JP2023076697A - Evaluation device - Google Patents

Abstract

To provide a terminal device which constitutes an evaluation device which can comprehensively evaluate driving adaptation of a driver on the basis of a plurality of elements of a driving behavior.SOLUTION: An evaluation device 1 comprises: 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 a visual information amount around a mobile object varying for every movement. The second information acquisition unit 12 acquires second information regarding an operation speed or an operation amount of an operation device which operates the mobile object. The storage unit 13 associates the first information with the second information when the operation speed or the operation amount exceeds a threshold and stores the first information and the second information as related information. The calculation unit 14 calculates a statistic value of the operation speed or the operation amount corresponding to the visual information amount on the basis of the related information. Then, the evaluation unit 15 evaluates driving adaptation of a driver who operates the mobile object on the basis of relation between the visual information amount and the statistic value in the related information.SELECTED DRAWING: Figure 1

Description

The present invention relates to an evaluation device.

Patent Literature 1 discloses a vehicle driving support device. In this vehicle driving support device, first, vehicle deceleration behavior data from the start of brake operation until the vehicle stops, or steering wheel operation data from the start to the end of operation of the steering wheel are learned. Next, when the brake is operated or the steering handle 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 or not the driver's driving ability has deteriorated beyond a predetermined standard.
According to the vehicle driving assistance device configured in this manner, it is possible to detect deterioration of the driver's driving operation over time and to assist the vehicle driving in accordance with the deterioration.

JP 2012-254694 A

In general, driving behavior is made up of three elements of driving adaptability: "cognition", "judgment" and "operation". In particular, the two elements of "cognition" and "judgment" tend to significantly decrease with aging.
In the vehicle driving support device described above, the degree of suitability for driving is determined based on one factor of driving behavior "operation", and deterioration of the driving operation over time is determined.

One example of the problem to be solved by the present invention 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 a plurality of elements of driving behavior. .

According to one or more aspects of the present invention, first information about the amount of visual information around a moving body that changes with each movement, second information about the operation speed or the amount of operation of an operating device that operates the moving body, and the first information at the time of acquisition of the second information are associated and transmitted to an evaluation device, and the moving object is operated based on the relationship between the visual information amount and the statistical value in the related information. The terminal device includes a communication unit that receives the driving suitability of the driver from the evaluation device, and an output unit that outputs the driving suitability.

FIG. 1 is a block configuration diagram of an evaluation system according to an embodiment of the present invention, which evaluates driving suitability. FIG. 2 is an example of the first information acquired by the first information acquisition unit of the evaluation system shown in FIG. 1, and is a diagram showing the scenery around the moving object when the amount of visual information is large. FIG. 3 is another example of the first information, and is a diagram showing the scenery around the moving object when the amount of visual information is smaller than the amount of visual information shown in FIG. FIG. 4 is a graph showing statistical values of operation speed or amount of operation with respect to the amount of visual information calculated in the evaluation system shown in FIG. FIG. 5 is a graph showing the trend of decrease in the latest driving suitability with respect to the past driving suitability of the driver, which is evaluated in the evaluation system shown in FIG. FIG. 6 is a graph showing the tendency of deterioration of the driver's athletic ability with respect to the average driving fitness of the reference driver, which is the athletic ability evaluated in the evaluation system shown in FIG. FIG. 7 shows an evaluation method and an evaluation program for obtaining the first information and the second information obtained by the second information obtaining unit in the evaluation system shown in FIG. 1 and storing them in the storage unit as related information. It is a flow chart explaining. FIG. 8 is a flowchart for explaining an evaluation method and an evaluation program for evaluating driving suitability based on related information in the evaluation system shown in FIG. FIG. 9 is a flowchart for explaining a method of 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. FIG. 10 is a flow chart explaining a method of selecting relevant information for a known travel route in the evaluation method and evaluation program in the evaluation system shown in FIG.

An evaluation apparatus according to a first embodiment of the present invention includes a first information acquisition unit that acquires first information about the amount of visual information around a moving body that changes with each movement, and an operating speed of an operating device that operates the moving body. Alternatively, a second information acquiring unit that acquires second information about the operation amount, a storage unit that associates the first information and the second information when the operation speed or the operation amount exceeds the threshold value, and stores the information as related information; A calculation unit that calculates the statistical value of the operation speed or the amount of operation corresponding to the amount of visual information based on the information, and the driver operating the moving object based on the relationship between the amount of visual information and the statistical value in the related information. and an evaluation unit that evaluates the driving suitability.

An evaluation apparatus according to a first embodiment includes a first information acquisition section, a second information acquisition section, a storage section, a calculation section, and an evaluation section.
The first information acquisition unit acquires first information about the amount of visual information around the moving body that changes with each movement. The second information acquisition unit acquires second information about the operation speed or the amount of operation of the operating device that operates the moving object. The storage unit associates the first information and the second information when the operation speed or the operation amount exceeds the threshold, and stores them as related information. The calculation unit calculates a statistical value of the operation speed or the amount of operation corresponding to the amount of visual information based on the related information.
Here, the "visual information amount" is related to the element of "cognition" of driving behavior, and the "operation start timing of the operation device according to the difference in visual information amount" is the element of "cognition" and "judgment" of driving behavior. is connected with. And "operation of the operation device" is related to the element of "operation" of the driving behavior. That is, the calculation unit calculates the statistical value of the operation speed or the amount of operation corresponding to the amount of visual information based on a plurality of elements of the driving behavior. Even if the amount of visual information that the driver sees while driving is the same, if the abilities of "cognition" and "judgment" are degraded, there will be a delay in "operation", so this statistical value is Reflects the downward trend of driving fitness.
Therefore, the evaluation unit can evaluate the driving suitability of the driver who operates the moving object based on the relationship between the amount of visual information in the related information and the statistical value. The driver's driving suitability can be comprehensively evaluated based on the following factors.

