Operation evaluation device, operation evaluation method, and operation evaluation program

Abstract

To provide a driving evaluation device capable of evaluating driving of a driver, including risk prediction skill of the driver for obstacles not visible from the driver.SOLUTION: A driving evaluation device is provided, comprising an interface 1 configured to acquire vehicle data indicative of a sudden vehicle movement such as sudden acceleration and deceleration and vital data indicative of the psychological state of a driver, a detection unit 3 configured to detect the psychological state of the driver during a sudden movement based on the acquired vehicle data and vital data, and an evaluation unit 4 configured to make evaluation on driving of the driver based on the detected psychological state.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] This application belongs to the technical field of driving evaluation devices, driving evaluation methods, and driving evaluation programs. More specifically, for example, it belongs to the technical field of driving evaluation devices and driving evaluation methods for evaluating the driving of a driver who drives a moving body such as a vehicle, and programs for such driving evaluation devices.

Background Art

[0002] In recent years, as one of the activities for promoting safe driving of vehicles, for the purpose of making a driver aware of risk factors that the driver is not aware of, the driving of the driver is objectively evaluated, and the evaluation result is presented to the driver. As a document showing the prior art for this, for example, Patent Document 1 below can be cited.

[0003] In the prior art disclosed in this Patent Document 1, when there is a correlation between the degree of danger based on the surrounding situation outside the vehicle photographed by an in-vehicle camera that photographs the front of the vehicle and the degree of tension based on the heart rate of the driver of the vehicle equipped with the in-vehicle camera, it is configured to evaluate that the driver can appropriately recognize the surrounding situation.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, the technology disclosed in Patent Document 1 has the problem that, while it is possible to evaluate whether the driver is aware of a hazardous obstacle if such an obstacle is visible in the surrounding environment captured by an in-vehicle camera that photographs the area in front of the vehicle, it is not possible to evaluate whether the driver is aware of a hazardous obstacle that is not within the range of the in-vehicle camera (i.e., cannot be seen by the driver).

[0006] Therefore, this application has been made in view of the above-mentioned problems. One example of a problem that one aspect of the present invention aims to solve is to provide a driving evaluation device, a driving evaluation method, and a program for said driving evaluation device that can evaluate a driver's driving, including the driver's prediction of danger to obstacles that the driver cannot see. Another example of a problem that another aspect of the present invention aims to solve is to provide a driving evaluation device, a driving evaluation method, and a program for said driving evaluation device that can evaluate a driver's driving based on the driver's psychological state when a sudden movement of a moving object is detected. It should be noted that the description of these problems does not preclude the existence of other problems, and one aspect of the present invention solves at least one of the problems described above. It should be noted that it is possible to extract other problems from the description in the specification, drawings, claims, etc. [Means for solving the problem]

[0007] To solve the above problems, the invention described in claim 1 includes: a means for acquiring sudden behavior information that indicates a sudden behavior of a moving body that exceeds a preset sudden behavior criterion; a means for acquiring state information that indicates the psychological state of the driver of the moving body; a means for detecting the psychological state of the driver at the time of the sudden behavior based on the acquired sudden behavior information and state information; and a means for detecting the driver's driving based on the detected psychological state. Risk prediction ability in It comprises an evaluation means for performing an evaluation related to the above.

[0008] To solve the above problems, Claim 7The invention described herein is a driving evaluation method performed in a driving evaluation device comprising: a means for acquiring sudden behavior information; a means for acquiring state information; a means for detecting; and an evaluation means, the method comprising: a sudden behavior information acquisition step of acquiring sudden behavior information indicating a sudden behavior of a moving body that exceeds a preset sudden behavior criterion using the sudden behavior information acquisition means; a state information acquisition step of acquiring state information indicating the psychological state of the driver of the moving body using the state information acquisition means; a detection step of detecting the driver's psychological state at the time of the sudden behavior based on the acquired sudden behavior information and state information using the detection means; and a driving evaluation method of the driver based on the detected psychological state using the evaluation means. Risk prediction ability in This includes an evaluation process that conducts an evaluation related to the above.

[0009] To solve the above problems, Claim 8 The invention described above provides a computer with: a means for acquiring sudden behavior information that indicates sudden behavior of a moving body exceeding a preset sudden behavior criterion; a means for acquiring state information that indicates the psychological state of the driver of the moving body; a means for detecting the psychological state of the driver at the time of the sudden behavior based on the acquired sudden behavior information and state information; and a means for detecting the driver's driving based on the detected psychological state. Risk prediction ability in It will function as an evaluation tool for conducting evaluations related to [the subject]. [Brief explanation of the drawing]

[0010] [Figure 1] This is a block diagram showing the schematic configuration of the operational evaluation device according to the embodiment. [Figure 2] This is a block diagram showing the overview configuration of the operation evaluation system of the first embodiment. [Figure 3] The first embodiment is a block diagram showing the general configuration of terminal devices and the like that constitute the operation evaluation system, (a) is a block diagram showing the general configuration of the terminal device, (b) is a block diagram showing the general configuration of the server device that constitutes the operation evaluation system of the first embodiment, and (c) is a diagram showing an example of evaluation data from the first embodiment. [Figure 4] This is a flowchart showing the operational evaluation process of the first embodiment. [Figure 5] The following are block diagrams showing the general configuration of the server device constituting the operation evaluation system of the second embodiment; (a) is the block diagram, and (b) is a diagram showing an example of evaluation data of the second embodiment. [Figure 6] This flowchart shows the operational evaluation process for the second embodiment. [Modes for carrying out the invention]

[0011] Next, an embodiment for carrying out the present invention will be described with reference to Figure 1. Figure 1 is a block diagram showing the schematic configuration of the operation evaluation device of the embodiment.

[0012] As shown in Figure 1, the driving evaluation device S of the embodiment is configured to include a means for acquiring sudden behavior information 1, a means for acquiring state information 2, a detection means 3, and an evaluation means 4.

[0013] In this configuration, the sudden behavior information acquisition means 1 acquires sudden behavior information indicating that a moving object such as a vehicle is exhibiting sudden behavior that exceeds a preset sudden behavior criterion. In this case, the sudden behavior is, for example, a sudden change of direction, sudden acceleration, or sudden deceleration.

[0014] Meanwhile, the state information acquisition means 2 acquires state information indicating the psychological state of the driver of the mobile vehicle. This state information indicating the psychological state is biometric information known as vital data, and specifically includes, for example, heart rate data indicating the driver's heart rate, blood pressure data indicating the driver's blood pressure, and data indicating whether or not the driver is sweating. In addition to the heart rate data mentioned above, this state information may also include image data obtained by capturing the driver's face (e.g., an expression of surprise) with an in-vehicle camera mounted on the mobile vehicle, and audio data obtained by collecting the driver's voice (e.g., a surprised voice) with a microphone mounted on the mobile vehicle.

