JP2020144816A - Vehicle operation information provision device, vehicle operation information provision method, and program - Google Patents

Abstract

To provide a vehicle information provision device, a vehicle information provision method, and a program which are capable of suppressing deterioration in a technique of manual operation of a driver.SOLUTION: The present invention provides a vehicle operation information provision device, comprising: an operation history acquisition unit 404 that acquires an operation history of manual operation of a driver of the vehicle; a proficiency determination unit 402 that determines a proficiency of the operation of the driver; and an operation recommendation unit that recommends manual operation for the driver on the basis of the operation history and the proficiency. Such a configuration can suppress deterioration in the technique of the manual operation of the driver.SELECTED DRAWING: Figure 1

Description

The present invention relates to a vehicle information providing device, a vehicle information providing method, and a program.

Conventionally, for example, the following Patent Document 1 describes that advice according to the skill level of a driver is displayed on an alarm device.

Japanese Unexamined Patent Publication No. 2003-99897

Recently, the development of technology for automatically driving vehicles such as automobiles is underway. On the other hand, there are still many situations where the driver performs manual driving. If the driver has not done much manual driving in the past, it is assumed that the skill of manual driving will deteriorate. Although it is assumed that the above-mentioned Patent Document 1 displays advice according to the skill level of the driver, no consideration is given to suppressing the deterioration of the skill of manual driving.

Therefore, the present invention has been made in view of the above problems, and an object of the present invention is information on a new and improved vehicle capable of suppressing a decrease in the manual driving skill of a driver. The purpose is to provide an information providing device, a vehicle information providing method, and a program.

In order to solve the above problems, according to a certain viewpoint of the present invention, a driving history acquisition unit for acquiring the driving history of manual driving of a vehicle driver and a proficiency acquisition unit for acquiring the driving proficiency of the driver. Provided is a vehicle driving information providing device including a driving recommendation unit that recommends manual driving to the driver based on the driving history and the skill level.
In order to solve the above problems, according to a certain viewpoint of the present invention, a driving history acquisition unit for acquiring the driving history of manual driving of a vehicle driver and a proficiency acquisition unit for acquiring the driving proficiency of the driver. A vehicle driving information providing device is provided, which includes a driving recommendation unit that recommends automatic driving to the driver based on the driving history and the skill level.

The operation history may be an elapsed period elapsed since the last manual operation was performed, or a cumulative manual operation period within a predetermined period in the past.

In addition, the operation recommendation unit has a second setting in which the elapsed period exceeds the first threshold value determined according to the skill level, or the value related to the cumulative manual operation period is determined according to the skill level. When the threshold value is exceeded, manual operation may be recommended to the driver.

Further, the higher the skill level, the larger the first threshold value or the second threshold value may be.

Further, the driving recommendation unit recommends automatic driving to the driver when the elapsed period exceeds a predetermined value and when the third threshold value determined according to the skill level is exceeded. Is also good.

Further, the higher the skill level, the larger the third threshold value may be.

Further, a driver authentication unit that authenticates the driver and a storage unit that stores the operation history and the skill level are provided, and the operation history acquisition unit can be used from the storage unit based on the authentication result of the driver. The driving history may be acquired, and the proficiency acquisition unit may acquire the proficiency level from the storage unit based on the authentication result of the driver.

Further, in order to solve the above-mentioned problems, according to another viewpoint of the present invention, a step of acquiring a driving history of manual driving of a vehicle driver, a step of acquiring a driving skill of the driver, and the driving. A method for providing driving information of a vehicle is provided, which comprises a step of recommending manual driving to the driver based on the history and the skill level.

Further, in order to solve the above problems, according to another viewpoint of the present invention, a means for acquiring a driving history of manual driving of a vehicle driver, a means for acquiring a driving skill of the driver, and the driving history. A program for operating a computer is provided as a means of recommending manual driving to the driver based on the skill level.

According to the present invention, it is possible to provide a vehicle information providing device, a vehicle information providing method, and a program capable of suppressing a decrease in a driver's manual driving skill.