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 is configured to determine whether the movement by the driver according to the amount of visual information is based on the relationship between the amount of visual information and the statistical value. Calculates evaluation information indicating a tendency to lag in body manipulation.

According to the evaluation device according to the second embodiment, the evaluation section calculates the evaluation information. The evaluation information indicates the tendency of the driver's operation of the mobile object to be delayed according to 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 degree of driving suitability with respect to the tendency of the driver's operation of the moving object to be delayed according to the amount of visual information.

The evaluation apparatus according to the third embodiment of the present invention is the evaluation apparatus according to the first embodiment or the second embodiment, corrected so that the visual information amount of the first information increases as the moving speed of the moving body increases. A correcting unit is further provided.

The evaluation device according to the third embodiment further includes a corrector. The correction unit corrects the visual information amount of the first information to increase as the moving speed of the moving body increases. As the moving speed increases, the driver's field of vision narrows and the visual acuity also deteriorates, so even if the amount of visual information is the same, the time required for recognition increases.
Therefore, after correcting the amount of visual information according to the moving speed of the moving body, it is possible to accurately evaluate the driving suitability based on a plurality of elements of the driving behavior.

An evaluation device according to a fourth aspect of the present invention is the evaluation device according to any one of the first to third aspects, wherein the storage unit stores a history of movement of the moving object along a movement route as history information. It further comprises an information selection unit that accumulates and excludes, from related information, the first information and the second information when the moving object moves along the movement route specified as the known movement route based on the history information.

In the evaluation device according to the fourth embodiment, the storage unit accumulates the history of the movement of the moving object along the moving route as history information. The evaluation device further includes an information selection section. The information selection unit excludes, from the related information, the first information and the second information when the moving object moves along the movement route specified as the known movement route based on the history information.
For example, even if it is a route with a large amount of visual information, if the same route is traveled multiple times, the driver will become familiar with the points necessary for operating the moving object each time it moves, and the time required for recognizing these points will increase. becomes less dependent on the amount of visual information. In other words, there is a tendency for the driving adaptability of the elements of "recognition" and "judgment" of driving behavior to increase.
Therefore, by excluding the first information and the second information on the known travel route from the related information based on the history information, the accuracy of the statistical value calculation can be improved, and the can accurately evaluate driving fitness.

An evaluation apparatus according to a fifth embodiment of the present invention is the evaluation apparatus according to any one of the first to fourth embodiments, wherein the driver's past driving suitability evaluated by the evaluation unit is a first notification information generating unit for generating first notification information for notifying the driver that the latest driving fitness level has decreased when the latest decrease in the driving fitness level of the driver exceeds a first standard; I have it.

An evaluation device according to the fifth embodiment includes a first notification information generator. The first notification information generation unit determines that when the decrease in the driver's latest driving suitability exceeds a first reference with respect to the driver's past driving suitability evaluated by the evaluation unit, the driving suitability decreases. First notification information is generated for notifying the driver that the vehicle is on the road.
If the driver is notified of the first notification information, it is possible to make the driver aware that the latest driving suitability is lower than the past driving suitability.

The evaluation device according to the sixth embodiment of the present invention is the evaluation device according to any one of the first to fifth embodiments, the driver evaluated by the evaluation unit for the reference driving suitability and a second notification information generating unit that generates second notification information for notifying the driver that he or she should refrain from driving when the latest decrease in driving fitness level exceeds a second reference.

An evaluation device according to the sixth embodiment includes a second notification information generator. The second notification information generation unit notifies the driver that he or she should refrain from driving when the latest decline in the driver's latest driving fitness evaluated by the evaluation unit exceeds the second criterion with respect to the reference driving fitness. to generate the second notification information to be notified to.
If the driver is notified of the second notification information, the driver can be made to recognize that the driver should refrain from driving because the latest driving suitability is lower than the reference driving suitability. .

An evaluation apparatus according to a seventh embodiment of the present invention is the evaluation apparatus according to any one of the first to sixth embodiments, and is a server that receives the first information and the second information transmitted from the mobile object. A communication unit is further provided.

The evaluation device according to the seventh embodiment further includes a server communication section. The server communication unit receives first information and second information transmitted from the mobile unit. 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 construct a server.
Therefore, the server can accurately evaluate the driving suitability based on a plurality of elements of the driving behavior.

An evaluation apparatus according to an eighth embodiment of the present invention is the evaluation apparatus according to any one of the first to sixth embodiments, and can be mounted on a moving object.

The evaluation device according to the eighth embodiment can be mounted on a moving object. For example, the evaluation device can be mounted on a moving object as an in-vehicle terminal.
Therefore, it is possible to accurately evaluate the driving suitability of the mobile object based on a plurality of elements of the driving behavior.

