JP2019012480A - Driving diagnostic device and driving diagnostic method - Google Patents

Abstract

To improve accuracy in diagnosing a driving skill.SOLUTION: A driving diagnostic device according to one embodiment comprises an acquisition unit, a diagnostic unit, a determination unit, and a generation unit. The acquisition unit acquires operation information on driving operation performed by a driver of a vehicle. The diagnostic unit diagnoses the driver's driving skill on the basis of the operation information acquired by the acquisition unit. The determination unit determines, on the basis of the operation information, whether or not the driver performs preliminary operation according to an attention point at which the vehicle needs to travel with attention before the vehicle passes through the attention point. When the determination unit determines that the driver performs the preliminary operation, the generation unit generates diagnosis result information excluding a result of diagnosis performed by the diagnostic unit on danger avoidance operation at the attention point.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a driving diagnosis apparatus and a driving diagnosis method.

  Conventionally, there is a driving diagnosis device that diagnoses driving skills of a vehicle driver. The diagnosis result by the driving diagnosis apparatus can be used not only for investigation of the cause of the accident but also for safety education of the driver (for example, see Patent Document 1).

JP2012-113609A

  However, in the prior art, when the driver unavoidably performs a risk avoiding operation for avoiding a danger such as a sudden brake due to an external factor such as a pedestrian jumping out, the result of the diagnosis is a result of the risk avoiding operation. Decrease the score. That is, in the prior art, the diagnostic accuracy of driving skills is not sufficient, and improvement has been desired.

  The present invention has been made in view of the above, and an object thereof is to provide a driving diagnosis apparatus and a driving diagnosis method that can improve the diagnosis accuracy of driving skills.

  In the driving diagnosis apparatus, the present invention includes an acquisition unit, a diagnosis unit, a determination unit, and a generation unit. The acquisition unit acquires operation information related to a driving operation by a vehicle driver. The diagnosis unit diagnoses the driving skill of the driver based on the operation information acquired by the acquisition unit. The determination unit determines based on the operation information whether or not a preliminary operation corresponding to the caution point has been performed before passing through the caution point where the vehicle needs to travel with caution. A generation part produces | generates the diagnostic result information which excluded the diagnostic result of the said diagnostic part with respect to danger avoidance operation in the said caution point, when it determines with the said preliminary operation having been performed by the said determination part.

  ADVANTAGE OF THE INVENTION According to this invention, the diagnostic accuracy of a driving skill can be improved.

FIG. 1 is a diagram showing an outline of a driving diagnosis method. FIG. 2 is a block diagram of the driving diagnosis apparatus. FIG. 3 is a diagram illustrating a specific example of attention point information. FIG. 4 is a diagram illustrating a specific example of the preliminary operation determination process. FIG. 5 is a diagram illustrating a specific example of the diagnosis process. FIG. 6 is a diagram illustrating a specific example of generation processing of diagnosis result information. FIG. 7 is a diagram illustrating a specific example of diagnosis result information. FIG. 8 is a flowchart showing a processing procedure executed by the driving diagnosis apparatus.

  Hereinafter, a driving diagnosis apparatus and a driving diagnosis method according to an embodiment will be described in detail with reference to the accompanying drawings. In addition, this invention is not limited by embodiment shown below.

  First, an outline of the driving diagnosis method according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an outline of a driving diagnosis method. The driving diagnosis method is executed by the driving diagnosis apparatus 1 shown in FIG.

  As shown in FIG. 1, the driving diagnosis device 1 is mounted on a vehicle C. Then, the driving diagnosis device 1 acquires operation information indicating a driving operation by the driver from various sensors mounted on the vehicle C, and diagnoses the driving skill of the driver of the vehicle C based on the operation information. In addition to the operation information, the driving diagnosis apparatus 1 acquires driver information related to the behavior of the driver while driving, object information related to objects around the vehicle C, and the like, and the driver based on the driver information and object information. You can also diagnose your driving skills. The driver information is, for example, driver's line-of-sight information or posture information. Hereinafter, information including operation information, driver information, and object information is referred to as vehicle information.

