JP2024012348A - Driving technique evaluation system, driving aptitude diagnostic system, and driving aptitude diagnostic system method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a driving aptitude diagnostic system which is a driving technique evaluation system and visualizes a driving aptitude ability and a function recovery state or the like with respect to an aged person and a disabled person or the like.

SOLUTION: A driving aptitude diagnostic system includes: a vehicle behavior acquisition section for acquiring a behavior of a vehicle; a vehicle operation amount acquisition section for acquiring an operation amount with respect to a vehicle of a subject; a driving technique evaluation section for evaluating a driving technique of the subject based on the vehicle behavior and the operation amount; a health trouble determination section for determining whether or not the subject has trouble in a health state based on a driving technique evaluation result; an output section for outputting a determination result; and a health management data generation section for generating health management data related to the health state of the subject based on the determination result in the health trouble determination section. The health management data generation section proposes a menu of rehabilitation to urge improvement of the trouble in the health state of the subject based on the driving technique evaluation result. After the health management data is generated and also after the subject undergoes the rehabilitation, the driving technique is evaluated based on the newly acquired vehicle behavior and operation amount.

SELECTED DRAWING: Figure 2

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention provides a driving skill evaluation system and a driving aptitude diagnosis system, in particular, a function for recording driving conditions of a vehicle in a driving school or on the road, and actions including driving operations of a test subject, and analyzing and evaluating the driving skill. and aptitude and physical health (health) related to safe driving for elderly people and people with disabilities.
In order to assess the status of functional recovery/improvement, etc., record driving conditions, including information from equipment measurements attached to the subject, and analyze and diagnose their driving aptitude and physical functional recovery/improvement status. Concerning the structure, means, and methods of the functions.

As a device and a driving support system for evaluating a driver's driving skill, for example, Patent Document 1 discloses a driving model in which a desired driving skill is modeled, specific operation data extracted based on the driver's operation, and the state of the vehicle. A device and a driving support system thereof have been proposed that evaluate a driver's driving skills based on a difference calculated by comparing amounts.

On the other hand, the driving support system of Patent Document 1 is based on the premise that the driver to be evaluated operates the vehicle on a public road. If you have received the same test, it is assumed that it is difficult to operate the vehicle on public roads and evaluate your driving skills.

As a measure against this, Patent Document 2 discloses that in a training course provided at a driving school, an instructor and a test subject who operates a vehicle ride together, and the driving skill is evaluated based on the test subject's operation. A system to support equipment and driving operations has been proposed.

Patent No. 5867524 Patent No. 6086515

By the way, for example, in the driving skill evaluation device of Patent Document 2, when it is diagnosed that the subject's physical aptitude and driving skill related to safe driving have decreased due to aging, illness, etc. Since there is a possibility of erroneous operation of the vehicle, it is desired that the subject's driving ability, including physical functions, be improved and recovered.

The present invention has been made in view of the above circumstances, and is intended to be used when a subject is diagnosed with a decline in physical function, motor ability, skill, etc. related to driving due to aging, illness, etc. It is an object of the present invention to provide a driving aptitude diagnosis system capable of improving a test subject's driving aptitude and physical function recovery state.

In order to achieve the above-mentioned problems, the driving skill evaluation system according to the present invention is a driving skill evaluation system that generates driving skill evaluation data by evaluating the driving skill of a test subject who operates a vehicle traveling on a driving school training course. The system includes a poor health determination section that determines whether or not the health condition of the subject is poor based on the driving skill evaluation data, and a poor health determination section that determines whether or not the subject's health condition is poor based on the driving skill evaluation data, and a A health management data generation unit that generates health management data.

Furthermore, the health management data generating section of this driving skill evaluation system is characterized in that it generates health management data when the poor health determining section determines that the subject's health condition is poor.

Furthermore, the health management data of this driving skill evaluation system is characterized in that a rehabilitation menu that promotes improvement of the subject's poor health condition is recorded.

According to this driving skill evaluation system, based on the driving skill evaluation data generated from daily activities such as operating a vehicle, the poor health determination unit easily determines whether or not the subject's health condition is poor. can be determined.