An evaluation method according to a ninth embodiment of the present invention is an evaluation method executed by an evaluation device for evaluating the driving suitability of a driver who operates a mobile object, and includes visual information around the mobile object that changes with each movement. a step of acquiring first information about an amount; a step of obtaining second information about an operation speed or an operation amount of an operating device that operates a moving body; A step of associating the second information and storing it as related information; a step of calculating a statistic value of an operation speed or an operation amount corresponding to the amount of visual information based on the related information; and a step of visual information amount and the statistic value in the related information. and a step of evaluating the driving suitability of the driver who operates the moving body based on the relationship between.

In the evaluation method according to the ninth embodiment, first information about the amount of visual information around the moving body that changes with each movement, and second information about the operation speed or the amount of operation of the operating device that operates the moving body are acquired. be done. Next, the first information and the second information when the operation speed or the operation amount exceeds the threshold are associated and stored as related information. Next, based on the related information, a statistical value of the operation speed or the amount of operation is calculated with respect to the amount of visual information.
Here, the "visual information amount" is related to the element of "cognition" of driving behavior, and the "operation start timing of the operation device according to the difference in visual information amount" is the element of "cognition" and "judgment" of driving behavior. is connected with. And "operation of the operation device" is related to the element of "operation" of the driving behavior. In other words, the statistical value of the operation speed or the amount of operation with respect to the amount of visual information is calculated based on a plurality of elements of motor behavior.
Then, based on the relationship between the amount of visual information in the related information and the statistical value, it is possible to evaluate the driving suitability of the driver who operates the moving object. , the driver's driving suitability can be evaluated comprehensively.

An evaluation program according to a tenth embodiment of the present invention 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. An evaluation program for causing a computer to execute an evaluation method in an evaluation device, wherein a first information acquisition unit acquires first information about the amount of visual information around a moving object that changes with each movement; an information acquisition unit acquiring second information relating to an operation speed or an operation amount of an operation device for operating a moving object; and a storage unit acquiring the first information and the second information when the operation speed or the operation amount exceeds a threshold A step of associating information and storing it as related information; a step of calculating a statistical value of an operation speed or an amount of operation corresponding to the amount of visual information by a calculation unit based on the related information; and a step of evaluating the driving fitness of the driver who operates the mobile object based on the relationship between the amount of visual information and the statistical value.

An evaluation program according to a tenth embodiment includes a first information acquisition unit, a second information acquisition unit, a storage unit, a calculation unit, and an evaluation unit, and is an evaluation device that evaluates the driving suitability of a driver operating a moving body. An evaluation program for causing a computer to execute an evaluation method. In this evaluation program, first, the first information acquisition unit acquires first information about the amount of visual information around the moving object that changes with each movement, and the second information acquisition unit operates the operating device for operating the moving object. Acquire second information about the manipulated variable. Next, the storage unit associates the first information and the second information when the operation speed or the operation amount exceeds the threshold, and stores them as related information. Next, the calculation unit calculates the statistical value of the operation speed or the amount of operation corresponding to the amount of visual information based on the related information.
Here, the "visual information amount" is related to the element of "cognition" of driving behavior, and the "operation start timing of the operation device according to the difference in visual information amount" is the element of "cognition" and "judgment" of driving behavior. is connected with. And "operation of the operation device" is related to the element of "operation" of the driving behavior. In other words, the statistical value of the operation speed or the amount of operation with respect to the amount of visual information is calculated based on a plurality of elements of motor behavior.
Then, 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. Therefore, the evaluation program can cause the computer to execute an evaluation method for comprehensively evaluating the driving suitability of the driver based on a plurality of elements of the driving behavior.

An evaluation apparatus, an evaluation method, and an evaluation program according to an embodiment will be described below with reference to FIGS. 1 to 10. FIG.

(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. FIG. The evaluation system 10 has a server 2 and a plurality of terminals 3 as main components. Here, a server 2 is constructed including the evaluation device 1 .

In this embodiment, the evaluation system 10 constructs a communication navigation system. Therefore, the server 2 transmits various types of information required for navigation, such as map information, to the plurality of terminals 3 and acquires various types of information from the plurality of terminals 3 .
The terminal 3 is configured as an in-vehicle terminal or a client terminal mounted on a moving object (not shown), and has a navigation function. A vehicle, more specifically an automobile, for example, is used here as a mobile object. It should be noted that the mobile body is not limited to automobiles, and includes vehicles such as two-wheeled vehicles, trucks, buses, trains, and bicycles, ships, and aircraft.
The main constituent elements will be described in detail below.

(Configuration of terminal 3)
(1) Overall Configuration of Terminal 3 As shown in FIG. It includes a vehicle speed acquisition section 36 , a self position detection section 37 , a steering angle detection section 38 and an acceleration detection section 39 . Each component such as the terminal control unit 30 is connected to each other via a common bus wiring whose reference numeral is omitted.

(2) Configuration of Terminal Communication Unit 31 The terminal communication unit 31 connects with the server 2 by communication via the network.

(3) Configuration of 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 images. The display unit 32 is attached to or built into the instrument panel of the automobile, and the image displayed on the display unit 32 can be visually recognized by the driver who operates the automobile or by a fellow passenger in the automobile. Also, the display unit 32 may be a projector that constructs a head-up display. Furthermore, in the present embodiment, the display unit 32 serves as a notification unit that notifies the driver of the driving suitability evaluation result (first notification information or second notification information) generated using the evaluation device 1 by displaying an image. is also used.