  Here, in the prior art, when the driver performs a risk avoidance operation such as sudden braking or sudden steering, the score as a diagnosis result is deducted regardless of the driving operation before the risk avoidance operation.

  That is, in the prior art, diagnosis is performed individually for time-series driving operations regardless of the preceding and following driving operations. For this reason, in the conventional technology, even if the driver is traveling with great care, the score is deducted from the risk avoiding operation even if the driver must perform the risk avoiding operation.

  Therefore, in the driving diagnosis method according to the embodiment, the driving skill is comprehensively diagnosed including the driving operations before and after the danger avoiding operation. That is, in the driving diagnosis method according to the embodiment, when the driver performs the risk avoidance operation after performing the preliminary operation, the diagnosis result for the risk avoidance operation is excluded.

  Specifically, in the driving diagnosis method according to the embodiment, the presence / absence of a preliminary operation corresponding to the caution point Zd is determined based on the operation information at the preparation point Zp before the caution point Zd that needs to be traveled with caution. To do.

  Here, the caution point Zd is a so-called near-miss point, and position information, type, and the like for each caution point Zd are registered in the database. In the driving diagnosis method according to the embodiment, it is possible to determine whether or not the vehicle C has traveled through the attention point Zd and the preparation point Zp based on the database.

  The preliminary operation is a driving operation required when passing through the preparation point Zp located in front of the attention point Zd, and differs depending on, for example, the type of the attention point Zd. For example, when the caution point Zd is an intersection with poor visibility, preliminary operations such as deceleration and surrounding confirmation are required at the preparation point Zp. If the caution point Zd is a narrow road, slow driving (for example, deceleration) is performed at the preparation point Zp. ) And other preliminary operations are required.

  In the driving diagnosis method according to the embodiment, when the driver performs the preliminary operation at the preparation point Zp and then performs the risk avoidance operation at the attention point Zd, the diagnosis result excludes the diagnosis result for the risk avoidance operation. Generate information.

  In other words, in the driving diagnosis method according to the embodiment, the diagnosis result of the driving skill diagnosis for the risk avoidance operation is obtained from the diagnosis result information when the risk avoidance operation is performed even though the driver travels with caution. exclude.

  As described above, in the driving diagnosis method according to the embodiment, the diagnosis result information is generated based on the driving operation at the preparation point Zp as well as the attention point Zd. As a result, the diagnosis result information includes only the diagnosis result for the driver's pure driving skill.

  That is, in the driving diagnosis method according to the embodiment, it is possible to diagnose a driving skill that excludes the influence of external factors, and to improve the driving skill diagnosis accuracy.

  Next, the configuration of the driving diagnosis apparatus 1 according to the embodiment will be described with reference to FIG. FIG. 2 is a block diagram of the driving diagnosis apparatus 1. As shown in FIG. 2, the driving diagnosis device 1 is connected to a GPS (Global Positioning System) 6 and an obstacle detection device 7.

  Position information indicating the current location of the vehicle C is acquired from the GPS 6 and output to the driving diagnosis apparatus 1. The obstacle detection device 7 detects a target such as an obstacle existing around the vehicle C based on information input from, for example, a camera that images the surroundings of the vehicle C or a radar device that scans the vehicles C. To do. The obstacle detection device 7 outputs target information including the position, angle, speed, and type of the detected obstacle to the driving diagnosis device 1. The type indicates other vehicles, pedestrians, walls, and the like.

  The driving diagnosis device 1 also includes an accelerator opening sensor Sc1 that detects the accelerator opening of the vehicle C, a vehicle speed sensor Sc2 that detects the vehicle speed of the vehicle C, a line-of-sight detection sensor Sc3 that detects the driver's line of sight, and a brake for the vehicle C. Are connected to a brake sensor Sc4 that detects the operating state of the vehicle and a steering angle sensor Sc5 that detects the steering angle of the vehicle C. And the driving diagnosis apparatus 1 can acquire operation information and the like related to the driving operation by the driver of the vehicle C from various sensors.