[0015] Then, based on the sudden movement information acquired by the sudden movement information acquisition means 1 and the state information acquired by the state information acquisition means 2, the detection means 3 detects the mental state of the driver during the sudden movement of the moving body. The mental state in this case refers to, for example, a surprised mental state such that the heart rate increases.

[0016] Based on these, the evaluation means 4 evaluates the driving of the driver based on the mental state detected by the detection means 3. At this time, examples of the items for the evaluation related to driving include, for example, (i) eco-driving level, (ii) safe-driving level, (iii) risk prediction level, and (iv) comprehensive evaluation, etc.

[0017] Here, the eco-driving level is an item for evaluating that the vehicle is continuously driving at a constant speed without sudden acceleration or deceleration. The safe-driving level is an item for evaluating that the driver complies with the laws and regulations related to driving and does not make unnecessary speed changes, unnecessary lane changes, or swerving. Furthermore, the risk prediction level is an item for evaluating that the hidden (i.e., not visible to the driver) risks in driving can be predicted. Finally, the comprehensive evaluation is an item for comprehensively evaluating the driving of the driver by combining the eco-driving level, the safe-driving level, and the risk prediction level.

[0018] As described above, according to the operation of the driving evaluation device S of the embodiment, the driving of the driver is evaluated based on the mental state of the driver during the sudden movement of the moving body. Therefore, the driving of the driver can be evaluated including the driver's risk prediction for obstacles that the driver cannot visually recognize.

Example

[0019] Next, specific examples corresponding to the above-described embodiment will be described based on the drawings. Each of the examples described below is an example when the embodiment is applied to a driving evaluation system that presents an evaluation related to the driving of a driver of a vehicle as an example of a moving body to the driver.

[0020] (A) First Example First, the first embodiment corresponding to the embodiment will be described using Figures 2 to 4. Figure 2 is a block diagram showing the general configuration of the operation evaluation system of the first embodiment, Figure 3 is a block diagram showing the general configuration of the terminal device constituting the operation evaluation system of the first embodiment, Figure 4 is a block diagram showing the general configuration of the server device constituting the operation evaluation system of the first embodiment, and Figure 5 is a flowchart showing the operation evaluation process of the first embodiment. In Figures 2 and 3, the same component numbers as those used for each component in the operation evaluation device S of the embodiment shown in Figure 1 are used for each component in the embodiment corresponding to each component in the operation evaluation device S.

[0021] (I) Overall configuration of the operation evaluation system of the first embodiment First, the overall configuration of the operation evaluation system of the first embodiment will be explained using Figure 2.

[0022] As shown in Figure 2, the driving evaluation system SS of the first embodiment consists of terminal devices T1 to Tn, each moving with a vehicle M1 to Mn (where n is a natural number; the same applies hereinafter), a server device SV that is, for example, fixedly installed, and a network NW such as the Internet that connects the terminal devices T1 to Tn and the server device SV to enable data exchange. In this case, the terminal devices T1 to Tn are each implemented as, for example, a navigation device mounted on the corresponding vehicle M1 to Mn, or as, for example, a smartphone carried by the driver of the vehicle M1 to Mn. In the following description, when describing matters common to vehicles M1 to Mn, they will be collectively referred to as "vehicle M". Similarly, when describing matters common to terminal devices T1 to Tn, they will be collectively referred to as "terminal device T".

[0023] With the above configuration, the server device SV of the driving evaluation system SS acquires terminal device data from each terminal device T that is installed in a vehicle M. This data includes vital data of the driver, such as heart rate data indicating the psychological state of the driver of that vehicle M, as well as vehicle data of the vehicle M, such as acceleration data indicating the state of direction changes or acceleration / deceleration in the vehicle M, and ambient data indicating the conditions around the vehicle M. Subsequently, the server device SV generates evaluation data indicating an evaluation of the driving of each driver of each vehicle M based on the acquired terminal device data. The server device SV then individually provides the generated evaluation data to each terminal device T of the vehicle M being driven by that driver, and presents it to the driver via each terminal device T.

[0024] (II) Detailed configuration and operation of the terminal device of the first embodiment Next, the detailed configuration and operation of each terminal device T that constitutes the operation evaluation system SS of the first embodiment will be explained using Figure 3(a).

[0025] As shown in Figure 3(a), each terminal device T in the first embodiment consists of a processing unit 20 comprising a CPU (Central Processing Unit), ROM (Read Only Memory), and RAM (Random Access Memory), a non-volatile recording unit 21 comprising an HDD (Hard Disk Drive) or SSD (Solid State Drive), an operation unit 22 comprising operation buttons or a remote control, a vital sensor 23, a vehicle sensor 24, a display 25 comprising a liquid crystal display, a speaker 26, an interface 27, and an external sensor 28.

[0026] In this case, the vital sensor 23 is, for example, a heart rate sensor that is installed on the steering wheel of the vehicle M on which the terminal device T is mounted, and detects the driver's heart rate when the driver of the vehicle grips the steering wheel and outputs heart rate data as vital data. The vital sensor 23 may be installed on the seat or seat belt of the vehicle M, or it may take the form of a wearable device worn by the driver. On the other hand, the vehicle sensor 24 is composed of an in-vehicle camera that outputs image data obtained by capturing the driver's face, a microphone that outputs audio data obtained by collecting the driver's voice, a steering wheel operation sensor and an angular velocity sensor that output steering wheel operation data indicating the amount and direction of steering wheel operation, respectively, and an acceleration sensor that detects the magnitude and direction of acceleration occurring in the vehicle M and outputs it as acceleration data. On the other hand, the external sensor 28 is a sensor that detects the surrounding conditions of the vehicle M on which the terminal device T is mounted and outputs surrounding conditions data, and is specifically composed of an ultrasonic sensor or a LiDAR (Light (Laser Imaging) Detection and Ranging) sensor that detects people, objects, etc. in the surroundings. The external sensor 28 may include an external camera whose imaging range covers the area around the vehicle M. Furthermore, the vital data is composed of at least one of the heart rate data, image data, and audio data, and the vehicle data is composed of at least one of the steering data, acceleration data, and surrounding condition data.