(4) Configuration of Operation Input Unit 33 The operation input unit 33 includes, for example, a touch panel arranged over the liquid crystal display panel of the display unit 32 . The operation input unit 33 can perform various operations, such as setting a route for a destination of the navigation function.

(5) Configuration of Audio Output Unit 34 The audio output unit 34 includes a speaker. The voice output unit 34 can output route guidance information and the like of the navigation function as voice. Further, similarly to the display unit 32, the voice output unit 34 notifies the driver of the driving suitability evaluation result (first notification information or second notification information) generated using the evaluation device 1 by voice output. Also used as a notification unit.

(6) Configuration of External Sensor Unit 35 The external sensor unit 35 includes at least an imaging device mounted on the vehicle. The imaging device includes, for example, a two-dimensional image sensor. As a 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 (LIDAR: Light Detection and Ranging or Laser Imaging Detection and Ranging) or a sonar (SONAR: Sound Navigation And Ranging).

The external sensor unit 35 can photograph the surrounding scenery of the automobile, which changes each time the automobile moves, as imaging information (image information). In the case of the external sensor unit 35 mounted on the front side of the vehicle, the scenery around the automobile corresponds to the scenery in front that can be visually recognized by the driver. This is the captured image information.
Further, in the case of the external sensor unit 35 mounted on the rear side of the automobile for photographing the rear, it is image information captured using the external sensor unit 35, which corresponds to the rear scenery visible to the driver. . Similarly, in the case of the external sensor unit 35 mounted on the lateral side of the automobile for photographing the side, the external sensor unit 35, which corresponds to the scenery of the side visible to the driver, is used to photograph the side. This is imaging information. In the case of the external sensor unit 35 capable of photographing the entire surroundings of the automobile in the horizontal direction, it is image information obtained by using the external sensor unit 35, which corresponds to the scenery of the entire surroundings that can be visually recognized by the driver. .

Image information captured as landscape includes road forms, traffic signs, vehicles such as automobiles as other vehicles, pedestrians, signboards, standing trees, buildings, mountains, the sea, etc. contains visual information to Visual information changes for each imaging information captured at a predetermined frame rate. In other words, the visual information changes each time the car moves (or each scene is captured) when the car is moving. Here, for example, 30 FPS (Frames Per Second) or 27.5 FPS is used as the predetermined frame rate.

FIG. 2 shows an example of the front scenery photographed using the external sensor unit 35 mounted on the front side of the automobile. The scenery shown in FIG. 2 is the scenery of a road in the vicinity of a downtown downtown area at night. is Therefore, the landscape has a high degree of complexity and a large amount of visual information. In the present embodiment, the first information is an index indicating the amount of visual information around the automobile (moving body) based on the imaging information. In the case of the scenery shown in FIG. 2, the first information indicates a relatively large amount of visual information.
Here, the "complexity" is the visual complexity of the landscape obtained by analyzing at least one of the numerical elements related to the object such as the traffic sign S included in the image information and the visual elements of the scenery itself in the image information. is obtained as The “numerical elements” include the distance from the automobile (own vehicle) to the object, the number of objects included in the imaging information, and the like. ``Visual elements of the landscape itself'' are monotonous degrees that express visual effects that are visually generated by, for example, the area of buildings occupying the landscape, color schemes, and variations in color, and are elements related to the sense of openness that the driver perceives. contains.
Incidentally, Japanese Patent Application Laid-Open No. 2009-230506 discloses a specific analysis example and analysis method of the "complexity". Also, the "complexity" can be calculated from the two-dimensional frequency of the scenery using an existing Discrete Cosine Transform (DCT) method, as disclosed in Japanese Patent No. 6214798.

On the other hand, FIG. 3 similarly shows the scenery in front photographed using the external sensor unit 35 mounted in front of the automobile. The scenery shown in FIG. 3 is the scenery of a road in the suburbs in the daytime, and the photographed imaging information contains fewer objects than the scenery shown in FIG. Therefore, the landscape has a low complexity and a small amount of visual information. In this example, for the scenery shown in FIG. 3, the first information indicates a relatively small amount of visual information.

(7) Configuration of Vehicle Speed Acquisition Unit 36 Returning to FIG. 1, the vehicle speed acquisition unit 36 acquires the vehicle speed of the automobile (moving speed of the moving object). The vehicle speed is transmitted from the vehicle speed sensor or ECU (Electrical Control Unit or Engine Control Unit) of the vehicle to the vehicle speed acquisition unit 36 using CAN (Controller Area Network) communication. Furthermore, the vehicle speed may be acquired by the vehicle speed acquisition unit 36 based on positioning information by GNSS (Global Navigation Satellite System).

(8) Configuration of Self-Position Detector 37 Self-position detector 37 detects the self-position of the automobile. The self-location is detected based on the positioning information by GNSS described above. Also, the self-location may be detected by a known method other than based on positioning information by GNSS.

(9) Configuration of Steering Angle Detecting Unit 38 The steering angle detecting unit 38 includes a gyro sensor. From the angular velocity information of the automobile acquired by the gyro sensor and the vehicle speed acquired by the vehicle speed acquiring unit 36, the vehicle It is possible to calculate the steering angle and the steering speed of the steering for controlling the running direction of the vehicle. A steering is one of the operating devices for operating an automobile. In this embodiment, the steering speed of the steering is used as the second information regarding the operating speed of the operating device for operating the vehicle.
Note that the steering angle detection unit 38 may acquire the angular velocity or the steering angle of the steering wheel from the ECU, for example, through CAN communication.