When it is determined that the health condition of the subject is poor, the health management data generation unit generates health management data regarding the health condition of the subject based on the determination result.

This health management data records rehabilitation menus that help improve the subject's poor health condition. Improvement of poor condition is encouraged.

On the other hand, the poor health determination unit of this driving skill evaluation system determines whether or not the test subject has a poor health condition based on newly generated driving skill evaluation data after the health management data is generated. , the health management data generation unit generates health management data based on the determination result of the poor health determination unit that determines whether or not the subject's health condition is poor based on the newly generated driving skill evaluation data. It is characterized by correcting the data and generating corrected health management data.

According to this, when new driving skill evaluation data is generated after health management data is generated, the poor health determination unit determines whether the subject's health condition is poor based on the new driving skill evaluation data. Determine whether it exists or not.

Therefore, it is possible to easily and appropriately determine whether or not the person's recent health condition is poor, based on the most recent daily activity of operating a vehicle.

Moreover, since the health management data generation unit modifies the health management data and generates modified health management data based on this determination result, it is possible to generate appropriate modified health management data based on the most recent health condition. can.

A program according to the present invention for achieving the above-mentioned problems is stored in a driving skill evaluation system that evaluates the driving skill of a test subject who operates a vehicle running on a driving school training course and generates driving skill evaluation data. This is a driving life extension program that includes a poor health determination section that determines whether or not the subject's health condition is poor based on driving skill evaluation data, and a poor health determination section that determines whether or not the subject has a poor health condition based on the results of the poor health determination section. A health management data generation unit that generates health management data regarding the health condition of the subject.

In order to achieve the above-mentioned problems, the driving skill evaluation method according to the present invention is a driving skill evaluation method that generates driving skill evaluation data by evaluating the driving skill of a test subject who operates a vehicle traveling on a driving school training course. In the driving skill evaluation method using the system, there is a poor health determination step in which it is determined whether or not the subject's health condition is poor based on the driving skill evaluation data, and a The present invention is characterized by comprising a health management data generation step of generating health management data regarding the health condition of the subject.

According to this invention, the subject is encouraged to improve his/her poor health condition by performing daily activities such as operating and driving a vehicle.

1 is a diagram illustrating an outline of a training course at a driving school in which a driving skill evaluation system according to an embodiment of the present invention is installed. Similarly, it is a diagram explaining the outline of the configuration of the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram illustrating an outline of the test subject's personal information and the instructor's training instructor information used in the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram illustrating an outline of personal periodic measurement information used in the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram explaining the outline of elderly person training information used in the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram illustrating an outline of operation record information generated by the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram explaining the outline of driving skill evaluation data generated by the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram explaining the outline of the configuration of the server of the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram explaining the outline of the configuration of the driving life extension program of the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram illustrating an outline of health management data generated by the driving skill evaluation system according to the present embodiment. Similarly, it is a flowchart illustrating an outline of the operating method of the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram illustrating an outline of driving skill evaluation data and health management data generated by the driving skill evaluation system according to the present embodiment. Similarly, it is a diagram illustrating an outline of new driving skill evaluation data and corrected health management data generated by the driving skill evaluation system according to the present embodiment.

Next, a driving skill evaluation system according to an embodiment of the present invention will be described based on FIGS. 1 to 13.

Prior to explaining the driving skill evaluation system according to the present embodiment, an outline of a training course at a driving school where the driving skill evaluation system is installed will be explained.

FIG. 1 is a diagram illustrating an outline of a training course. As shown in the figure, the training course C has a scheduled travel course C1 and includes an S-curve SC, a garage entry S1, and a crank CL.

Next, an outline of the driving skill evaluation system according to the present embodiment will be explained.

FIG. 2 is a diagram illustrating the outline of the configuration of the driving skill evaluation system according to the present embodiment.
As shown in the figure, the driving skill evaluation system 10 includes a driving skill evaluation device 20 mounted on a four-wheeled vehicle 1, an instructor's mobile terminal device 30 possessed by an instructor who rides in the vehicle 1 with a subject M, and a server. 40.