[0027] In the above configuration, the interface 27 controls the exchange of data between the processing unit 20 and the server device SV via the network NW, under the control of the processing unit 20. Next, the vital sensor 23, vehicle sensor 24, and external sensor 28 generate the heart rate data, image data, and surrounding condition data at preset timings or continuously, and output them to the processing unit 20.

[0028] The processing unit 20 then outputs the terminal device data TD (see Figure 4 and its related explanation), which includes the vital data and vehicle data, to the server device SV via the interface 27 and the network NW, using a pre-configured data format that includes terminal identification data for identifying the terminal device T equipped with the processing unit 20 from other terminal devices T, as processing to be handled by the terminal device T in the driving evaluation process of the first embodiment. Preferably, the transmission of the terminal device data TD to the server device SV is performed, for example, at pre-configured transmission intervals.

[0029] On the other hand, when the processing unit 20 receives evaluation data SC (see Figures 3(c) and 4 and their related descriptions) corresponding to the transmitted terminal device data TD from the server device SV via the network NW and interface 27, it outputs data of the driving evaluation (i.e., the evaluation of the driver's driving of the vehicle M transmitted from the server device SV based on the terminal device data TD) corresponding to the evaluation data SC to the display 25 or speaker 26. As a result, the display 25 and speaker 26, under the control of the processing unit 20, present the driving evaluation to the driver by displaying characters indicating the driving evaluation or outputting sound (i.e., emitting sound) corresponding to the driving evaluation. In addition, the display 25 and speaker 26, under the control of the processing unit 20, display characters or images and emit sound as required by the functions of the terminal device T.

[0030] Furthermore, in the series of operations described above, the recording unit 21 pre-records a program corresponding to the processing to be performed by the terminal device T, and temporarily records the data necessary for said processing, outputting it to the processing unit 20 as needed. The processing unit 20 then executes the processing to be performed by the terminal device T based on the program. At this time, the operation unit 22 generates an operation signal corresponding to an operation performed by the driver or a passenger of another vehicle M using the operation unit 22 and outputs it to the processing unit 20. As a result, the processing unit 20 executes the processing to be performed by the terminal device T based on the operation signal.

[0031] (III) Detailed configuration and operation of the server device of the first embodiment Next, the detailed configuration and operation of the server device SV, which constitutes the operation evaluation system SS of the first embodiment, will be explained using Figures 3(b) and 3(c).

[0032] In other words, the server device SV of the first embodiment, as shown in Figure 3(b), is composed of a processing unit 10 consisting of a CPU, ROM, RAM, etc., a non-volatile recording unit 11 consisting of an HDD or SSD, an interface 1, an operation unit 12 consisting of a keyboard and mouse, etc., and a display 13 consisting of a liquid crystal display, etc. In this case, the recording unit 11 corresponds to an example of the "recording means" of the present application.

[0033] Furthermore, the processing unit 10 is composed of a detection unit 3 and an evaluation unit 4. In this case, the detection unit 3 and the evaluation unit 4 may be realized by hardware logic circuits such as the CPU that constitute the processing unit 10, or they may be realized in software by the CPU reading and executing a program from the recording unit 11 that corresponds to a flowchart showing the processing to be handled by the server device SV in the operation evaluation processing of the first embodiment described later. Furthermore, interface 1 corresponds to an example of the sudden behavior information acquisition means 1 and an example of the state information acquisition means 2 of the embodiment, respectively, detection unit 3 corresponds to an example of the detection means 3 of the embodiment and an example of the "second detection means" of this application, respectively, and evaluation unit 4 corresponds to an example of the evaluation means 4 of the embodiment. Moreover, as shown by the dashed line in Figure 3(b), interface 1, detection unit 3 and evaluation unit 4 constitute an example of the operation evaluation device S of the embodiment.

[0034] In the above configuration, as illustrated in Figure 3(c), the recording unit 11 non-volatilely records evaluation data SC1 to SCn of the first embodiment, corresponding to each terminal device T, as the above-mentioned driving evaluation of the driver of the vehicle M equipped with the terminal device T. In the following description, when describing common matters concerning evaluation data SC1 to SCn, they will be collectively referred to as "evaluation data SC". One evaluation data SC consists of eco-driving score data S1, safe driving score data S2, overall score data S3, and hazard prediction score data S4, as shown in Figure 3(c). In this case, the eco-driving score is a score that evaluates whether the driver of the vehicle M being evaluated has not made any sudden acceleration or deceleration and that the vehicle M has continued to drive at a constant speed. For example, the higher the eco-driving score, the more frequent the constant-speed driving without sudden acceleration or deceleration is. Furthermore, the safe driving score is an item that evaluates whether the driver complies with the law and does not make unnecessary speed changes, lane changes, or weaving. For example, a higher safe driving score indicates that unnecessary speed changes, etc., occur less frequently. In addition, the hazard prediction score is an item that evaluates whether the driver is able to predict hidden hazards. For example, a higher hazard prediction score indicates that the driver was able to predict hazards in advance. Finally, the overall score is an item that comprehensively evaluates the driver's driving by combining the eco-driving score, safe driving score, and hazard prediction score. For example, a higher overall score indicates a higher overall driving evaluation. The hazard prediction score data S4, etc., included in a single evaluation data SC is updated by the evaluation unit 4, etc., each time the driver evaluation of the vehicle M equipped with the terminal device T is performed as part of the driving evaluation process of the first embodiment, based on the terminal device data TD transmitted from the terminal device T to which the evaluation data SC corresponds. Subsequently, the updated evaluation data SC is transmitted to the corresponding terminal device T.

[0035] On the other hand, interface 1 controls the exchange of data between processing unit 10 and any terminal device T via the network NW under the control of processing unit 10. When terminal device data TD is transmitted from a terminal device T, the detection unit 3 of processing unit 10 detects the driver's psychological state based on the vital data contained in the terminal device data TD. Subsequently, the evaluation unit 4 updates the hazard prediction score data S4, etc., as a result of evaluating the driver's driving based on the detected psychological state and the vehicle data contained in the terminal device data TD. Then, processing unit 10 transmits (replies to) evaluation data SC, including the updated hazard prediction score data S4, etc., to the terminal device T that transmitted the terminal device data TD that formed the basis for the update. At this time, processing unit 10 uses the terminal identification data contained in the terminal device data TD as a clue to identify the terminal device T to which the updated evaluation data SC should be sent.

[0036] Furthermore, in the series of operations described above, the recording unit 11 pre-records programs and the like that correspond to the processing to be performed by the server device SV, in addition to the evaluation data SC, and outputs them to the processing unit 10 as needed. The processing unit 10 then executes the processing to be performed by the server device SV based on the program. At this time, the operation unit 12 generates operation signals that correspond to operations performed by, for example, the administrator of the server device SV, and outputs them to the processing unit 10. As a result, the processing unit 10 executes the processing to be performed by the server device SV based on the operation signals.