It is a schematic diagram which shows the structure of the vehicle system which concerns on one Embodiment of this invention. It is a flowchart which shows the process of determining whether a driver of a vehicle is an expert. It is a flowchart which shows the process of determining whether a driver of a vehicle is an expert. It is a characteristic diagram which shows the steering angle for Z seconds before and after the timing when the yaw rate becomes the maximum value (peak value) in step S16 of FIG. It is a characteristic diagram which shows the standard deviation of a skilled person and an unskilled person obtained from the distribution of the steering angular velocity in Z seconds. It is a schematic diagram which shows the recommended method of manual operation based on the elapsed days D (horizontal axis) from the last manual operation, and the skill level (vertical axis) of a driver. It is a schematic diagram which shows the recommended method of manual operation based on the cumulative manual operation time T of the past 3 months, and the skill level (vertical axis) of a driver. FIG. 5 is a schematic view in which a threshold value TH3 for recommending automatic operation is added when the number of days D elapsed from the last manual operation exceeds a predetermined value DTH with respect to FIG. It is a flowchart which shows the process which recommends a manual operation and an automatic operation to a driver based on the proficiency level of a driver, the elapsed days D, and the cumulative manual operation time T.

A preferred embodiment of the present invention will be described in detail below with reference to the accompanying drawings. In the present specification and the drawings, components having substantially the same functional configuration are designated by the same reference numerals, so that duplicate description will be omitted.

FIG. 1 is a schematic view showing a configuration of a vehicle system 1000 according to an embodiment of the present invention. The vehicle system 1000 is basically a system configured in a vehicle such as an automobile. In this embodiment, in particular, a vehicle capable of both automatic driving and manual driving is assumed. As shown in FIG. 1, the vehicle system 1000 includes an external sensor 100, a vehicle sensor 200, a steering angle sensor 300, a personal authentication device 350, a control device 400, an in-vehicle display device 500, an external display device 600, a navigation device 700, and a communication device. It is configured to have 800 and a speaker 900.

The vehicle exterior sensor 100 is composed of a stereo camera, a monocular camera, a millimeter wave radar, an infrared sensor, and the like, and measures the position and speed of a person or vehicle around the own vehicle. When the vehicle exterior sensor 100 is composed of a stereo camera, the stereo camera is configured to have a pair of left and right cameras having image pickup elements such as a CCD sensor and a CMOS sensor, and images the external environment outside the vehicle. The image information is sent to the control device 400. As an example, a stereo camera is composed of a color camera capable of acquiring color information and is installed on the upper part of the windshield of a vehicle.

The vehicle sensor 200 acquires information communicated by CAN (Control Area Network) in the vehicle, such as vehicle speed, acceleration, angular velocity, and yaw rate. In addition, these information can be acquired from various sensors. The steering angle sensor 300 is attached to the steering wheel and detects the steering angle of the steering wheel.

The personal authentication device 350 is a device that serves as an interface with the driver when performing personal authentication of the driver. The driver's name and ID are input to the personal authentication device 350 for personal authentication of the driver. Further, the personal authentication device 350 may acquire the driver's face image, the driver's voice, the iris, etc. for the driver's personal authentication. The personal authentication device 350 may be a device such as a smartphone, or may be a device that communicates with the control device 400 via the communication device 800.

The control device 400 recommends manual driving to the driver based on the driving skill and driving history of the driver of the vehicle. Therefore, the control device 400 has a skill level determination unit (proficiency level acquisition unit) 402, an operation history acquisition unit 404, a driving recommendation unit 406, a driver authentication unit 410, and an operation history storage unit 412. The skill level determination unit 402 determines the driving skill level of the driver of the vehicle. The proficiency level determination unit 402 may acquire the proficiency level of the driver stored in the operation history storage unit 412 and determine the proficiency level of the driver. The operation history acquisition unit 404 acquires the operation history of the past driver. The driving recommendation unit 406 recommends manual driving or automatic driving to the driver based on the skill level and the driving history.

Further, the driving recommendation unit 406 controls the provision of information by the in-vehicle display device 500 or the speaker 900, and presents the information recommending manual driving or automatic driving to the driver. The driver authentication unit 410 authenticates the driver who drives the vehicle based on the information input from the personal authentication device 350. As an example of the authentication method, there is a method of acquiring and authenticating the driver's personal information (name, ID, etc.) and an image of the driver's face, fingerprint, iris, etc. Can use various methods. The driving history storage unit 412 stores the driving history for each individual driver. The driving history storage unit 412 stores the time, date and time, driving skill level, etc. from when the driver is seated to when the vehicle is started and stopped. The operation history storage unit 412 may be provided outside the control device 400, and may be configured in, for example, a smartphone owned by the driver, an external server, or the like. By configuring these smartphones, servers, etc. to enable wireless communication with the control device 400, it is possible to recommend manual driving and automatic driving according to this embodiment even when the driver drives a vehicle other than his / her own vehicle. Is. Each component of the control device 400 can be configured by a circuit (hardware), a central processing unit such as a CPU, and a program (software) for functioning the central processing unit.