(10) Configuration of Acceleration Detection Section 39 The acceleration detection section 39 includes an acceleration sensor and detects acceleration information of the vehicle. Here, in particular, the deceleration due to the brake system that regulates the vehicle speed of the motor vehicle is calculated. A braking system is another operating device for operating a vehicle, and the deceleration of the vehicle is related to the amount of operation of the braking system. In this embodiment, this acceleration information is the second information regarding the operation amount of the operating device for operating the vehicle.

(11) Configuration of 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 such as the terminal communication unit 31 of the terminal 3. preside over
The terminal control unit 30 generates first information about the amount of visual information around the vehicle that changes with each movement, based on the imaging information captured using the external sensor unit 35 .
In addition, the terminal control unit 30 generates second information regarding the operation amount of the operating device based on the acceleration information acquired using the acceleration detection unit 39 . The operation device here is the braking device, and the deceleration information is acquired as the acceleration information, so the second information is information regarding the amount of operation of the braking device.
Further, the terminal control unit 30 generates second information regarding the operation speed of the operating device based on the steering angle information acquired using the steering angle detection unit 38 . The operating device here is a steering device, and the second information is information about the operating speed of the steering device.

The first information and second information generated by the terminal control section 30 are constantly transmitted to the server 2 using the terminal communication section 31 . Identification (ID) information for identifying the terminal 3 is added when transmitting the first information and the second information.

(Configuration of evaluation device 1 and server 2)
As shown in FIG. 1, the server 2 includes a server control unit 20, a server communication unit 21, a map database 22, and a storage device 23. Evaluation is performed using the components of the server control unit 20 and the server communication unit 21. A device 1 is constructed. That is, the evaluation device 1 includes a server control unit 20, a 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, and a first notification information generation unit 18. and a second notification information generator 19 .
Furthermore, in this embodiment, the evaluation device 1 includes a correction section 16 and an information selection section 17 .
Each component such as the server control unit 20 of the server 2 and each component such as the first information acquisition unit 11 of the evaluation device 1 are connected to each other via a common bus wire whose reference numeral is omitted.

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

(2) Configuration of map database 22 The map database 22 stores map information mainly used in the communication navigation system.

(3) Configuration of storage device 23 The storage device 23 includes a ROM (Read Only Memory), a RAM (Random Access Memory), and an HD (Hard Disk). The ROM stores, for example, programs executed by the server control unit 20 . Processing information processed by the server control unit 20 is temporarily stored in the RAM. The HD is constructed as a large-capacity storage, and stores, for example, processing information, various information transmitted from the terminal 3, and the like.

(4) Configuration of Server Control Unit 20 The server control unit 20, like the terminal control unit 30, includes a central processing unit (CPU) and a storage unit. The server control unit 20 controls the operation of each component such as the server communication unit 21 of the server 2 and further controls the operation of each component of the evaluation device 1 .
Further, the central processing unit and storage unit of the server control section 20 constitute a computer that executes the evaluation program according to this embodiment. This evaluation program and the evaluation method achieved by executing the evaluation program will be described later.

(5) Configuration of First Information Acquisition Unit 11 and Second Information Acquisition Unit 12 obtain first information about the amount of visual information that
Similarly, the second information acquisition unit 12 acquires second information regarding the operation speed or the amount of operation transmitted from the terminal communication unit 31 via the server communication unit 21 .

(6) Configuration of storage unit 13 The storage unit 13 is constructed including RAM or HD. When the operation speed or the amount of operation of the second information acquired by the second information acquisition unit 12 exceeds a preset threshold value, the storage unit 13 stores information acquired by the first information acquisition unit 11 on the second information. The first information related to the amount of visual information obtained is associated and stored as related information.
Specifically, when information about the amount of brake operation when the driver applies the brake in the brake device exceeds a threshold value, that is, when the driver performs a sudden brake operation exceeding a preset standard. , the storage unit 13 stores related information in which the first information regarding the amount of visual information is associated with the second information regarding the amount of operation of the brake device. Further, when the information regarding the steering speed of the steering when the driver turns the steering wheel in the steering device exceeds a threshold value, that is, when the driver performs a sudden steering operation exceeding a preset standard, the steering device The storage unit 13 stores related information in which the first information regarding the amount of visual information is associated with the second information regarding the operation speed of .
The related information includes date and time information when the related information is acquired, and is stored in the storage unit 13 for each identification information of the terminal 3 .