[0037] (IV) Regarding the operational evaluation process of the first embodiment Next, the operation evaluation process of the first embodiment, which is performed in the operation evaluation system SS including the server device SV and each terminal device T described above, will be summarized and explained with reference to Figure 4.

[0038] In other words, as shown in Figure 4 (left), when the ACC (Accessory) switch of the vehicle M on which the terminal device T is installed is turned on and the terminal device T is activated (step S1), the processing unit 20 acquires the vital data and vehicle data from the vital sensor 23, etc. (step S2). Subsequently, the processing unit 10 generates the terminal device data TD using the acquired vital data, etc., and transmits it to the server device SV via the network NW, etc. (step S3).

[0039] Next, the processing unit 10 determines whether or not evaluation data SC corresponding to the terminal device data TD transmitted in step S3 has been transmitted from the server device SV (step S4). In the determination in step S4, if the evaluation data SC has not been transmitted from the server device SV (step S4: NO), the processing unit 10 waits for the transmission.

[0040] On the other hand, in the determination in step S4, if the corresponding evaluation data SC is transmitted (step S4: YES), the processing unit 10 presents the driving evaluation corresponding to the transmitted evaluation data SC to the driver of vehicle M using the display 25 or speaker 26 (step S5).

[0041] Subsequently, the processing unit 10 determines whether to terminate the processing that the terminal device T is responsible for in the driving evaluation process of the first embodiment, for example, when the vehicle M equipped with the terminal device T arrives at its destination (step S6). If the determination in step S6 is to continue the processing that the terminal device T is responsible for (step S6: NO), the processing unit 10 returns to step S2 and continues the series of processes described above. On the other hand, if the determination in step S6 is to terminate the processing that the terminal device T is responsible for (step S6: YES), the processing unit 20 terminates the processing as is.

[0042] On the other hand, as shown in Figure 4 (right), when the server device SV is powered on, for example, it monitors the transmission of terminal device data TD from any terminal device T via the network NW, etc. (step S10). If no terminal device data TD is transmitted from any terminal device T during the monitoring in step S10 (step S10: NO), the processing unit 10 of the server device SV proceeds to step S19, which will be described later. On the other hand, if terminal device data TD is transmitted from any terminal device T during the monitoring in step S10 (step S10: YES), the detection unit 3 of the processing unit 10 then analyzes the vital data and vehicle data contained in the transmitted terminal device data TD to detect the driver's heart rate at that time, and also detects whether or not there is any sudden behavior in the vehicle M being driven by that driver (specifically, for example, whether or not there is any sudden change of direction due to a sudden steering operation exceeding a preset operating threshold, sudden acceleration exceeding a preset acceleration threshold, or sudden deceleration exceeding a preset deceleration threshold) (step S11). In conjunction with this, the detection unit 3 detects, based on the vital data and vehicle data, whether or not preparatory actions / operations to avoid or mitigate the sudden behavior were performed by the vehicle M prior to the sudden behavior (step S11).

[0043] In this context, the preparatory actions refer to, for example, the driver's gaze being directed towards an obstacle to the driving of vehicle M, or the direction in which such an obstacle appears, or the driver uttering a warning to pay attention to the obstacle. Here, the obstacle refers to, for example, another vehicle, object, or person that is within a predetermined distance from vehicle M before the sudden movement and whose relative speed with vehicle M exceeds a predetermined speed threshold as it approaches vehicle M. More specifically, this refers to, for example, objects in the vicinity of the vehicle's direction of travel, people or bicycles moving in that vicinity, or people whose legs are visible because they are hidden in the shadow of another parked vehicle. On the other hand, the preparatory actions refer to, for example, the vehicle M's actions to avoid a dangerous event corresponding to the presence of the obstacle, such as slowing down, changing lanes, or moving in the opposite direction from the obstacle. These preparatory actions and preparatory behaviors are detected, in particular, by the analysis of the vehicle data.

[0044] Subsequently, the evaluation unit 4 of the processing unit 10 uses the results of analyzing the terminal device data TD received in step S10 (step S11) to determine whether or not the above-mentioned sudden behavior occurred in the vehicle M (step S12). If the determination in step S12 is that there was no sudden behavior (step S12: NO), the processing unit 10 returns to step S10 and repeats the series of processes. On the other hand, if the determination in step S12 is that there was sudden behavior (step S12: YES), the evaluation unit 4 then determines whether or not the change in heart rate, indicated by the vital data included in the terminal device data TD, within a predetermined time period (for example, a few seconds) including the timing of the sudden behavior, is below a predetermined change threshold (i.e., the driver's psychological state is not more disturbed than a predetermined standard) (step S: 13). The change threshold may be predetermined for each terminal device T (i.e., each driver), or it may be changeable by a predetermined calculation formula or by the driver.

[0045] In the determination in step S13, if the change in heart rate is not below the change threshold (step S13: NO), the sudden movement determined to be "present" in step S12 (see step S12: YES) is considered to have been a sudden movement accompanied by a level of agitation (i.e., surprise) exceeding the driver's pre-set standard, meaning that the driver was unable to predict the dangerous event that caused the sudden movement (for example, a pedestrian suddenly jumping out from behind a parked bus). In this case, the evaluation unit 4 updates the evaluation data SC associated with the terminal device T (in other words, the driver of the vehicle M on which the terminal device T is installed) that was the source of the terminal device data TD received in step S10 (step S14). In step S14, the evaluation unit 4 specifically sets the eco-driving score of the eco-driving score data S1 and the safe driving score of the safe driving score data S2 included in the evaluation data SC to "normal deduction," sets the hazard prediction score of the hazard prediction score data S4 to "no addition" or "normal deduction," and further adjusts the overall score of the overall score data S3 in accordance with the updates of the eco-driving score and safe driving score (step S14). The processing unit 10 then proceeds to the processing of step S18, which will be described later.