The in-vehicle display device 500 is, for example, a device that displays on a dash panel in the vehicle, around a meter, or the like. The vehicle exterior display device 600 is a device that displays toward the outside of the vehicle. The in-vehicle display device 500 and the in-vehicle display device 600 may be composed of a HUD (Head-up Display) device. A HUD (Head-up Display) device is a display device that directly displays information in a human visual field, and displays a real image or a virtual image on glass such as a windshield or a rear glass of an automobile.

The communication device 800 communicates with the outside of the vehicle and receives various information such as traffic jam information and road information. The navigation device 700 searches for a route from the current location to the destination based on the map information. Therefore, the navigation device 700 can acquire the current position of the vehicle by a global positioning system (GPS: Global Positioning System) or the like. In addition, the navigation device 700 remembers the route on which the vehicle has traveled to the current location.

2 and 3 are flowcharts showing a process of determining whether the driver of the vehicle is an expert. The processes of FIGS. 2 and 3 are performed by the control device 400 at predetermined intervals, and are mainly performed by the skill level determination unit 402. FIG. 2 shows a process of determining the skill level of the driver based on the curve traveling section. The curve may be a single curve, or a plurality of curves may be averaged.

First, in step S10, it is determined whether or not the vehicle has traveled on a curve based on the yaw rate of the vehicle detected by the vehicle sensor 200. Specifically, in step S10, when the yaw rate is larger than the first threshold value X1 and smaller than the second threshold value X2, it is determined that the vehicle has traveled on the curve. If the vehicle has traveled on the curve, the process proceeds to step S12, and if the vehicle has not traveled on the curve, the process ends.

In step S12, it is determined whether or not the time t1 in which the vehicle is traveling on the curve continues for a certain period of time. Specifically, in step S12, it is determined whether or not the time t1 in which the vehicle is traveling on the curve exceeds the threshold value Y, and the time t1 in which the vehicle is traveling on the curve exceeds the threshold value Y. If so, it is determined that the time t1 in which the vehicle is traveling on the curve has continued for a certain period of time, and the process proceeds to step S16.

In step S16, based on the yaw rate of the vehicle detected by the in-vehicle sensor 200, the steering angle for Z seconds before and after the timing when the yaw rate reaches the maximum value (peak value) in the time t1 when the vehicle is traveling on the curve is set. get. In the next step S18, the steering angular velocity α or the steering angular acceleration β in Z seconds is calculated. In the next step S20, the standard deviation σ of the steering angular velocity α or the steering angular acceleration β is calculated.

In the next step S22, it is determined whether or not the value of the standard deviation σ is larger than the predetermined threshold value T, and if the standard deviation σ is larger than the predetermined threshold value T, the process proceeds to step S24. When the process proceeds to step S24, it is considered that the steering is unstable because the variation in the steering angular velocity α or the steering angular acceleration β is relatively large. Therefore, in step S24, it is determined that the driver of the vehicle is an unskilled person. In the next step S28, the driver is personally authenticated. In the next step S29, the driver's skill level and driving history (driving time, date and time, etc.) are recorded in the driving history storage unit 412. The driving history includes a history related to manual driving and automatic driving. The proficiency level and the driving history are recorded in association with the driver authentication result. Therefore, the driving history storage unit 412 records the identification information (face, fingerprint, name, etc.) of each driver, the skill level, and the driving history in association with each other. After step S29, the process ends.

On the other hand, if the value of the standard deviation σ is equal to or less than the predetermined threshold value T in step S22, the process proceeds to step S26. When the process proceeds to step S26, it is considered that the steering is stable because the variation in the steering angular velocity α or the steering angular acceleration β is relatively small. Therefore, in step S26, it is determined that the driver of the vehicle is an expert. After step S26, the process proceeds to step S28, and the subsequent processing is performed in the same manner as described above. A plurality of threshold values T may be prepared and the skill level may be determined in multiple stages.