In this embodiment, the driving skill evaluation device 20 includes a vehicle behavior detection group 21 that detects the behavior of the vehicle 1, a vehicle operation amount detection group 22 that detects the amount of operation of the subject M on the vehicle 1, and a vehicle operation amount detection group 22 that detects the amount of operation of the subject M on the vehicle 1. a posture/joint motion detection group 23 that detects the posture and joint motion of the vehicle 1; a GP that detects position information of the vehicle 1;
The main components include an S receiving section 24 and a control section 25 that controls the driving skill evaluation device 20.

In this embodiment, a display section 26, an operation section 27, and a storage section 28 are connected to this control section 25.

In this embodiment, the vehicle behavior detection group 21 includes a vehicle speed detection section 21a and an acceleration detection section 21b.
, and an angular velocity detection section 21c as main components.

The vehicle speed detection section 21a outputs vehicle speed data according to the speed of the vehicle 1, and the acceleration detection section 2
1b outputs acceleration data according to the acceleration of the vehicle 1, and the angular velocity detection section 21c outputs angular velocity according to the angular velocity (yaw rate) around one vertical axis, for example.

In this embodiment, the vehicle operation amount detection group 22 mainly includes an accelerator pedal depression angle detection section 22a, a brake pedal depression angle detection section 22b, and a steering angle detection section 22c.

The accelerator pedal depression angle detection section 22a detects the depression angle of the accelerator pedal and outputs the corresponding accelerator pedal depression angle data, and the brake pedal depression angle detection section 22b detects the depression angle of the brake pedal and outputs the corresponding accelerator pedal depression angle data. Outputs pedal depression angle data.

In this embodiment, the depression angles of these accelerator pedals and brake pedals are set to 0° when the pedals are not depressed, and the depression angles increase according to the amount of depression of the pedals.

In this embodiment, the steering angle detection unit 22c outputs a steering angle according to the amount of steering operation.

In this embodiment, the posture/joint motion detection group 23 includes a perimeter 23a as a main component. This perimeter 23a measures the movement of the subject's M's line of sight and outputs visual field data according to the measurement results.

In addition to the perimeter 23a, the posture/joint motion detection group 23 is equipped with, for example, a myoelectric potential measuring device that outputs data according to joint motion.

In this embodiment, the posture/joint motion detection group 23 is implemented by a wearable device that is attached to the subject M and detects posture, gaze motion, and joint motion.

In this embodiment, the GPS receiving unit 24 detects the position information of the vehicle 1 on the training course C, and detects whether the vehicle 1 is traveling along the scheduled travel course C1.

In this embodiment, the control unit 25 generates driving skill evaluation data. This driving skill evaluation data includes the personal information of the subject M, the training instructor information of the instructor, the personal periodic measurement information, the elderly training information, and the vehicle behavior detection group input from the operation unit 27 connected to the control unit 25. 21, vehicle operation amount detection group 22, etc., and information input to the instructor's mobile terminal device 30, which will be described later, are compared with evaluation item data, which will be described later. generated by.

FIG. 3 is a diagram illustrating the outline of the personal information of the subject M and the training instructor information of the instructor. As illustrated, the personal information includes basic information such as the name and address of the subject M, driver's license information of the subject M, physical information such as the height and weight of the subject M, and the like.

On the other hand, the training instructor information includes various information such as the instructor's name, date of birth, and training instructor history.

FIG. 4 is a diagram illustrating an outline of personal periodic measurement information. As shown in the figure, the personal periodic measurement information includes information regarding the vital check of the subject M, information regarding the rehabilitation and treatment of the subject M, and the like.

FIG. 5 is a diagram illustrating an outline of the elderly training information. As shown in the figure, the elderly training information is comprised of information regarding the cognitive function test of subject M, a questionnaire such as driving frequency, training for people aged 75 and over, and the like.

FIG. 6 is a diagram illustrating an outline of operation record information. As shown in the figure, the operation record information includes test/inspection course information regarding training course C, test/inspection vehicle information regarding vehicle 1, and vehicle behavior information detected by vehicle behavior detection group 21, vehicle operation amount detection group 22, etc. It is composed of information such as driving record information composed of driver operation information and driver operation information.