(5) Configuration of Calculation Unit 14 The calculation unit 14 calculates the visual information based on the related information acquired and stored in the latest readout period stored in the storage unit 13 for each predetermined readout timing set in advance. A statistical value of the operation speed or the amount of operation corresponding to the amount is calculated. Here, the "predetermined readout timing" is set, for example, every six months or every year. Also, the "latest reading period" is set to, for example, the latest six months or one year.
A statistical value is calculated using a statistical method such as a correlation analysis method or a regression analysis method, and is calculated as an amount indicating a tendency of change in operation speed or amount of operation with respect to change in amount of visual information. Here, for example, when a car is turning right at an intersection and a pedestrian is crossing the road ahead of the right turn, the driver of the car must operate the steering and brakes to avoid approaching the pedestrian. Become. At this time, if the driver can recognize the pedestrian early, he or she can operate the brakes and steering with time to avoid approaching the pedestrian. Steering and braking must be performed with a large operating speed or large operating amount. In other words, even in an environment where the same amount of visual information exists, it can be said that a driver with lower cognitive ability and judgment ability tends to increase the operation speed or amount of operation in an emergency. Therefore, the statistical value of the operation speed or the amount of operation corresponding to the amount of visual information calculated here indicates the tendency of delay in the driver's driving behavior for each difference in the amount of visual information in the driving environment of the automobile.
FIG. 4 shows an example of a graph of statistical values. The horizontal axis is the amount of visual information, and the vertical axis is the operation speed or amount of operation. As shown in FIG. 4, as the amount of visual information increases, the operation speed or operation amount tends to increase due to delays in recognition and judgment, and the statistical values show the tendency of delays in driving behavior.

(6) Structure of Evaluation Unit 15 Returning to FIG. Evaluate driving fitness. Here, two types of evaluation methods are implemented as evaluation methods of driving suitability. The first evaluation method is a method of comparing the past tendency of delay in driving behavior with the latest (current) tendency of delay in driving behavior for the same driver, and evaluating the degree of driving suitability. Here, "the same driver" is used in the sense that the identification information transmitted from the terminal 3 is the same, for example. The second evaluation method is a method of comparing the trend of delay in the reference driving behavior with the latest trend of delay in driving behavior of the driver to evaluate the degree of driving suitability.

Specifically, in the first evaluation method, the latest tendency of delay in driving behavior is compared with the tendency of delay in driving behavior in the past one year or two years ago, for example. FIG. 5 shows an example of a graph showing the tendency of delay in driving behavior created based on the first evaluation method. Similar to the horizontal and vertical axes shown in FIG. 4, in FIG. 5, the horizontal axis is the amount of visual information, and the vertical axis is the operation speed or the amount of operation.
As shown in FIG. 5, when the latest tendency of driving action delay is compared with the past tendency of driving action delay, the tendency of driving action delay is degraded. The hatched difference is the amount of deterioration.

On the other hand, in the second evaluation method, the trend of delay in the reference driving behavior is compared to the latest trend of delay in driving behavior. Here, the “reference tendency of delay in driving behavior” is, for example, the average tendency of delay in driving behavior of a plurality of general drivers. FIG. 6 shows an example of a graph showing 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, in FIG. 6, the horizontal axis is the amount of visual information, and the vertical axis is the operation speed or the amount of operation.
As shown in FIG. 6, when comparing the latest driving behavior delay trend with the reference driving behavior delay trend, the driving behavior delay trend is degraded. The hatched difference is the amount of deterioration.

(7) Configuration of Correction Unit 16 Returning to FIG. sent. Based on this vehicle speed information, the correction unit 16 performs correction to increase the amount of visual information of the first information as the moving speed of the moving object increases, that is, as the vehicle speed increases. The correction unit 16 may include a table in which correction amounts for visual information amount are stored for each vehicle speed, or may be configured as a calculation unit for calculating correction amounts for visual information amount for vehicle speed. good.
In general, as the vehicle speed increases, the driver's visual range tends to become narrower and the visual acuity tends to deteriorate. Therefore, even if the amount of visual information is the same, when the vehicle speed increases, the time required to perceive the visual information increases compared to when the vehicle speed does not increase. The correction unit 16 adjusts the change in the time required to perceive visual information due to such changes in vehicle speed, and accurately determines the degree of driving suitability that includes elements of "recognition" and "judgment" of the driver's driving behavior. considered to be evaluable.

(8) Configuration of Information Selection Unit 17 In the storage unit 13 described above, in addition to storing related information, the history of movement of the moving object along the movement route, that is, the history of the travel route of the vehicle, is accumulated as movement history information. . Based on the movement history information accumulated in the storage unit 13, the information selection unit 17 excludes the first information and the second information when the vehicle travels the travel route specified as the known travel route from the related information. (selected) and not stored in the storage unit 13.
In general, even at points on a driving route with a large amount of visual information, if it is a known driving route that is commonly used, the driver is familiar with the points (visual information) to be checked, so visual information The amount of visual information does not affect the amount of time required for recognition. In other words, there is a tendency for the driving adaptability, which includes elements of "recognition" and "judgment" of the driver's driving behavior, to be highly evaluated. For this reason, the information selection unit 17 excludes the related information acquired on the specified travel route from the evaluation target of the driving suitability, so that the driving suitability can be accurately evaluated.

(9) Configuration of first notification information generation unit 18 In the first notification information generation unit 18, the latest When the decrease in the degree of driving suitability exceeds a preset first reference, the first notification information is generated.
The first notification information is generated as information for notifying the driver that the driving suitability is declining. An example of the first notification information is voice information or text (message) information stating, "Your current level of fitness for driving has decreased by 10% compared to one year ago. Let's try to drive safely." . Another example of the first notification information is image information including the graph shown in FIG. 5, and information including two or more of the above audio information and character 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 transmitted as audio from the audio output unit 34 or as text information from the display unit 32. Alternatively, it is output as image information.