FIG. 4A is a characteristic diagram showing a steering angle for Z seconds before and after the timing when the yaw rate reaches the maximum value (peak value) in step S16. Further, FIG. 4B is a characteristic diagram showing a standard deviation between a skilled person and an unskilled person, which is obtained from the distribution of the steering angular velocity in Z seconds. As shown in FIG. 4B, the expert has a narrower distribution of steering angular velocity than the non-expert, and the standard deviation value is smaller.

FIG. 3 shows a process of determining the skill level of the driver based on the straight traveling section. In this process, the wobbling in a straight line is evaluated from the standard deviation of the lateral acceleration to determine the skill level. First, in step S30, it is determined whether or not the vehicle has traveled in a straight line based on the yaw rate of the vehicle detected by the vehicle sensor 200. Specifically, in step S30, when the yaw rate is smaller than the predetermined threshold value X, it is determined that the vehicle has traveled in a straight line. If the vehicle travels on a straight line, the process proceeds to step S32, and if the vehicle does not travel on a straight line, the process ends.

In step S32, it is determined whether or not the time t1 in which the vehicle is traveling in a straight line continues for a certain period of time. Specifically, in step S32, it is determined whether or not the time t1 in which the vehicle is traveling in a straight line exceeds the threshold value Y, and the time t1 in which the vehicle is traveling in a straight line exceeds the threshold value Y. If so, it is determined that the time t1 in which the vehicle is traveling in a straight line has continued for a certain period of time, and the process proceeds to step S36.

In step S36, based on the lateral acceleration of the vehicle acquired by the vehicle sensor 200, the lateral acceleration of the straight traveling section is acquired within the time t1 during which the vehicle is traveling in a straight line. In the next step S38, the standard deviation γ of the lateral acceleration acquired in step S36 is calculated.

In the next step S40, it is determined whether or not the value of the standard deviation γ is larger than the predetermined threshold value S, and if the standard deviation γ is larger than the predetermined threshold value S, the process proceeds to step S42. When the process proceeds to step S42, it is considered that the vehicle behavior is unstable because the lateral acceleration varies relatively large. Therefore, in step S42, it is determined that the driver of the vehicle is an unskilled person. In the next step S46, the driver is personally authenticated. In the next step S48, the driver's skill level and driving history are recorded in the driving history storage unit 412. After step S48, the process ends.

On the other hand, if the value of the standard deviation γ is equal to or less than the predetermined threshold value S in step S40, the process proceeds to step S44. When the process proceeds to step S44, it is considered that the vehicle behavior is stable because the variation in lateral acceleration is relatively small. Therefore, in step S44, it is determined that the driver of the vehicle is an expert. After step S44, the process proceeds to step S46, and the subsequent processing is performed in the same manner.

The skill level determination unit 402 may determine the skill level of a driver whose skill level is known in advance based on the result of authentication by the driver certification unit 410. For example, when a driver A determined to be an unskilled person in the past drives a vehicle and the driver authentication unit 410 authenticates the driver A, the process shown in FIGS. 2 and 3 is not performed. The driver A can be determined to be an unskilled person.

Further, as a method for determining the skill level of the driver, a method other than the methods shown in FIGS. 2 and 3 may be used. For example, the smoothness of acceleration / deceleration may be evaluated from the standard deviation of the accelerator opening degree change rate to determine the driver's skill level. Further, the wobbling in a straight line may be evaluated based on a traveling locus obtained from GPS, white line detection, or the like to determine the driver's skill level. In addition to the traveling locus, the frequency analysis result of the steering angular velocity, the time (or the number of times) that the absolute value of the steering angular velocity exceeds a predetermined value, the standard deviation of the yaw rate, the number of lane departures, etc. can be evaluated by the threshold value. good. Further, the driver's skill level may be evaluated by evaluating how to take the distance between vehicles from the standard deviation of the collision margin time.

Based on the determination of the driver's skill level of the vehicle as described above, in the present embodiment, the driver is recommended to perform manual driving according to the parameter indicating the history of the driver's manual driving, and the driver's manual driving skill is maintained. Improve.