FIG. 7 is a diagram illustrating an outline of driving skill evaluation data. As described above, the driving skill evaluation data D1 includes the personal information of the subject M input from the operation unit 27 and the vehicle behavior detection group 21.
The operation record information generated based on the data detected by the above and the like and the information input to the instructor's mobile terminal device 30 are generated by comparing with the evaluation item data.

As shown in the figure, in this driving skill evaluation data D1, operations of the vehicle 1 by the subject M such as "incomplete stopping,""deviation in the driving trajectory," or "failure to signal" are recorded as evaluation results. The operation of the vehicle 1 by the examiner M is scored and recorded as a "total score."

As shown in FIG. 2, the display unit 26 is a display on which various information is displayed, and in this embodiment, for example, generated driving skill evaluation data D1 is displayed.

The operation unit 27 is an interface for inputting various information input to the control unit,
In this embodiment, as described above, the personal information of the subject M, the training instructor information of the instructor, etc. are input.

The storage unit 28 stores various data collected by the control unit 25 or inputted to the control unit 25, and also stores evaluation item data D2 in this embodiment.

This evaluation item data D2 includes the behavior detected during the exemplary driving carried out in the training course, the amount of operation for the vehicle 1, and various data (information regarding the position of the vehicle 1 and the movement of the subject M). ) are correlated with each other in chronological order.

In this embodiment, the instructor's portable terminal device 30 is configured by a portable information terminal having a wireless communication function.

In this instructor's mobile terminal device 30, evaluations related to evaluation items that cannot be evaluated by the driving skill evaluation device 20 (for example, the timing of checking the surroundings in the rearview mirror, the timing of giving directions, etc.) are input as information. The information is sent to the driving skill evaluation device 20 and the server 40.

FIG. 8 is a diagram illustrating an outline of the server 40. As illustrated, the server 40 includes a processor 41, a memory 42, a storage 43, a transmitting/receiving section 44, and an input/output section 45 as main components, which are electrically connected to each other via a bus 46.

The processor 41 is an arithmetic device that controls the operation of the server 40, controls the transmission and reception of data between each element, and performs processing necessary for executing an application program.

In this embodiment, the processor 41 is, for example, a CPU (Central Processor).
ssing Unit), and executes an application program stored in a storage 43 and developed in a memory 42, which will be described later, to perform various processes.

The memory 42 is a dynamic random access memory (DRAM).
y) and other volatile storage devices, as well as flash memory and HDD (Ha
rd Disc Drive), etc.

This memory 42 is used as a work area for the processor 41, and also includes a BIOS (Basic Input/Output System) that is executed when the server 40 is started.
and various setting information etc. are stored.

The storage 43 stores application programs, data used for various processes, and the like, and in this embodiment, an operating life extension program 43A is stored.

FIG. 9 is a diagram illustrating the outline of the configuration of the operating life extension program 43A. In this embodiment, the operating life extension program 43A is implemented by an artificial intelligence program, and includes a poor health determination section 43a and a health management data generation section 43b as shown.

The poor health determination unit 43a uses the driving skill evaluation data D1 generated by the driving skill evaluation device 20.
Based on this, it is determined whether or not the health condition of the subject M is poor.

For example, in the driving skill evaluation data D1 of subject M shown in FIG. It is determined that the condition is defective.

Further, for example, in the driving skill evaluation data D1 of FIG. 7, since it is evaluated that there is a "failure to signal," it is determined that the driver's concentration is decreased and that his health condition is poor.

The health management data generation unit 43b generates health management data when the poor health determination unit 43a determines that the health condition of the subject M is poor.

FIG. 10 is a diagram illustrating an outline of health management data. As shown in the figure, in the health management data D3, a rehabilitation menu that promotes improvement of the poor health condition of the subject M is recorded, based on the situation of the poor health condition of the subject M.

In this embodiment, the health management data D3 includes, for example, "rehabilitation for higher brain dysfunction", "rehabilitation for dementia disorder", "rehabilitation for visual impairment", "rehabilitation for hearing impairment", and "rehabilitation for motor dysfunction". It has a menu such as ``rehabilitation for people with disabilities''.

For example, if the poor health determining unit 43a determines that the patient's health is poor due to decreased arm strength, a menu for improving arm strength (for example, doing push-ups a day 20 times, etc.) is proposed.