(10) Configuration of the second notification information generation unit 19 In the second notification information generation unit 19, the latest driving fitness of the driver with respect to the reference driving fitness evaluated by the evaluation unit 15 using the second evaluation method When the decrease in strength exceeds a preset second criterion, a second annunciation is generated. The second standard is set as a standard for appropriately performing the driving operation of the automobile.
The second notification information is generated as information for notifying the driver that he or she should refrain from driving. As the second notification information, at least voice information, character information, and image information stating "Your current driving aptitude does not meet the aptitude standard. Please refrain from driving or consider returning your driver's license." One is given as an example. As image information, information including the graph shown in FIG. 6 is given as an example.
The second notification information generated by the second notification information generating section 19 is transmitted from the server 2 to the terminal 3 and output as voice from the audio output section 34 or as text information or image information from the display section 32 .

(Evaluation method and structure of evaluation program)
An evaluation method using the evaluation apparatus 1 shown in FIG. 1 and an evaluation program for causing a computer to execute this evaluation method will be described with reference to FIGS. 7 and 8. FIG. Each step (each component) of the evaluation method is the same or substantially the same as each step (each component) of the evaluation program. Therefore, the evaluation method will be described below, and the description of the evaluation program will be omitted since it is redundant.

(1) Evaluation Method in Terminal 3 In the terminal 3 of the evaluation system 10, processing of the evaluation method is started. As shown in FIG. 7, in the terminal 3, the external sensor unit 35 is used to acquire first information about the amount of visual information around the vehicle that changes each time the vehicle travels (step S1). Subsequently, the self-location information of the vehicle is acquired using the self-location detection unit 37 (step S2). Subsequently, the vehicle speed acquisition unit 36, the acceleration detection unit 39, or the steering angle detection unit 38 is used to acquire second information regarding the operation speed or the amount of operation of the operating device of the vehicle (step S3). The operation speed or operation amount of the operating device is here the steering speed due to the operation of the steering device or the deceleration due to the operation of the braking device.
Here, the order of steps S1 to S3 is not particularly limited, and the processing order may be reversed.

Various types of information such as the first information, the position information, the second information, and the speed information acquired by the terminal 3 are transmitted to the server 2 via the terminal communication section 31 and the server communication section 21 (step S4). Identification information of the terminal 3 is added to various information to be transmitted.

Next, it is determined whether or not the processing should be continued at the terminal 3 (step S5). When it is determined to continue the process, the process proceeds to step S1. When it is determined not to continue the processing, the evaluation method processing in the terminal 3 ends.

(2) Evaluation method in evaluation device 1 of server 2 (method for storing and processing various information)
In the evaluation device 1 constructing the server 2 of the evaluation system 10, a method of 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 the first information regarding the amount of visual information received by the server communication unit 21 (step S11). Similarly, the second information acquisition unit 12 acquires the second information regarding the operation speed or the amount of operation received by the server communication unit 21 .

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

Next, it is determined whether or not the processing is to be continued in the evaluation device 1 (step S14). When it is determined to continue the process, the process proceeds to step S11. When it is determined not to continue the processing, the processing of the evaluation method in the evaluation device 1 ends.

(3) Evaluation method in evaluation device 1 (driving suitability evaluation processing method)
In the evaluation device 1, the driving suitability evaluation processing method is started. 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, the statistical value of the operation speed or the amount of operation corresponding to the amount of visual information is calculated (step S22). The statistical values are calculated using the calculator 14 (see FIGS. 1 and 4).

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 or not the deterioration amount of the driving suitability exceeds the second reference (step S25).

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

On the other hand, if it is determined in step S25 that the second criterion is not exceeded, the driver's past related information 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). A statistical value of the operation speed or the amount of operation corresponding to the amount of visual information is calculated based on the acquired related information (step S27). The statistical values are calculated using the calculator 14 (see FIGS. 1 and 4).

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 amount of deterioration (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 or not the deterioration amount of the driving suitability exceeds the first reference (step S30).

When it is determined that the first reference is exceeded, the first notification information generating unit 18 generates the first notification information as a message to the effect that the driving suitability has decreased (step S33). The first notification information is transmitted to the terminal 3 via the server communication section 21 and the terminal communication section 31 (step S34). After this, the evaluation method ends.
In the terminal 3, the first notification information is output from the audio output section 34 as audio information, or from the display section 32 as text information or image information.

On the other hand, if it is determined in step S30 that the first criterion is not exceeded, a message indicating that there is no message or that there is no decrease in driving suitability is generated as notification information (step S31). This notification information is transmitted to the terminal 3 via the server communication section 21 and the terminal communication section 31 (step S34). After this, the evaluation method ends.
In the terminal 3, when notification information is generated, the notification information is output from the audio output section 34 as audio information, or from the display section 32 as character information or image information.

(4) Correction Processing Method in Evaluation Method In the evaluation method according to the present embodiment, correction processing may be added between steps S11 and S12 of the evaluation method shown in FIG.
In the correction process, when various types of information are acquired from the terminal 3 in step S11 shown in FIG. is acquired (step S41). Subsequently, the correction unit 16 acquires speed information (step S42). The speed information is information about the vehicle speed of the automobile.

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, the first information is generated (corrected) based on the corrected amount of visual information (step S44). The first information is stored in the storage unit 13 as related information in association with the second information when the operation speed or the amount of operation of the second information exceeds the threshold in step S12 (step S12 in FIG. 7). S13 reference).
When the first information is generated in step S44, the correction process ends.