  As shown in FIG. 2, the driving diagnosis apparatus 1 includes a control unit 2 and a storage unit 3. The control unit 2 includes an acquisition unit 21, a determination unit 22, a diagnosis unit 23, and a generation unit 24.

  The control unit 2 includes, for example, a computer having a central processing unit (CPU), a read only memory (ROM), a random access memory (RAM), a hard disk drive (HDD), an input / output port, and various circuits.

  The CPU of the computer functions as the acquisition unit 21, the determination unit 22, the diagnosis unit 23, and the generation unit 24 of the control unit 2 by reading and executing a program stored in the ROM, for example.

  In addition, at least one or all of the acquisition unit 21, the determination unit 22, the diagnosis unit 23, and the generation unit 24 of the control unit 2 are implemented by hardware such as ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array). It can also be configured.

  The storage unit 3 corresponds to, for example, a RAM or an HDD. The RAM and HDD can store attention point information 31, diagnostic reference information 32, diagnostic history information 33, and various program information. Note that the driving diagnosis apparatus 1 may acquire the above-described program and various information via another computer or a portable recording medium connected via a wired or wireless network.

  The acquisition unit 21 of the control unit 2 acquires operation information related to the driving operation by the driver of the vehicle C from various sensors. In addition, the acquisition unit 21 generates vehicle information in which position information or target information input from the GPS 6 or the obstacle detection device 7 is associated with operation information, and outputs the vehicle information to the determination unit 22 and the diagnosis unit 23.

  The determination unit 22 determines whether or not a preliminary operation corresponding to the caution point Zd has been performed before passing through the caution point Zd that the vehicle C needs to travel with caution.

  Here, the specific example of the process by the determination part 22 is demonstrated using FIG. 3 and FIG. FIG. 3 is a diagram showing a specific example of the caution point information 31, and FIG. 4 is a diagram showing a specific example of the preliminary operation determination process.

  As shown in FIG. 3, the caution point information 31 is information in which the position, type, danger level, and required value of the caution point Zd are associated with each other. The position indicates the position of the attention point Zd, and the preparation point Zp is present in the vicinity of the position.

  The type indicates the type of the attention point Zd. Such types include intersections, sharp curves, T-junctions, and pedestrian crossings. The danger level is an index indicating the degree of danger for each caution point Zd, and is determined by, for example, the number of occurrences of accidents for each caution point Zd.

  The required value indicates an operation required as a preparation operation before passing the attention point Zd. For example, the higher the danger level, the more the driver sets a deceleration at the preparation point Zp. In FIG. 3, the lower the danger level value, the higher the danger level.

  The determination unit 22 first determines whether the vehicle C passes the caution point Zd based on the caution point information 31 and the position information of the vehicle C. When the determination unit 22 determines that the vehicle C passes the attention point Zd, the determination unit 22 determines whether or not the required value is satisfied at the preparation point Zp located before the attention point Zd.

  The determination unit 22 predicts passing of the caution point Zd based on the caution point information 31 and the position information of the vehicle C, and information indicating that the caution point Zd is passed when it is predicted to pass the caution point Zd. May be output to the display device 5 via the generator 24 (see FIG. 2). The display device 5 can prompt the user to call attention by notifying the user of such information. Thereby, the danger avoidance operation and accident in the caution point Zd can be suppressed.

  Although FIG. 3 shows the case where the required value prompts deceleration according to the danger level set for each caution point Zd, the present invention is not limited to this. For example, the required value may request an operation in which a plurality of items including a steering angle, a driver's line of sight, a foot position, and the like are combined in addition to deceleration.