Furthermore, for example, if the poor health determining unit 43a determines that the health condition is poor due to decreased concentration, a menu for improving concentration (for example, using a fingertip Exercises to use) are suggested.

On the other hand, if the driving skill evaluation data D1 is newly generated after the health management data D3 is generated, the poor health determination unit 43a determines whether the driving skill evaluation data is It is determined whether or not person M has a poor health condition.

The health management data generation unit 43b corrects the health management data D3 when the poor health determination unit 43a determines that the health condition of the subject M is poor based on the newly generated driving skill evaluation data. and generate corrected health management data.

As shown in FIG. 8, the transmitter/receiver 44 connects the server 40 to the network.

This transmitter/receiver 44 uses Bluetooth (registered trademark) or BLE (Bluetooth).
It may be equipped with a short-range communication interface such as Low Energy).

Information input devices such as a keyboard and mouse, and output devices such as a display are connected to the input/output unit 45 as necessary.

The bus 46 transmits, for example, address signals, data signals, and various control signals between the connected processor 41, memory 42, storage 43, transmitting/receiving section 44, and input/output section 45.

Next, the operating method of the driving skill evaluation system 10 will be explained based on the flowchart of FIG. 11 illustrating an outline of the operating method of the driving skill evaluation system 10.

First, the personal information of the subject M, the instructor's training instructor information, the personal periodic measurement information, and the elderly training information are input to the control section 25 of the driving skill evaluation device 20 via the operation section 26.

Thereafter, as shown in the figure, in step S1, the subject M boards the vehicle 1 together with the instructor, operates the vehicle 1, and drives the vehicle 1 on the training course C along the scheduled travel course C1.

Due to the operation of the vehicle 1, various data are detected by the vehicle behavior detection group 21, the vehicle operation amount detection group 22, etc., and operation record information is generated based on this data.

On the other hand, the instructor inputs the evaluation regarding the evaluation items that cannot be evaluated by the driving skill evaluation device 20 regarding the operation of the vehicle 1 of the subject M into the instructor's mobile terminal device 30 as information.

These operation record information, information input to the instructor's mobile terminal device 30, personal information input in advance to the control unit 25, etc. are compared with the evaluation item data D2, and in step S2, the driving skill evaluation device 20 Driving skill evaluation data D1 is generated.

FIG. 12(a) is a diagram illustrating an outline of the generated driving skill evaluation data D1. As shown in the figure, in the driving skill evaluation data D1 of the present embodiment, it is evaluated that there are "insufficient temporary stop: -5", "deviation in driving trajectory: -10", "failure to signal: -10", etc. It is evaluated that the "total score" is "-590".

When the driving skill evaluation data D1 is generated, the poor health determination unit 43a of the driving life extension program 43A stored in the server 40 determines that the health condition of the subject M is poor based on the driving skill evaluation data D1. Determine whether or not.

In the present embodiment, since the driving skill evaluation data D1 is evaluated as having "improper temporary stop: -5", "deviation in driving trajectory: -10", "failure to signal: -10", etc. ``Difference in driving trajectory: -10'' is determined to be due to poor health as the arm strength required to operate the steering wheel is decreasing, and ``Failure to signal: -10'' is determined to be due to a decline in concentration. It is determined that the person is in poor health condition.

When the poor health determining unit 43a determines that the health condition of the subject M is poor, in step S3, the health management data generating unit 43b of the driving life extension program 43A generates health management data D3.

FIG. 12(b) is a diagram illustrating an outline of the health management data D3. As shown in the figure, in the health management data D3 of the present embodiment, the poor health determining unit 43a determines that the physical condition is poor due to decreased arm strength. Menus have been proposed to improve arm strength (for example, doing push-ups 20 times a day).

Similarly, since the poor health determination unit 43a has determined that the health condition is poor due to a decrease in concentration, menus for improving concentration (for example, fingertip rehabilitation) are provided as "rehabilitation for dementia patients." Exercises to use) are suggested.

After the health management data D3 is generated, as shown in FIG. 11, in step S4, the subject M performs the following activities based on the rehabilitation menu presented in the health management data D3.
Practice the menu.