[0046] On the other hand, in the determination in step S13, if the change in heart rate is below the change threshold (step S13: YES), the evaluation unit 4 then considers that the sudden behavior determined to be "present" in step S12 (see step S12: YES) was a sudden behavior that occurred without the driver being surprised, such as when the heart rate, as indicated by the vital data, rises above the change threshold, that is, a calm (calm) sudden behavior in which the driver anticipated the dangerous event, and determines whether the preparatory behavior / action was performed in vehicle M based on the analysis results in step S11 (step S15). In the determination in step S15, if the preparatory behavior / action was not performed in vehicle M (step S15: NO), the evaluation unit 4 updates the evaluation data SC associated with terminal device T, which is the source of the terminal device data TD (step S16). In step S16, the evaluation unit 4 specifically sets the eco-driving score in the eco-driving score data S1 and the safe driving score in the safe driving score data S2 included in the evaluation data SC as "normal deductions," and the hazard prediction score in the hazard prediction score data S4 as "normal additions" (i.e., normal additions due to the determination that the above-mentioned hazardous events could be predicted). Furthermore, it adjusts the overall score of the overall score data S3 in accordance with the update of the eco-driving score or hazard prediction score (step S16). At this time, the evaluation unit 4 may keep the overall score unchanged (not update) in relation to the normal deductions for the eco-driving score and safe driving score and the normal additions for the hazard prediction score. After that, the processing unit 10 proceeds to step S18, which will be described later.

[0047] Next, in the determination in step S15, if the above preparatory behavior / action was performed by vehicle M (step S15: YES), the evaluation unit 4 updates the evaluation data SC associated with terminal device T, which is the source of the terminal device data TD (step S17). Specifically in step S17, the evaluation unit 4 sets the eco-driving score of the eco-driving score data S1 and the safe driving score of the safe driving score data S2 included in the evaluation data SC to "normal deductions," and sets the hazard prediction score of the hazard prediction score data S4 to "significantly increased points" (i.e., significantly increased points because it was determined that the above-mentioned hazardous event could be predicted and the above-mentioned preparatory action to avoid that hazardous event was performed by the driver, or that the above-mentioned preparatory behavior to avoid that hazardous event was performed by vehicle M) or "normally increased points," and further adjusts the overall score of the overall score data S3 in accordance with the update of the eco-driving score or hazard prediction score (step S17).

[0048] Subsequently, the processing unit 10 sends (replies to) the terminal device T that sent the terminal device data TD (see steps S3 and S10) (step S18), using the terminal identification data contained in the terminal device data TD that formed the basis for the update as a clue. In addition to sending the evaluation data SC to the terminal device T (see step S18), or instead, the processing unit 10 may output the evaluation data SC to a web page that can be viewed by the driver. Subsequently, the processing unit 10 determines whether to terminate the processing that the server device SV is responsible for in the operation evaluation process of the first embodiment, for example, because the power switch of the server device SV has been turned off (step S19). If, in the determination in step S19, the processing unit 10 decides to continue the processing that the server device SV is responsible for (step S19: NO), the processing unit 10 returns to step S10 and continues the series of processes described above. On the other hand, if the determination in step S19 indicates that the server device SV is to complete the processing it is supposed to perform (step S19: YES), the processing unit 10 terminates the processing.

[0049] As explained above, the driving evaluation process of the first embodiment evaluates the driver's driving based on the driver's psychological state during sudden maneuvers (for example, changes in their heart rate) (see steps S14, S16, and S17 in Figure 4). Therefore, it is possible to evaluate the driver's driving, including the driver's prediction of dangers to obstacles that the driver cannot see.

[0050] Furthermore, if the driver's heart rate changes during a sudden maneuver are below a predetermined threshold, the eco-driving score and safe driving score are updated to indicate that a sudden maneuver occurred, and the hazard prediction score is updated to indicate that the driver possesses hazard prediction ability, thereby evaluating the driving performance (see Figure 4, step S16 or step S17). Thus, the driver's hazard prediction ability can be appropriately evaluated in relation to the presence or absence of sudden maneuvers.

[0051] Furthermore, if it is detected that a predetermined behavior of vehicle M (i.e., the preparatory behavior described above) or a predetermined action by the driver (i.e., the preparatory action described above) was performed prior to the occurrence of a sudden movement, and the change in the driver's vital data (especially heart rate) during the sudden movement was below a predetermined change threshold, the risk prediction score will be updated to "risk prediction ability present" by adding significantly more points to the risk prediction score than if the predetermined behavior of vehicle M or the predetermined action by the driver were not detected. Therefore, the driver's driving can be appropriately evaluated based on whether a dangerous event was predicted and whether the driver performed a preparatory action to avoid that dangerous event, or whether the vehicle M performed the preparatory behavior to avoid that event.

[0052] Furthermore, if the vital data includes the driver's heart rate, it becomes possible to objectively and accurately evaluate the driver's driving performance.

[0053] Furthermore, as vital data indicating the driver's psychological state, in addition to heart rate data, or in lieu thereof, the terminal device data TD may include, one or more of the following: image data obtained by capturing the driver's face (e.g., an expression of surprise) with an in-vehicle camera mounted on the vehicle M; audio data obtained by collecting the driver's voice (e.g., a surprised voice) with a microphone mounted on the vehicle M; or the driver's blood pressure data or data indicating whether or not their hands are sweaty. Even in this case, the driver's driving can be objectively and accurately evaluated based on the detection results of the driver's agitation (surprise) in the event of a sudden movement.

[0054] Furthermore, if the sudden behavior of vehicle M involves any of the following: a sudden change of direction due to a sudden steering operation exceeding a preset operating threshold, a sudden acceleration exceeding a preset acceleration threshold, or a sudden deceleration exceeding a preset deceleration threshold, the driver's driving can be objectively and accurately evaluated in response to the driver's sudden operation.

[0055] (B) Second Example Next, a second embodiment, which is another embodiment corresponding to the embodiment, will be described using Figures 5 and 6. Figure 5 is a block diagram showing the general configuration of the server equipment constituting the operation evaluation system of the second embodiment, and Figure 6 is a flowchart showing the operation evaluation process of the second embodiment.

[0056] (I) Regarding the overall configuration of the operation evaluation system in the second embodiment First, the overall configuration of the operation evaluation system of the second embodiment will be described. The operation evaluation system of the second embodiment has the same configuration as the operation evaluation system SS of the first embodiment, except that the server device SV of the first embodiment is changed to the server device SVV of the second embodiment, which will be described later. Therefore, the overall description of the operation evaluation system of the second embodiment will be omitted below.

[0057] (II) Detailed configuration and operation of the terminal device of the second embodiment Next, the detailed configuration and operation of each terminal device constituting the operation evaluation system of the second embodiment will be described. Each terminal device constituting the operation evaluation system of the second embodiment has the same configuration and operation as the terminal device T of the first embodiment, including the generation of terminal device data TD and transmission to the server device, and the reception of evaluation data SC from the server device and presentation of the corresponding operation evaluation. Therefore, the description of the terminal devices of the second embodiment themselves will be omitted below.