  The foot position is an operation for preparing a brake operation in advance by placing a foot on a brake pedal, for example. Such a foot position may be detected, for example, by a pressure applied to the brake pedal, or may be detected by a camera image that captures the foot position.

  Next, preliminary operation determination processing by the determination unit 22 will be described with reference to FIG. In FIG. 4, the vertical axis indicates the vehicle speed, and the horizontal axis indicates the time. Moreover, it shows that the vehicle C is driving the preparation point Zp between the time t1 and t3.

  As illustrated in FIG. 4, the determination unit 22 determines that the driver has performed a preliminary operation when the vehicle speed is equal to or less than the required value Vr at the preparation point Zp. In the example shown in FIG. 4, since the vehicle speed is equal to or less than the required value Vr at time t2, the determination unit 22 determines that the driver has performed a preliminary operation at time t2. The required value Vr is a value set according to the caution point Zd based on the caution point information 31 described above.

  When the determination unit 22 determines that a preliminary operation has been performed, the determination unit 22 adds a determination flag indicating that the preliminary operation has been performed on the vehicle information input from the acquisition unit 21 and outputs the vehicle information to the generation unit 24. The determination flag will be described later with reference to FIG.

  Moreover, although the case where the determination unit 22 determines whether or not the preliminary operation has been performed based on the vehicle speed is illustrated here, the present invention is not limited to this. That is, for example, the determination unit 22 can also determine whether or not a preliminary operation has been performed comprehensively based on the change in the steering angle, the driver's line of sight, and the like in addition to the vehicle speed.

  For example, when the caution point Zd is a sharp curve, the determination unit 22 performs a preliminary operation according to whether or not the driver is paying attention to a place where the driver should be careful in addition to deceleration at the preparation point Zp. It can be determined whether or not.

  The determination unit 22 can also determine the preliminary operation based on the transition of the conversation amount by the driver. For example, when the driver interrupts the conversation, the determination unit 22 can determine whether or not the preliminary operation is comprehensively performed including the interruption of the conversation, assuming that the concentration on driving increases.

  As described above, the determination unit 22 can determine whether or not a preliminary operation has been performed based on the determination item set for each attention point Zd. That is, the diagnostic accuracy of the driving skill can be improved by setting the preliminary operation determination item for each attention point Zd.

  Returning to the description of FIG. 2, the diagnosis unit 23 will be described. The diagnosis unit 23 diagnoses the driving skill of the driver based on the operation information input from the acquisition unit 21 and outputs the diagnosis result to the generation unit 24.

  For example, the diagnosis unit 23 diagnoses the driving skill of the driver based on the diagnosis reference information 32 stored in the storage unit 3. The diagnostic criteria information 32 is, for example, an operation that serves as a model for each diagnostic item, with diagnostic items set for each type of road (intersection, expressway, etc.).

  The diagnostic criteria information 32 includes diagnostic criteria for preliminary operations and diagnostic criteria for danger avoidance operations. That is, the diagnosis unit 23 can also diagnose the driving skill of the preliminary operation or the danger avoidance operation.

  Here, a specific example of the diagnosis process by the diagnosis unit 23 will be described with reference to FIG. FIG. 5 is a diagram illustrating a specific example of the diagnosis process. FIG. 5 shows a case where the driver suddenly brakes as a danger avoidance operation at the caution point Zd. In FIG. 5, the case where the diagnosis unit 23 diagnoses the driving skill based on the vehicle speed will be described as an example.

  In FIG. 5, the actual vehicle speed transition of the vehicle C (hereinafter referred to as an actual measurement value Vm) is indicated by a solid line, and an ideal value Vi that is a diagnostic criterion for sudden braking is indicated by a broken line. The ideal value Vi is set to a value that varies depending on the vehicle speed before deceleration of the vehicle C, the distance to the obstacle, and the like.