After practicing the menu, in step S5, the subject M returns to the vehicle 1 with the instructor.
The user gets on board the vehicle, operates the vehicle 1, and drives the vehicle 1 again on the training course C along the planned course C1.

Based on this re-driving, new driving skill evaluation data is generated by the driving skill evaluation device 20 in step S6.

FIG. 13(a) is a diagram illustrating an outline of the generated new driving skill evaluation data D1α. As shown in the figure, in the new driving skill evaluation data D1α of the present embodiment, it is evaluated that there were "inadequate temporary stops: -5" and "failure to signal: -10", and the "total score" is "
-530''.

That is, by practicing the menu in step S4, "driving trajectory deviation: -10
” has been resolved, and the “total score” has improved from “-590” to “-530.”

When the new driving skill evaluation data D1α is generated, as shown in FIG.
, the poor health determination unit 43 of the operating life extension program 43A stored in the server 40
a determines whether or not the health condition of the subject M is poor, that is, whether or not the health condition of the subject M is improving, based on the new driving skill evaluation data D1α.

In the new driving skill evaluation data D1α, in the case of an evaluation result in which there is no indication such as “inadequate stopping,” “deviation in driving trajectory,” or “failure to signal,” the poor health determination unit 43
A determines that the health condition of the subject M is improving.

On the other hand, in the present embodiment, in the new driving skill evaluation data D1α, although "driving trajectory deviation: -10" has been resolved, it is still evaluated that "failure to signal: -10" etc. Therefore, in step S7, it is determined that the person's concentration is decreased and that the health condition is poor.

When the poor health determining unit 43a determines that the health condition of the subject M is poor, in step S8, the health management data generating unit 43b of the driving life extension program 43A generates corrected health management data D3α.

FIG. 13(b) is a diagram illustrating an outline of the corrected health management data D3α. As shown in the figure, in the corrected health management data D3α of the present embodiment, the poor health determining unit 43a determines that the health condition is poor due to decreased concentration. Menus aimed at improving concentration (for example, exercises using fingertips) are being proposed again as part of "rehabilitation."

After the modified health management data D3α is generated, as shown in FIG. 11, in step S4, the subject M practices the rehabilitation menu based on the rehabilitation menu presented in the modified health management data D3α.

As described above, according to the driving skill evaluation system 10 of the present embodiment, the poor health determination unit 43a of the driving life extension program 43A is based on the driving skill evaluation data D1 generated by daily activities such as operating the vehicle 1. Accordingly, it is possible to easily determine whether or not the health condition of the subject M is poor.

In this embodiment, when it is determined that the health condition of the examinee M is poor, the health management data generation unit 43b of the driving life extension program 43A determines the health condition of the examinee M based on this determination result. Health management data D3 regarding the health management data D3 is generated.

Since this health management data D3 records a rehabilitation menu that promotes improvement of the poor health condition of the subject M, the subject M performs daily activities such as operating and driving the vehicle 1. This will help improve poor health conditions.

Furthermore, in the present embodiment, when new driving skill evaluation data D1α is generated after the health management data D3 is generated, the poor health determination unit 43a performs a test based on this new driving skill evaluation data D1α. It is determined whether or not person M has a poor health condition.

Therefore, based on the most recent daily activity of operating the vehicle 1, it is possible to easily and appropriately determine whether or not the current health condition is poor.

Moreover, based on this determination result, the health management data generation unit 43b generates the health management data D3.
Since the corrected health management data D3α is generated by correcting the above, it is possible to generate appropriate corrected health management data D3α based on the most recent health condition.

Note that the present invention is not limited to the above-described embodiments, and can be modified in various ways without departing from the spirit of the invention. In the above embodiment, a case has been described in which the vehicle 1 has four wheels, but it may have two wheels or three wheels.

In the above embodiment, a case has been described in which the posture/joint motion detection group 23 is implemented as a wearable device worn on the subject M. It may be implemented by a sensor that is attached to the seat of the subject M and detects the posture of the subject M, the movement of the line of sight, and further the movement of the joints.