[0058] (III) Detailed configuration and operation of the server device in the second embodiment Next, the detailed configuration and operation of the server device SVV, which constitutes the operation evaluation system of the second embodiment, will be explained using Figures 5(a) and 5(b). In Figure 5, components similar to those of the server device SV of the first embodiment (see Figures 3(b) and 3(c)) are given the same component numbers, and detailed explanations are omitted.

[0059] As shown in Figure 5(a), the server device SVV of the second embodiment is composed of a processing unit 10A consisting of a CPU, ROM, RAM, etc., a non-volatile recording unit 11A consisting of an HDD or SSD, and an interface 1 and operation unit 12 and display 13 similar to those of the server device SV of the first embodiment.

[0060] Furthermore, the processing unit 10A is composed of a detection unit 3A and an evaluation unit 4A. In this case, the detection unit 3A and the evaluation unit 4A may be realized by hardware logic circuits such as the CPU that constitute the processing unit 10A, or they may be realized in software by the CPU reading and executing a program from the recording unit 11A that corresponds to a flowchart showing the processing to be handled by the server device SVV in the operation evaluation processing of the second embodiment described later. Furthermore, as shown by the dashed line in Figure 3(a), the interface 1, the detection unit 3A and the evaluation unit 4A constitute an example of the operation evaluation device S of the embodiment.

[0061] In the above configuration, the recording unit 11A non-volatilely records evaluation data SCC1 to evaluation data SCCn, which correspond to the evaluation data SC of the first embodiment minus the hazard prediction score data S4, as illustrated in Figure 3(b). In the following description, when describing common matters concerning evaluation data SCC1 to evaluation data SCCn, they will be collectively referred to as "evaluation data SCC". Furthermore, the eco-driving score data S1, safe driving score data S2, and overall score data S3 included in the evaluation data SCC of the second embodiment are the same as the safe driving score data S2 and overall score data S3 included in the evaluation data SC recorded in the recording unit 11 of the first embodiment, so a detailed explanation will be omitted. Then, the eco-driving score data S1 to the overall score data S3 included in the evaluation data SCC are updated by the evaluation unit 4A each time that the driver evaluation of a vehicle equipped with the terminal device of the second embodiment is performed by the evaluation unit 4A as part of the driving evaluation process of the second embodiment, based on the terminal device data TD transmitted from the terminal device of the second embodiment to which the evaluation data SCC corresponds. Subsequently, the updated evaluation data SCC is transmitted to the corresponding terminal device of the second embodiment.

[0062] Then, when the terminal device data TD is transmitted from the terminal device of the second embodiment, the detection unit 3A of the processing unit 10A detects the driver's psychological state based on the vital data contained in the terminal device data TD, similar to the detection unit 3 of the first embodiment. Subsequently, the evaluation unit 4A, similar to the evaluation unit 4 of the first embodiment, performs a driving evaluation of the driver based on the detected psychological state and the vehicle data contained in the terminal device data TD, and updates the eco-driving score data S1 to the overall score data S3 as a result. Subsequently, the processing unit 10A transmits (replies to) the evaluation data SCC, including the updated eco-driving score data S1, etc., to the terminal device of the second embodiment that transmitted the terminal device data TD that formed the basis for the update, similar to the processing unit 10 of the first embodiment. At this time, the processing unit 10A uses the terminal identification data contained in the terminal device data TD as a clue to identify the terminal device of the second embodiment to which the updated evaluation data SC should be transmitted.

[0063] Furthermore, in the series of operations described above, the recording unit 11A pre-records programs corresponding to the processing that the server device SVV should perform, in addition to the evaluation data SCC, and outputs them to the processing unit 10A as needed. The processing unit 10A then executes the processing that the server device SVV should perform based on the program. At this time, the operation unit 12 generates an operation signal corresponding to an operation performed by, for example, the administrator of the server device SVV, and outputs it to the processing unit 10A. As a result, the processing unit 10A executes the processing that the server device SVV should perform based on the operation signal.

[0064] (IV) Regarding the operational evaluation process of the second embodiment Next, the operation evaluation process of the second embodiment, which is performed in the operation evaluation system of the second embodiment, including the server device SVV and each terminal device of the second embodiment as described above, will be explained in detail with reference to Figure 6. In Figure 6, the same process (step) as the operation evaluation process of the first embodiment shown in Figure 4 is given the same step number and the detailed explanation is omitted. Also, the process to be performed by the terminal device of the second embodiment in the operation evaluation process of the second embodiment is the same as the process to be performed by the terminal device T of the first embodiment, so the illustration and detailed explanation in Figure 6 are omitted.

[0065] In other words, as shown in Figure 6, when the server device SVV is powered on, for example, it monitors the transmission of terminal device data TD from any of the terminal devices of the second embodiment via the network NW, etc. (step S10). In the monitoring in step S10, if terminal device data TD is transmitted from any of the terminal devices of the second embodiment (step S10: YES), the detection unit 3A of the processing unit 10A then analyzes the vital data and vehicle data contained in the transmitted terminal device data TD to detect the driver's heart rate at that time, and also detects whether or not there is any sudden behavior in the vehicle M being driven by that driver (specifically, for example, whether or not there is any sudden change of direction due to a sudden steering operation exceeding a preset operating threshold, sudden acceleration exceeding a preset acceleration threshold, or sudden deceleration exceeding a preset deceleration threshold) (step S20). In conjunction with this, the detection unit 3A detects, based on the vehicle data, whether, at the time of the sudden movement, there was an obstacle, such as a vehicle, a place object, or a person, that was within a predetermined distance from the vehicle M and approaching the vehicle M at a relative speed exceeding a predetermined speed threshold, and whether such an obstacle existed around the vehicle M driven by the driver subject to the driving evaluation process of the second embodiment (step S20). In the following description, other vehicles that are within a predetermined distance from the vehicle M and do not fall under the category of obstacles (i.e., other vehicles that are within a predetermined distance from the vehicle M but are not approaching the vehicle M at a relative speed exceeding a predetermined speed threshold) will be referred to as "surrounding vehicles".