  As shown in FIG. 5, the diagnosis unit 23 diagnoses the driving skill for the danger avoidance operation at the attention point Zd based on the actual measurement value Vm and the ideal value Vi. Specifically, the diagnosis unit 23 calculates the degree of divergence between the actual measurement value Vm and the ideal value Vi (step S11).

  And the diagnostic part 23 calculates a score according to this divergence degree (step S12). For example, the diagnosis unit 23 calculates the score higher as the deviation degree is lower, and calculates the score lower as the deviation degree is higher.

  The diagnosis unit 23 can also calculate a score for vehicle information other than the vehicle speed based on the degree of deviation from the corresponding ideal value. That is, the diagnosis unit 23 can also comprehensively diagnose the driving skill by combining the timing of depressing the accelerator pedal and the brake pedal, the behavior of the line of sight, the steering angle, and the like.

  Here, although the case where the diagnosis unit 23 calculates the score for the sudden braking is shown, the present invention is not limited to this. In the diagnostic reference information 32, an ideal value is defined for each diagnostic item, and the diagnosis unit 23 can also diagnose the driving skill by comparing the actual value and the ideal value for each diagnostic item. Such diagnostic items include driving skills when accelerating and driving skills when driving on a curve.

  Further, when the diagnosis unit 23 detects a risk avoidance operation such as a sudden brake or a sudden turn, the diagnosis unit 23 adds a risk avoidance flag indicating the risk avoidance operation to the diagnosis result and outputs it to the generation unit 24.

  Specifically, the diagnosis unit 23, for example, suddenly brakes when the fluctuation amount of the vehicle speed per unit time decreases beyond a threshold value or when the brake operation amount per unit time changes beyond the threshold value. Can be detected. The diagnosis unit 23 can also detect a sudden turn when the amount of change in the steering angle per unit time has changed beyond a threshold value. The danger avoidance flag will be described later with reference to FIG.

  Further, the diagnosis unit 23 may diagnose the driving skill based on the transition of the distance between the vehicle C and the obstacle to avoid the collision. For example, the diagnosis unit 23 can calculate the score according to the distance to the obstacle at the timing of applying the brake, or can calculate the score according to the distance to the final obstacle when avoiding. . The information regarding the distance is input from the obstacle detection device 7 mounted on the vehicle C.

  Returning to the description of FIG. 2, the generation unit 24 will be described. When the determination unit 22 determines that the preliminary operation has been performed, the generation unit 24 generates diagnosis result information excluding the diagnosis result of the diagnosis unit 23 for the danger avoidance operation at the attention point Zd.

  Here, generation processing of diagnostic result information by the generation unit 24 will be described with reference to FIGS. 6 and 7. FIG. 6 is a diagram illustrating a specific example of generation processing of diagnosis result information. FIG. 6 shows each flag associated with data input from the determination unit 22 and the diagnosis unit 23 to the generation unit 24.

  Specifically, the determination flag shown in A of FIG. 6 is turned from OFF to ON when the determination unit 22 determines that the preliminary operation is performed at the preparation point Zp, and is ON until the vehicle C passes the caution point Zd. State is maintained. Further, the crisis avoidance flag shown in B of FIG. 6 is in the ON state while the diagnosis unit 23 detects the danger avoidance operation.

  When both the determination flag and the danger avoidance flag are in the ON state, the generation unit 24 generates diagnosis result information excluding the diagnosis result for the danger avoidance operation at the attention point Zd.

  In other words, the generation unit 24 treats the diagnosis result as an unavoidable risk avoidance operation when the driver performs a preliminary operation at the preparation point Zp and then performs a risk avoidance operation at the attention point Zd.

  As described above, the generation unit 24 can generate pure diagnosis result information of the driver himself / herself by excluding the diagnosis result for the unavoidable danger avoidance operation.

  In addition, when the driver performs the risk avoidance operation without performing the preliminary operation, the generation unit 24 generates the diagnosis result information including the diagnosis result without excluding the diagnosis result for the risk avoidance operation.