Specifically, as parameters indicating the history of manual driving, the number of days D elapsed since the last manual driving and, for example, the cumulative manual driving time T of the past three months are used. At this time, the larger the value of the number of days D elapsed from the last manual driving, the less the driver feels the manual driving, so that the manual driving is recommended. Further, for example, the smaller the value of the cumulative manual driving time T for the past three months, the less the driver feels the manual driving, so that the manual driving is recommended. In the present embodiment, the period of the past 3 months will be described as an example, but this period is an example, and other periods (for example, 6 months, 1 year, etc.) can be appropriately used.

Further, in the present embodiment, manual operation is recommended in consideration of the skill level of the driver in addition to the elapsed days D and the cumulative manual operation time T. FIG. 5 is a schematic diagram showing a recommended method of manual driving based on the number of days D (horizontal axis) elapsed from the last manual driving and the skill level (vertical axis) of the driver. Manual operation is recommended based on the threshold value TH1 shown by the broken line in FIG. The threshold value TH1 is determined according to the skill level of the driver, and the lower the skill level, the more recommended the manual operation.

As described above, the larger the value of the number of days D elapsed from the last manual driving, the less the driver feels the manual driving, so that the manual driving is recommended. Further, when the driver's skill level is low, the decrease in the sense of manual driving according to the elapsed days D becomes larger than when the driver's skill level is high. Therefore, as shown in FIG. 5, the lower the skill level of the driver and the longer the elapsed days D, the more recommended the manual operation is. As shown in FIG. 5, when the elapsed days D exceeds the threshold value TH1 determined according to the skill level of the driver, manual operation is recommended.

FIG. 6 is a schematic diagram showing a recommended method of manual driving based on the cumulative manual driving time T for the past three months and the driver's skill level (vertical axis). Manual operation is recommended based on the threshold value TH2 shown by the broken line in FIG. The threshold value TH2 is determined according to the skill level of the driver, and the lower the skill level, the more recommended the manual operation.

As described above, the smaller the value of the cumulative manual driving time T for the past three months, the less the driver feels the manual driving, so the manual driving is recommended. Further, when the driver's skill level is low, the decrease in the sense of manual driving according to the cumulative manual driving time T becomes larger than when the driver's skill level is high. Therefore, as shown in FIG. 6, the lower the skill level of the driver and the larger the reciprocal 1 / T of the cumulative manual operation time T, the more recommended the manual operation. As shown in FIG. 6, when the reciprocal 1 / T of the cumulative manual operation time T exceeds the threshold value TH2 determined according to the skill level of the driver, manual operation is recommended.

Further, when the number of days D elapsed from the last manual driving is very long, it is considered that the feeling of manual driving is greatly reduced. In such a case, it is preferable to recommend automatic driving rather than recommending manual driving to improve skills. FIG. 7 is a schematic view in which a threshold value TH3 for recommending automatic operation is added to FIG. 5 when the number of days D elapsed from the last manual operation exceeds a predetermined value DTH. As shown in FIG. 7, when the elapsed days D from the last manual operation exceeds the predetermined value DTH, automatic operation is recommended according to the elapsed days D. At this time, it is assumed that the lower the driver's skill level, the greater the feeling of manual driving. Therefore, as for the threshold value TH3, the lower the driver's skill level, the more recommended automatic driving. Is determined to be. As shown in FIG. 7, when the elapsed days D exceeds the predetermined value DTH and the elapsed days D exceeds the threshold value TH3 determined according to the skill level of the driver, automatic operation is recommended.

As described above, in the present embodiment, manual operation and automatic operation are recommended according to the elapsed days D, the cumulative manual operation time T, and the skill level of the driver. FIG. 8 is a flowchart showing a process of recommending manual driving and automatic driving to the driver based on the skill level of the driver, the elapsed days D, and the cumulative manual driving time T.

First, in step S50, the driver authentication unit 410 performs personal authentication. Personal authentication may be performed when the driver gets into the vehicle. In the next step S52, the skill level of the driver is determined based on the authentication result. In the next step S54, the operation history of the driver for the past three months is referred to. As described above, the driving history storage unit 412 records the identification information of each driver, the skill level, and the driving history in association with each other. Therefore, the driver's skill level can be determined and the driving history can be acquired by referring to the driving history storage unit 412 based on the authentication result.