[0066] Subsequently, the evaluation unit 4A of the processing unit 10A uses the result of analyzing the terminal device data TD received in step S10 (step S20) to determine whether or not the above-mentioned sudden behavior occurred in the vehicle M (step S12). If the determination in step S12 is that there was no sudden behavior (step S12: NO), the processing unit 10A returns to step S10 and repeats the series of processes. On the other hand, if the determination in step S12 is that there was a sudden behavior (step S12: YES), the evaluation unit 4A then uses the result of analyzing the terminal device data TD received in step S10 (step S20) to determine whether or not the above-mentioned obstacle was present (step S21). If the determination in step S21 is that there was an obstacle (step S21: YES), the evaluation unit 4A then determines whether or not the change in heart rate, indicated by the vital data included in the terminal device data TD, within a preset time period is below the above-mentioned change threshold (step S13). In the determination in step S13, if the change in heart rate is not below the change threshold (step S13: NO), the sudden behavior determined to be "present" in step S12 (see step S12: YES) is considered to have been a sudden behavior accompanied by the driver's surprise, that is, the dangerous event similar to that in the first embodiment could not be predicted in advance, and the evaluation unit 4A updates the evaluation data SCC associated with the terminal device T that is the source of the terminal device data TD received in step S10 (step S22). Specifically in step S22, the evaluation unit 4A sets the eco-driving score of the eco-driving score data S1 and the safe driving score of the safe driving score data S2 included in the evaluation data SCC to "normal deductions", and further adjusts the overall score of the overall score data S3 in accordance with the update of the eco-driving score and safe driving score (step S22). After that, the processing unit 10A proceeds to steps S18 and S19, which are the same as the driving evaluation process in the first embodiment.

[0067] On the other hand, in the determination in step S13, if the change in heart rate is below the change threshold (step S13: YES), the evaluation unit 4A then considers the sudden behavior determined in step S12 (see step S12: YES) to be a calm (calm) sudden behavior in which the driver anticipated the dangerous event, and adjusts the evaluation data SCC associated with the terminal device T that transmitted the terminal device data TD received in step S10 (step S23). Specifically in step S23, the evaluation unit 4A does not deduct points from the eco-driving score in the eco-driving score data S1 and the safe driving score in the safe driving score data S2 included in the evaluation data SCC, and also does not change the overall score in the overall score data S3 (step S23). After that, the processing unit 10A proceeds to steps S18 and S19, which are the same as the driving evaluation process in the first embodiment. In other words, in the driving evaluation process of the first embodiment, since the evaluation data SC includes the hazard prediction score data S4, even if the eco-driving score and safe driving score are reduced for unavoidable sudden movements that the driver was able to predict in advance, the driver's hazard prediction ability can be reflected in the overall score by increasing the hazard prediction score. In contrast, in the driving evaluation process of the second embodiment, since the evaluation data SCC does not include the hazard prediction score data S4, the driver's hazard prediction ability cannot be reflected (there is nothing to reflect it). For this reason, in the driving evaluation process of the second embodiment, unavoidable sudden movements that the driver was able to predict in advance are excluded from the evaluation of the eco-driving score, safe driving score, and overall score.

[0068] On the other hand, if, in the determination in step S21, there is no obstacle (step S21: NO), the evaluation unit 4A then determines, in the same manner as in step S13, whether the change in heart rate is below the change threshold (step S25). If, in the determination in step S25, the change in heart rate is not below the change threshold (step S25: NO), the evaluation unit 4A then uses the result of analyzing the terminal device data TD received in step S10 (step S20) to determine whether there was a surrounding vehicle that does not fall under the category of an obstacle (step S26). If, in the determination in step S26, there was no surrounding vehicle (step S26: NO), the evaluation unit 4A updates the evaluation data SCC associated with the terminal device of the second embodiment, which is the source of the terminal device data TD (step S27). In step S27, the evaluation unit 4A specifically sets the eco-driving score of the eco-driving score data S1 and the safe driving score of the safe driving score data S2 included in the evaluation data SCC as "normal deductions," and further adjusts the overall score of the overall score data S3 in accordance with the updates of the eco-driving score and safe driving score (step S27). After that, the processing unit 10A proceeds to the processing in steps S18 and S19.

[0069] Next, in the determination in step S26, if there are surrounding vehicles that do not fall under the category of obstacles (step S26: YES), the evaluation unit 4A updates the evaluation data SCC associated with the terminal device of the second embodiment, which is the source of the terminal device data TD (step S28). In step S28, the evaluation unit 4A specifically sets the eco-driving score of the eco-driving score data S1 included in the evaluation data SCC as a "normal deduction," and sets the safe driving score of the safe driving score data S2 as a "moderate deduction," which is equivalent to a deduction between the normal deduction and the large deduction described later (that is, since the heart rate has changed above the change threshold (see step S25: YES above), it is determined that the sudden behavior resulting from the driver feeling agitated or surprised for some reason (see step S12 above) is an unintentional or unmalicious sudden behavior that may be interpreted as aggressive driving or cutting off other vehicles from the perspective of surrounding vehicles, and applies a larger deduction than the normal deduction above), and further adjusts the overall score of the overall score data S3 in accordance with the updates of the eco-driving score and safe driving score (step S28). After that, the processing unit 10A proceeds to the processing in steps S18 and S19 above.

[0070] On the other hand, if the change in heart rate in step S25 is below the change threshold (step S25: YES), the evaluation unit 4A then determines, in the same manner as in step S26, whether or not there were any surrounding vehicles that did not fall under the category of obstacles (step S29). If, in the determination of step S29, there were no such surrounding vehicles (step S29: NO), the evaluation unit 4A updates the evaluation data SCC in the same manner as in step S27 (step S27). After that, the processing unit 10A proceeds to the processing of steps S18 and S19.

[0071] Finally, in the determination in step S29 above, if the surrounding vehicle was present (step S29: YES), the evaluation unit 4A updates the evaluation data SCC associated with the terminal device of the second embodiment, which is the source of the terminal device data TD (step S30). Specifically in step S30, the evaluation unit 4A sets the eco-driving score of the eco-driving score data S1 included in the evaluation data SCC to "normal deduction" and the safe driving score of the safe driving score data S2 to "significant deduction" (that is, since the heart rate did not change below the change threshold (see step S25: YES above) and the surrounding vehicle was present (see step S29: YES above), in this case, the safe driving score is significantly reduced on the grounds that it was a sudden movement due to so-called aggressive driving or cutting off the vehicle intentionally or maliciously (see step S12 above)), and further adjusts the overall score of the overall score data S3 in accordance with the updates of the eco-driving score and safe driving score (step S30). The processing unit 10A then proceeds to the processing described in steps S18 and S19.

[0072] As explained above, according to the driving evaluation process of the second embodiment, in addition to the effects of the driving evaluation process of the first embodiment, if the change in the driver's psychological state during a sudden maneuver is below a predetermined change threshold, the eco-driving score and safe driving score are left unchanged (no deductions), and the driving is evaluated accordingly (see Figure 6, step S23). Therefore, sudden maneuvers that were unavoidable despite the possibility of danger prediction can be appropriately evaluated as driving.