The present invention may have the following configuration.
The driving skill evaluation system consists of a driving course management department that manages the route for each driving course and scoring (evaluation) items within the course at a driving school or on the road (public road), and a driving course management department that manages the route and scoring (evaluation) items within the course at a driving school or on the road (public road), and the driving skill evaluation system that manages the driving skills of the vehicle on the driving course that the examinee is driving. The driving record section records and collects driving conditions and operations/actions while driving, and the recorded data complies with the National Police Agency's "Standards for the Operation of Scoring Criteria for Driving License Proficiency Tests." It consists of four parts: a driving skill evaluation section that analyzes and evaluates the skills related to safe driving necessary for obtaining or renewing a driver's license, and a driving evaluation result display section that visualizes (displays) and confirms the evaluation results. .
In addition, the driving aptitude diagnosis system is based on personal information, including information about the subject's personal attributes, physical condition (illness, disability, etc.), driving history, etc., or information collected through desk tests of the subject. The optimal course determination unit determines the most appropriate test/inspection course or a course for functional recovery/improvement, etc. When driving on the course at a driving school, the test subject receives exercise and biological information from equipment attached to the subject. An exercise biometric recording unit that measures and records the condition of the subject, and a driving aptitude diagnostic judgment unit that analyzes and diagnoses the test subject's driving aptitude and physical recovery status based on the recorded exercise and biological information. The driving aptitude diagnosis result display section visualizes (displays) and confirms the diagnosis results.

1 Vehicle 10 Driving skill evaluation system 20 Driving skill evaluation device 21 Vehicle behavior detection group 22 Vehicle operation amount detection group 25 Control unit 28 Storage unit 30 Instructor's mobile terminal device 40 Server 43A Driving life extension program 43a Poor health determination unit 43b Health management Data generation unit D1 Driving skill evaluation data D1α New driving skill evaluation data D2 Evaluation item data D3 Health management data D3α Modified health management data M Subject

Claims (4)

a vehicle behavior acquisition unit that acquires vehicle behavior;
a vehicle operation amount acquisition unit that acquires an operation amount of the subject with respect to the vehicle;
a driving skill evaluation unit that evaluates the driving skill of the subject based on the behavior of the vehicle and the operation amount;
a poor health determination unit that determines whether or not the test subject has a poor health condition based on the evaluation result of the driving skill;
an output unit that outputs the determination result;
a health management data generation unit that generates health management data regarding the health condition of the subject based on the determination result of the poor health determination unit;
Equipped with
The health management data generation unit includes:
Based on the evaluation results of the driving skills, propose a rehabilitation menu that promotes improvement of poor health condition of the subject;
The vehicle behavior acquisition unit includes:
After the health management data is generated and after the rehabilitation of the subject is performed, the vehicle operation amount acquisition unit newly acquires the behavior of the vehicle, and the vehicle operation amount acquisition unit newly acquires the behavior of the vehicle Get the operation amount,
The driving skill evaluation department is
evaluating the driving skill based on the newly acquired behavior of the vehicle and the operation amount;
A health evaluation system characterized by: The health management data generation unit includes:
3. The health evaluation system according to claim 2, wherein the health management data is generated when the poor health determination unit determines that the health condition of the subject is poor. to the computer,
obtaining vehicle behavior;
obtaining the amount of operation of the subject on the vehicle;
evaluating the subject's driving skill based on the behavior of the vehicle and the amount of operation;
determining whether or not the test subject has a poor health condition based on the evaluation result of the driving skill;
outputting the determination result;
generating health management data regarding the health condition of the subject based on the determination result by the poor health determination unit;
After implementing the rehabilitation of the subject, the behavior of the vehicle is newly acquired, the operation amount of the subject is newly acquired, and the a step of evaluating driving skills;
A program to run. The computer is
obtaining vehicle behavior;
a car step of acquiring the amount of operation of the subject on the vehicle;
evaluating the driving skill of the subject based on the behavior of the vehicle and the amount of operation;
determining whether or not the test subject has a poor health condition based on the evaluation result of the driving skill;
outputting the determination result;
generating health management data regarding the health condition of the subject based on the determination result by the poor health determination unit;
After implementing rehabilitation of the subject, the behavior of the vehicle is newly acquired, the operation amount of the subject is newly acquired, and the a step of evaluating driving skills;
A health evaluation method characterized by performing.