In the next step S56, the number of days D elapsed since the last manual driving and the cumulative manual driving time T for the past three months are acquired based on the driver's driving history. In the next step S58, it is determined whether or not the elapsed days D exceeds the predetermined value DTH, and if the elapsed days D does not exceed the predetermined value DTH, the process proceeds to step S60. In step S60, it is determined whether or not the reciprocal 1 / T of the elapsed days D or the cumulative manual operation time T exceeds the threshold values TH1 and TH2 determined according to the skill level shown in FIGS. 5 and 6. Then, when the elapsed days D exceeds the threshold value TH1 determined according to the skill level, or when the inverse number 1 / T of the cumulative manual operation time T exceeds the threshold value TH2 determined according to the skill level, The process proceeds to step S62, and the operation recommendation unit 406 recommends manual operation to the driver. After step S62, the process ends.

Further, in step S60, the elapsed days D does not exceed the threshold value TH1 determined according to the skill level, and the reciprocal 1 / T of the cumulative manual operation time T exceeds the threshold value TH2 determined according to the skill level. If not, the process is terminated without recommending manual operation.

If the elapsed days D exceeds the predetermined value DTH in step S58, the process proceeds to step S64. As described above, when the elapsed days D exceeds the predetermined value DTH, it is considered that the technique of manual operation is significantly deteriorated. Therefore, when the process proceeds to step S64, it is determined whether or not the elapsed days D exceeds the threshold value TH3 according to the skill level in order to recommend automatic operation according to the skill level. Then, when the elapsed days D exceeds the threshold value TH3 according to the skill level, the process proceeds to step S66, and the driving recommendation unit 406 recommends automatic driving to the driver. After step S66, the process ends.

Further, in step S64, if the elapsed days D does not exceed the threshold value TH3 determined according to the skill level, the process is terminated without recommending manual operation.

Although the preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, the present invention is not limited to such examples. It is clear that a person having ordinary knowledge in the field of technology to which the present invention belongs can come up with various modifications or modifications within the scope of the technical ideas described in the claims. , These are also naturally understood to belong to the technical scope of the present invention.

400 Control device 402 Skill level judgment unit 404 Operation history acquisition unit 406 Operation recommendation unit 410 Driver authentication unit 412 Operation history storage unit

Claims (10)

A driving history acquisition unit that acquires the driving history of manual driving of the vehicle driver,
A proficiency acquisition unit that acquires the driving proficiency of the driver, and
A driving recommendation unit that recommends manual driving to the driver based on the driving history and the skill level.
A vehicle driving information providing device, characterized in that. A driving history acquisition unit that acquires the driving history of manual driving of the vehicle driver,
A proficiency acquisition unit that acquires the driving proficiency of the driver, and
A driving recommendation unit that recommends automatic driving to the driver based on the driving history and the skill level,
A vehicle driving information providing device, characterized in that. The vehicle driving information provided according to claim 1 or 2, wherein the driving history is an elapsed period that has elapsed since the last manual driving, or a cumulative manual driving period within a predetermined period in the past. apparatus. The operation recommendation unit has a second threshold value when the elapsed period exceeds the first threshold value determined according to the skill level, or a value related to the cumulative manual operation period is determined according to the skill level. The vehicle driving information providing device according to claim 3, wherein manual driving is recommended to the driver when the above value is exceeded. The vehicle driving information providing device according to claim 4, wherein the higher the skill level is, the larger the first threshold value or the second threshold value is. The driving recommendation unit is characterized in that, when the elapsed period exceeds a predetermined value, the driver is recommended to perform automatic driving when the third threshold value determined according to the skill level is exceeded. The vehicle driving information providing device according to any one of claims 3 to 5. The vehicle driving information providing device according to claim 6, wherein the higher the skill level is, the larger the third threshold value is. The driver authentication unit that authenticates the driver and
A storage unit that stores the operation history and the skill level is provided.
The operation history acquisition unit acquires the operation history from the storage unit based on the authentication result of the driver.
The vehicle driving information providing device according to any one of claims 1 to 7, wherein the proficiency level acquisition unit acquires the proficiency level from the storage unit based on the authentication result of the driver. Steps to get the driving history of manual driving of the vehicle driver,
The step of acquiring the driving skill of the driver and
Based on the driving history and the skill level, the step of recommending manual driving to the driver and
A method of providing driving information of a vehicle, which comprises the above. A means of acquiring the driving history of manual driving of a vehicle driver,
A means for acquiring the driving skill of the driver,
A means for recommending manual driving to the driver based on the driving history and the skill level.
A program to make your computer work as.

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