  As described above, the generation unit 24 generates diagnosis result information based on the preliminary operation before the danger avoiding operation. Thereby, diagnostic result information with high diagnostic accuracy for the driver's driving skill can be generated.

  By the way, when both the determination flag and the danger avoidance flag are ON, the generation unit 24 may not exclude the diagnosis result for the emergency avoidance driving depending on the score of the emergency avoidance driving.

  The details of this point will be described with reference to FIG. FIG. 7 is a diagram illustrating a specific example of diagnosis result information. For example, when both the determination flag and the danger avoidance flag are ON, the generation unit 24 checks the score for the emergency avoidance operation.

  Then, as illustrated in FIG. 7, the generation unit 24 diagnoses the risk avoidance operation when the score of each item is equal to or higher than the threshold Th indicated by the broken line in FIG. 7, that is, when the score of the emergency avoidance operation is high. Diagnosis result information including the result can be generated.

  That is, the generation unit 24 can add points to the risk avoidance operation after the preliminary operation, but does not make it a target of deduction.

  Note that the generation unit 24 can rewrite the score to a score that is deducted when the driver performs the risk avoidance operation without performing the preliminary operation, even if the score for the risk avoidance operation is high. That is, the generation unit 24 can change the weighting of the score for the danger avoiding operation depending on whether or not the preliminary operation is performed.

  Further, for example, when the score for the preliminary operation of the driver at the preparation point Zp is higher than the past score, the generation unit 24 can also add bonus points to the score of the preliminary operation. That is, the driving diagnosis apparatus 1 can comprehensively diagnose driving skills including past driving operations.

  In addition, the generation unit 24 can store the generated diagnosis result information in the storage unit 3 as diagnosis history information 33 and can notify the user via the display device 5. Thereby, the user can be urged to improve the driving operation.

  The driving diagnosis apparatus 1 can also transmit the diagnosis history information 33 to a server (not shown) and manage it on the server side. In such a case, the diagnosis result for the excluded danger avoiding operation may be transmitted to the server. For example, the server can generate a near-miss map based on the diagnosis result.

  Next, a processing procedure executed by the driving diagnosis apparatus 1 according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart showing a processing procedure executed by the driving diagnosis apparatus 1. Note that this processing procedure is repeatedly executed by the control unit 2 of the driving diagnosis apparatus 1.

  As shown in FIG. 8, the acquisition unit 21 first acquires operation information and position information (step S101). Subsequently, the diagnosis unit 23 diagnoses the driving skill of the driver based on the operation information (step S102).

  Subsequently, the determination unit 22 determines whether or not the vehicle C has traveled through the caution point Zd (step S103). In this determination, when the vehicle travels through the caution point Zd (step S103, Yes), the determination unit 22 determines whether or not there is a preliminary operation at the preparation point Zp (step S104).

  In this determination, when there is a preliminary operation (step S104, Yes), the generation unit 24 determines whether there is a danger avoidance operation at the caution point Zd (step S105).

  If there is a danger avoidance operation (step S105, Yes), the generation unit 24 excludes the diagnosis result for the danger avoidance operation (step S106), generates diagnosis result information (step S107), and performs processing. finish.

  On the other hand, when the vehicle C has not traveled the caution point Zd (No at Step S103), when the preliminary operation has not been performed (No at Step S104), when the danger avoiding operation has not been performed, Step S105, No), the process proceeds to step S107, and the process ends.

  As described above, the driving diagnosis apparatus 1 according to the embodiment includes the acquisition unit 21, the diagnosis unit 23, the determination unit 22, and the generation unit 24. The acquisition unit 21 acquires operation information related to the driving operation by the driver of the vehicle C. The diagnosis unit 23 diagnoses the driving skill of the driver based on the operation information acquired by the acquisition unit 21. The determination unit 22 determines whether or not a preliminary operation corresponding to the caution point Zd has been performed before passing through the caution point Zd where the vehicle C needs to travel with caution. When the determination unit 22 determines that the preliminary operation has been performed, the generation unit 24 generates diagnosis result information excluding the diagnosis result of the diagnosis unit 23 for the danger avoidance operation at the attention point Zd. Therefore, according to the driving diagnosis apparatus 1 according to the embodiment, driving skill diagnosis accuracy can be improved.

