 14 calculates a statistical value of the operation speed or operation amount corresponding to the amount of visual information based on multiple elements of driving behavior. Even if the amount of visual information seen by the driver while driving is the same, if the driver's "cognition" and "judgment" abilities are declining, a delay will occur in "operation," and therefore this statistical value reflects a declining trend in driving fitness. Therefore, the evaluation unit 15 can evaluate the driving suitability of a driver who operates a vehicle based on the relationship between the amount of visual information in the related information and statistical values, and the evaluation device 1 can comprehensively evaluate the driving suitability of a driver based on multiple elements of driving behavior.

[0083] (Other Examples) (1) First Example 1 may be included in a terminal 3, and the evaluation device 1 may constitute the terminal 3. The components of the evaluation device 1 included in the terminal 3 include at least a first information acquisition unit 11, a second information acquisition unit 12, a memory unit 13, a calculation unit 14, and an evaluation unit 15. The evaluation device 1 may also include at least one of the components of a correction unit 16, an information selection unit 17, a first notification information generation unit 18, and a second notification information generation unit 19. The evaluation device 1 configured in this manner can be installed in an automobile because it constitutes the terminal 3. Therefore, in the automobile (terminal 3), it is possible to accurately evaluate driving suitability based on multiple elements of driving behavior.

[0084] (2) Second Example 1 acquires the second information related to the operation speed or the operation amount, so when the operation speed or the operation amount of the operation device exceeds a threshold, various information such as the first information and the second information related to the amount of visual information may be transmitted from the terminal 3 to the server 2. The determination of whether the operation speed or the operation amount exceeds the threshold is performed by the terminal control unit 30 of the terminal 3. In this case, the amount of communication of various information can be reduced, and the burden of various processes on the terminal control unit 30 of the terminal 3 and the server control unit 20 of the server 2 can be reduced.

[0085] (3) Third Example The map database 22 of the server 2 may store the amount of visual information, and the evaluation device 1 may acquire first information on the amount of visual information of corresponding position information from the map database 22 based on the self-position information of the terminal 3. More specifically, the amount of visual information of a landscape visible from a plurality of different positions on a road included in the map database 22 is stored in the map database 22 for each traveling direction of the road. The amount of visual information of a landscape visible from a plurality of positions on the road is calculated, for example, based on image information captured by a probe car. Alternatively, this amount of visual information may be calculated by statistical processing of the amount of visual information transmitted from terminals 3 mounted on a plurality of different automobiles. Based on self-location information and traveling direction information of the automobile acquired by the terminal 3, the evaluation device 1 acquires from the map database 22 the amount of visual information stored at a corresponding position on the road in association with the corresponding traveling direction. In this case, the process of acquiring the first information related to the amount of visual information in the terminal 3 can be eliminated.

[0086] The present invention is not limited to the above-described embodiment, and various modifications are possible without departing from the spirit and scope of the present invention. [Explanation of symbols]

[0087] 1 Evaluation device 10. Rating System 11 1st Information Acquisition Department 12 2nd Information Acquisition Department 13 Storage section 14 Calculation section 15 Evaluation Section 16 Correction unit 17 Information Selection Department 18 First notification information generation unit 19 Second notification information generation unit 2 Server 20 Server control unit 21 Server Communication Department 22 Map Database 23 Storage device 3. Terminal 30 Terminal control unit 31 Terminal communication unit 32 Display section 33 Operation input section 34 Audio output section 35 External sensor section 36 Vehicle speed acquisition section 37 Self-position detection unit 38 Steering angle detector 39 Acceleration detection unit

Claims

1. a first information acquisition unit that acquires first information regarding an amount of visual information around the moving object that changes with each movement; a second information acquisition unit that acquires second information related to an operation speed or an operation amount of an operation device that operates the moving object; a storage unit that associates the first information at the time of acquiring the second information and stores the first information as associated information; a calculation unit that calculates a statistical value of the operation speed or the operation amount corresponding to the amount of visual information based on the related information; an evaluation unit that evaluates the driving fitness of a driver who operates the vehicle based on the relationship between the amount of visual information in the related information and the statistical value; An evaluation device comprising:

2. The evaluation device according to claim 1 , wherein the storage unit associates the first information and the second information when the operation speed or the operation amount exceeds a threshold value and stores the first information and the second information as associated information.

3. 3. The evaluation device according to claim 1, wherein the evaluation unit calculates evaluation information indicating a tendency for the driver to delay operation of the moving body according to the amount of visual information based on a relationship between the amount of visual information and the statistical value.

4. 4. The evaluation device according to claim 1, further comprising a correction unit that corrects the amount of visual information of the first information so that it increases as the moving speed of the moving object increases.

5. the storage unit accumulates a history of the moving object's movement along a moving route as history information; The information selection unit is further configured to exclude, from the related information, the first information and the second information when the moving object traveled along a travel route identified as a known travel route based on the history information. The evaluation device according to any one of claims 1 to 4.

6. The evaluation device according to any one of claims 1 to 5, wherein the evaluation unit compares the driver's past driving suitability evaluated by the evaluation unit with the driver's latest driving suitability.

7. The evaluation device according to any one of claims 1 to 6, further comprising a first notification information generation unit that generates first notification information to notify the driver that his / her driving suitability has declined when the decline in the driver's latest driving suitability exceeds a first standard compared to the driver's past driving suitability evaluated by the evaluation unit.

8. 8. The evaluation device according to claim 1, wherein the evaluation unit compares a reference driving fitness with the latest driving fitness of the driver evaluated by the evaluation unit.

9. The evaluation device according to any one of claims 1 to 8, further comprising a second notification information generation unit that generates second notification information to notify the driver that they should refrain from driving when the decline in the latest driving suitability of the driver evaluated by the evaluation unit exceeds a second standard with respect to a standard driving suitability.

10. 10. The evaluation device according to claim 1, further comprising a server communication unit that receives the first information and the second information transmitted from the mobile object.

11. The evaluation device according to any one of claims 1 to 9, which is mountable on the moving body.

12. An evaluation method executed by an evaluation device that evaluates the driving fitness of a driver who operates a moving object, comprising: acquiring first information relating to an amount of visual information around the moving object that changes with each movement; acquiring second information relating to an operation speed or an operation amount of an operation device that operates the moving object; storing the first information and the second information as associated information when the operation speed or the operation amount exceeds a threshold; calculating a statistical value of the operation speed or the operation amount corresponding to the amount of visual information based on the related information; evaluating the driving fitness of a driver who operates the vehicle based on the relationship between the amount of visual information in the related information and the statistical value; An evaluation method that has the following features.

13. An evaluation program for causing a computer to execute an evaluation method in an evaluation device that includes a first information acquisition unit, a second information acquisition unit, a storage unit, a calculation unit, and an evaluation unit and evaluates the driving suitability of a driver who operates a mobile object, a step of acquiring first information regarding an amount of visual information around the moving object that changes with each movement, by the first information acquisition unit; a step in which the second information acquisition unit acquires second information related to an operation speed or an operation amount of an operation device that operates the moving object; the storage unit storing the first information and the second information as associated information when the operation speed or the operation amount exceeds a threshold; a step of calculating a statistical value of the operation speed or the operation amount corresponding to the amount of visual information based on the related information by the calculation unit; a step of evaluating a driving fitness of a driver who operates the moving object based on a relationship between the amount of visual information in the related information and the statistical value, by the evaluation unit; An evaluation program that causes the computer to execute the above.

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