(5) Information Selection Method in Evaluation Method In the evaluation method according to the present embodiment, information selection processing may be added between step S12 and step S13 of the evaluation method shown in FIG.
In the information selection process, when various types of information are 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 position information of the vehicle (step S51). . Further, the information selection unit 17 accumulates movement history information, which is a history of the movement of the vehicle along the movement route, based on the acquired position information of the vehicle and the map information of the map database 22 (step S52). Note that the movement history information may be stored in the storage unit 13 .

Based on the accumulated movement history information, the information selection unit 17 determines whether or not the latest movement route of the automobile is a known movement route (step S53). If there is movement history information indicating that the same movement route has been moved a plurality of times, for example, five times or more, the movement route is determined to be a known one. In this case, the related information scheduled 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 filtering method ends.
On the other hand, if it is determined that the route is not a known travel route, the process proceeds to step S13 shown in FIG. After this, the information filtering method ends.

As described above, the evaluation apparatus 1 according to the present 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, as shown in FIG. and
The first information acquisition unit 11 acquires first information about the amount of visual information around the automobile (moving body) that changes each time the vehicle moves. The second information acquisition unit 12 acquires second information about the operation speed or the amount of operation of the operating device that operates the automobile. The storage unit 13 associates the first information and the second information when the operation speed or the operation amount exceeds the threshold, and stores them as related information. The calculation unit 14 calculates the statistical value of the operation speed or the amount of operation corresponding to the amount of visual information based on the related information (see FIG. 4).
Here, the "visual information amount" is related to the element of "cognition" of driving behavior, and the "operation start timing of the operation device according to the difference in visual information amount" is the element of "cognition" and "judgment" of driving behavior. is connected with. And "operation of the operation device" is related to the element of "operation" of the driving behavior. That is, the calculation unit 14 calculates the statistical value of the operation speed or the amount of operation corresponding to the amount of visual information based on a plurality of elements of the driving behavior. Even if the amount of visual information that the driver sees while driving is the same, if the abilities of "cognition" and "judgment" are degraded, there will be a delay in "operation", so this statistical value is Reflects the downward trend of driving fitness.
For this reason, the evaluation unit 15 can evaluate the degree of driving suitability of the driver operating the automobile based on the relationship between the amount of visual information in the related information and the statistical value. The driver's driving suitability can be comprehensively evaluated based on a plurality of elements of .

(Other examples)
(1) First Embodiment The evaluation device 1 shown in FIG. 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 storage unit 13 , a calculation unit 14 and an evaluation unit 15 .
In addition, the evaluation device 1 may include at least one component of the correction unit 16 , the information selection unit 17 , the first notification information generation unit 18 , and the second notification information generation unit 19 .
Since the terminal 3 is constructed in the evaluation device 1 configured in this way, it can be mounted on a vehicle. Therefore, in the automobile (terminal 3), it is possible to accurately evaluate the driving suitability based on a plurality of elements of the driving behavior.

(2) Second Embodiment In the terminal 3 shown in FIG. 1, the second information regarding the operation speed or the operation amount is acquired. Various types of information such as the first information and the second information regarding the amount may be configured to be transmitted from the terminal 3 to the server 2 . The terminal control unit 30 of the terminal 3 determines whether the operation speed or the amount of operation exceeds the threshold.
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.

(3) Third Embodiment The amount of visual information is stored in the map database 22 of the server 2, and the first information about the amount of visual information corresponding to the position information is evaluated from the map database 22 based on the self-location information of the terminal 3. It may be acquired to the device 1 .
More specifically, the map database 22 stores the amount of visual information of the scenery viewed from a plurality of different positions on the road included in the map database 22 for each travel direction of the road. The amount of visual information of scenery viewed from a plurality of positions on the road is calculated based on image information captured by probe cars, for example. Also, this amount of visual information may be calculated by statistically processing the amounts of visual information transmitted from the terminals 3 mounted on a plurality of different automobiles. Based on the self-location information and the traveling direction information of the vehicle acquired by the terminal 3, the evaluation device 1 stores the amount of visual information stored in association with the corresponding moving direction at the corresponding position on the road in the map database. 22. In this case, the acquisition processing of the first information regarding the amount of visual information in the terminal 3 can be eliminated.

It should be noted that the present invention is not limited to the above embodiments, and can be modified in various ways without departing from the scope of the invention.

1 evaluation device 10 evaluation system 11 first information acquisition unit 12 second information acquisition unit 13 storage unit 14 calculation unit 15 evaluation unit 16 correction unit 17 information selection unit 18 first notification information generation unit 19 second notification information generation unit 2 server 20 server control unit 21 server communication unit 22 map database 23 storage device 3 terminal 30 terminal control unit 31 terminal communication unit 32 display unit 33 operation input unit 34 voice output unit 35 external sensor unit 36 vehicle speed acquisition unit 37 self position detection unit 38 steering Angle detector 39 Acceleration detector

Claims (1)

a detection unit that detects first information about the amount of visual information around a moving body that changes with each movement, and second information about the operation speed or the amount of operation of an operating device that operates the moving body;
The first information at the time of acquisition of the second information is associated and transmitted to an evaluation device, and the driving suitability of the driver who operates the moving object is calculated based on the relationship between the visual information amount and the statistical value in the related information. a communication unit that receives from the evaluation device;
an output unit that outputs the driving fitness;
terminal equipment.

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