  By the way, although embodiment mentioned above demonstrated the case where attention point information 31 was memorized beforehand to storage part 3, driving diagnostic device 1 can also update attention point information 31.

  Specifically, the driving diagnosis apparatus 1 can set a point where the driver has performed the danger avoiding operation many times as the caution point Zd. That is, the driving diagnosis apparatus 1 can set the caution point Zd for each driver or vehicle C.

  Further, the caution point Zd is changed according to, for example, the weather or the time zone. Specifically, for example, when it is raining, the driving diagnosis apparatus 1 sets a point where flooding is likely to occur as the caution point Zd, or sets a school route or the like as the caution point Zd according to the time zone. You can also

  Further, for example, instead of the driving diagnosis device 1, a driving diagnosis server that performs driving diagnosis may be provided. In such a case, for example, the driving diagnosis server can receive the above-described operation information from the in-vehicle device that acquires the operation information, and can diagnose the driving skill of the driver based on the operation information.

  In the above-described embodiment, the case where the diagnosis result for the danger avoidance operation at the attention point Zd is excluded when the preliminary operation is performed at the preparation point Zp has been described, but the present invention is not limited to this. That is, the diagnostic criteria for the risk avoidance operation after the preliminary operation may be changed.

  Specifically, for example, the driving diagnosis apparatus 1 may make the diagnosis criteria for the risk avoidance operation when the preliminary operation is not performed stricter than the diagnosis criteria for the risk avoidance operation after the preliminary operation.

  Further effects and modifications can be easily derived by those skilled in the art. Thus, the broader aspects of the present invention are not limited to the specific details and representative embodiments shown and described above. Accordingly, various modifications can be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and their equivalents.

DESCRIPTION OF SYMBOLS 1 Driving diagnosis apparatus 21 Acquisition part 22 Judgment part 23 Diagnosis part 24 Generation part C Vehicle Zd Caution point Zp Preparation point

Claims (5)

An acquisition unit for acquiring operation information related to a driving operation by a vehicle driver;
A diagnosis unit that diagnoses the driving skill of the driver based on the operation information acquired by the acquisition unit;
A determination unit that determines, based on the operation information, whether or not a preliminary operation corresponding to the caution point has been performed before passing the caution point where the vehicle needs to travel with caution;
A generating unit that generates diagnostic result information excluding the diagnostic result of the diagnostic unit for the risk avoidance operation at the caution point when it is determined by the determination unit that the preliminary operation has been performed. Diagnostic device. The determination unit
The driving diagnosis apparatus according to claim 1, wherein it is determined whether or not the preliminary operation is performed based on a determination criterion corresponding to a danger level set for each caution point. The determination unit
The driving diagnosis apparatus according to claim 1, wherein it is determined whether or not the preliminary operation has been performed based on a determination item set for each caution point. The generator is
The diagnosis result information including the diagnosis result for the danger avoidance operation at the attention point is generated when the diagnosis unit diagnoses that the score for the danger avoidance operation is equal to or greater than a threshold value. The driving diagnosis apparatus according to 2 or 3. An acquisition step of acquiring operation information related to a driving operation by a vehicle driver;
A diagnosis step of diagnosing the driving skill of the driver based on the operation information acquired by the acquisition step;
A determination step of determining, based on the operation information, whether or not a preliminary operation corresponding to the caution point has been performed before passing the caution point where the vehicle needs to travel with caution;
A generating step of generating diagnostic result information excluding the diagnostic result of the diagnostic step for the risk avoidance operation at the attention point when it is determined that the preliminary operation is performed by the determining step. Diagnosis method.

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