[0073] Furthermore, when there is no obstacle and the driver's psychological state changes only slightly, the driving evaluation is significantly reduced (see Figure 6, step S30). Therefore, unnecessary sudden movements performed calmly can be accurately judged as aggressive driving, etc., and the driving evaluation can be reduced accordingly.

[0074] Furthermore, in the driving evaluation process of the second embodiment, by changing the evaluation of the sudden behavior being evaluated depending on whether or not it was performed to avoid an obstacle, it is possible to accurately evaluate the driving based on the rationality of the sudden behavior.

[0075] Furthermore, in the driving evaluation process of the second embodiment, by changing the evaluation of the sudden behavior depending on whether or not there were surrounding vehicles when the sudden behavior subject to the driving evaluation occurred, it is possible to accurately reduce the driving evaluation taking into account the impact that the sudden behavior has on the surrounding vehicles.

[0076] Furthermore, when the change in psychological state during a sudden maneuver is minimal and there are no obstacles, the decrease in the safe driving score, which is an evaluation item related to the sudden maneuver, is greater than the decrease in the safe driving score in other cases (see Figure 6, step S30). As a result, unnecessary sudden maneuvers performed calmly can be considered malicious (for example, aggressive driving or dangerous driving), and the driving evaluation can be reduced more accurately.

[0077] Although the embodiments described above describe the case of evaluating the driving skills of a vehicle M, this invention can also be applied to other cases, such as evaluating the driving skills of a motorcycle driver.

[0078] Furthermore, while the above-described embodiments explained the case in which the driving evaluation processing of each embodiment is performed mainly with a server device constituting the driving evaluation system, it is also possible to configure the system so that the driving evaluation processing of each embodiment is performed only with devices installed in each vehicle M (i.e., a navigation device installed in the vehicle M or a smartphone carried by the driver). In this case, the functions of the processing unit 10 or processing unit 10A of each embodiment will be performed by that device.

[0079] Furthermore, it is possible to record a program corresponding to the flowchart shown in Figure 4 or Figure 6, respectively, on a recording medium such as an optical disc or hard disk, or to obtain it via a network such as the Internet, and then read and execute it on a general-purpose microcomputer, thereby making the microcomputer function as the processing unit 10 or processing unit 20 of each embodiment. [Explanation of Symbols]

[0080] 1. Means for acquiring sudden behavior information (interface) 2. Means for acquiring state information 3. Detection means (detection unit) 3A Detection Unit 4. Evaluation means (evaluation unit) 4A Evaluation Department 10, 10A Processing Unit S Operation Evaluation Device T1, T2, Tn, T terminal device SV, SRV server device SC, SC1, SC2, SC3, SCn, SCC1, SCC2, SCC3, SCCn evaluation data TD Terminal Device Data S1 Eco-driving score data S2 Safe Driving Score Data S3 Overall Score Data S4 Risk Prediction Score Data SS Driving Evaluation System

Claims

1. A means for acquiring sudden behavior information that acquires sudden behavior information indicating that a moving object is exhibiting sudden behavior exceeding a pre-set sudden behavior criterion, A state information acquisition means for acquiring state information indicating the psychological state of the driver of the moving vehicle, A detection means for detecting the driver's psychological state at the time of the sudden behavior, based on the acquired sudden behavior information and state information, An evaluation means for evaluating the driver's ability to predict risks while driving, based on the detected psychological state, An operational evaluation device characterized by comprising the following features.

2. In the operation evaluation device according to claim 1, The system further includes recording means for recording hazard prediction information, which is the result of the evaluation of the aforementioned hazard prediction capability, and sudden behavior driving information, which evaluates the presence or absence of the aforementioned sudden behavior. The driving evaluation device is characterized in that, when the detected change in psychological state is below a preset change threshold, it updates the recorded sudden driving information to indicate that a sudden driving action occurred, and updates the recorded hazard prediction information to indicate that the driver was evaluated as having the ability to predict hazards.

3. In the operation evaluation device according to claim 2, The system includes a second detection means for detecting whether a predetermined behavior of the moving body or a predetermined action of the driver, which is intended to avoid or mitigate the sudden movement, occurred before the sudden movement occurred. The driving evaluation device is characterized in that, when the evaluation means updates the recorded hazard prediction information to indicate that the device has the hazard prediction capability, it changes the evaluation of the hazard prediction capability according to the detection result of the second detection means.

4. In the operation evaluation device according to any one of claims 1 to 3, The driving evaluation device is characterized in that the state information is the driver's biological information.

5. In the operation evaluation device according to any one of claims 1 to 3, The driving evaluation device is characterized in that the state information is either image information of the driver's face or sound information of the driver's voice, or both.

6. In the operation evaluation device according to any one of claims 1 to 3, The driving evaluation device is characterized in that the sudden behavior is any of the following: a sudden change of direction of the moving body exceeding the sudden behavior criteria due to a sudden change of direction operation by the driver; a sudden acceleration of the moving body exceeding the sudden behavior criteria due to a sudden acceleration operation by the driver; or a sudden deceleration of the moving body exceeding the sudden behavior criteria due to a sudden deceleration operation by the driver.

7. An operation evaluation method performed in an operation evaluation device comprising means for acquiring sudden behavior information, means for acquiring state information, means for detection, and means for evaluation, A sudden behavior information acquisition step involves acquiring sudden behavior information indicating that the moving object is exhibiting sudden behavior exceeding a predetermined sudden behavior criterion using the sudden behavior information acquisition means, A state information acquisition step in which state information indicating the psychological state of the driver of the moving object is acquired by the state information acquisition means, The detection means includes a detection step of detecting the driver's psychological state at the time of the sudden behavior based on the acquired sudden behavior information and state information, The evaluation means performs an evaluation step of evaluating the driver's ability to predict risks in driving based on the detected psychological state, A driving evaluation method characterized by including the following.

8. A computer, Abrupt behavior information acquisition means for acquiring abrupt behavior information indicating abrupt behavior of a moving object that exceeds a pre-set abrupt behavior criteria. State information acquisition means for acquiring state information indicating the psychological state of the driver of the moving object, A detection means for detecting the driver's psychological state during the sudden behavior, based on the acquired sudden behavior information and state information, An evaluation means for evaluating the driver's ability to predict risks in driving, based on the detected psychological state. A driving evaluation program characterized by functioning as such.

Images