Driving diagnosis device

Abstract

The present application provides a method of properly evaluating a driving behavior of a driver. An ideal travel information storage section holds ideal travel information including an ideal travel locus of a vehicle. An actual travel information acquisition section acquires actual travel information including state information of the vehicle and / or operation information of the driver. An optimal travel information derivation section derives optimal travel information including an optimal travel locus of the vehicle based on the ideal travel information and the actual travel information. An evaluation section evaluates the driving behavior of the driver by comparing the actual travel information with the optimal travel information.

Description

Technical Field

[0001] This invention relates to a driving diagnostic device for evaluating a driver's driving behavior. Background Technology

[0002] Patent document 1 discloses a driving diagnostic device that evaluates a driver’s driving behavior based on the similarity between ideal driving information that defines the relationship between vehicle speed and position corresponding to road conditions and actual driving information that represents the relationship between the actual vehicle speed and position when the vehicle is traveling on the road.

[0003] Patent Document 1: Japanese Patent Application Publication No. 2014-229228 Summary of the Invention

[0004] According to the driving diagnosis method described in Patent Document 1, even when the vehicle continues to deviate dynamically from its ideal driving trajectory, the driver's driving behavior is evaluated based on the similarity between the ideal driving information and the actual driving information. Therefore, even when the driver attempts to return to the ideal driving trajectory with optimal driving maneuvering, the similarity is calculated to be low due to the deviation between the ideal and actual driving trajectories, resulting in the driver's driving behavior being evaluated as below their actual ability. Therefore, the object of this invention is to provide a method for appropriately evaluating a driver's driving behavior.

[0005] A driving diagnostic device according to one aspect of the present invention includes: a storage unit that stores ideal driving information including an ideal driving trajectory of a vehicle; an actual driving information acquisition unit that acquires actual driving information including vehicle status information and / or driver operation information; an optimal driving information derivation unit that derives optimal driving information including the optimal driving trajectory of the vehicle based on the ideal driving information and the actual driving information; and an evaluation unit that evaluates the driver's driving behavior by comparing the actual driving information with the optimal driving information. Attached Figure Description

[0006] Figure 1 This is a diagram showing the functional blocks of the driving diagnostic device involved in the implementation method.

[0007] Figure 2 This is a diagram showing the flowchart of the driver diagnostic process.

[0008] Figure 3 (a) is a diagram illustrating an example of the relationship between the ideal driving trajectory and the actual driving trajectory. Figure 3 (b) is a diagram showing an example of the optimal driving trajectory.

[0009] Figure 4 (a) and Figure 4 (b) is a diagram showing the state of the vehicle in motion.

[0010] Figure 5 (a) and Figure 5 (b) is a diagram showing an example of the evaluation results. Detailed Implementation

[0011] Figure 1 This indicates a function block of the driving diagnostic device 1 mounted on the vehicle 10 according to the embodiment. The vehicle 10 may be a vehicle that uses only an internal combustion engine as a driving force source, or it may be an electric vehicle that uses an electric motor as a driving force source. Electric vehicles may be, for example, battery electric vehicles (BEVs), hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), or fuel cell electric vehicles (FCEVs).

[0012] Vehicle 10 is equipped with an electronic control unit (ECU) having a processor and storage device. Driving diagnostic device 1 can function as an ECU, or it can be integrated into vehicle 10 as a control unit separate from the ECU. Driving diagnostic device 1 includes a real-time driving information acquisition unit 18, an optimal driving information export unit 24, an ideal driving information storage unit 26, and an evaluation unit 28. The real-time driving information acquisition unit 18 includes at least one of a vehicle status information acquisition unit 20 and an operation information acquisition unit 22, and has the function of acquiring real-time driving information including vehicle status information representing the current state of vehicle 10 and / or driver operation information. Driving diagnostic device 1 evaluates the driver's driving behavior and outputs the evaluation results to a display device 30.

[0013] The vehicle status information acquisition unit 20 acquires vehicle status information, such as position information, vehicle speed, acceleration (deceleration), and yaw rate, from various sensors or devices mounted on the vehicle 10. The vehicle 10 may include a longitudinal acceleration sensor, a longitudinal yaw rate sensor, a lateral acceleration sensor, a yaw rate sensor, a roll rate sensor, and wheel speed sensors. Furthermore, the vehicle 10 may have a GNSS device that receives GNSS signals from multiple Global Navigation Satellite System (GNSS) satellites to determine its current position. The vehicle status information acquisition unit 20 acquires the vehicle 10's position information from the GNSS device. Alternatively, the vehicle status information acquisition unit 20 may use camera-based photographic images or IMU sensor detection values ​​to acquire the vehicle 10's position information.

[0014] The operation information acquisition unit 22 acquires operation information from the driver's operation of the operating components. The operating components may include a steering wheel, brake pedal, accelerator pedal, and / or gear shift lever. Based on the detection values ​​from a steering angle sensor, brake pedal opening sensor, accelerator pedal opening sensor, and gear position sensor, the operation information acquisition unit 22 acquires the amount of steering wheel operation (steering angle), the amount of brake pedal depressing (brake pedal opening), the amount of accelerator pedal depressing (accelerator pedal opening), and the position of the gear shift lever (gear position) as driver operation information. The operation information acquisition unit 22 can also acquire the amount of steering wheel operation based on the detection values ​​from an EPS torque sensor. Furthermore, the operation information acquisition unit 22 can acquire the driving amount of an actuator that operates in conjunction with the operation of the operating components as operation information for the operating components.

[0015] The ideal driving information storage unit 26 maintains ideal driving information, including the vehicle's ideal driving trajectory. Ideal driving information serves as a driving evaluation benchmark, including the ideal vehicle trajectory on the road, state information representing the ideal vehicle state, and operational information representing the driver's ideal actions. Ideal driving information can be generated, for example, by recording the vehicle's trajectory (vehicle position), vehicle state, and driving actions in a time sequence by a professional driver actually driving the vehicle. Ideal driving information on the road in which the vehicle travels is generated by a professional driver driving a vehicle equipped with various sensors and measuring devices. Alternatively, ideal driving information can be generated by simulating a virtual vehicle ideally driving on a modeled road. Ideal driving information can be generated by vehicle type or by environmental conditions.

[0016] Figure 2 This is a flowchart illustrating the driving diagnostic process for evaluating a driver's driving behavior. Driving diagnostic processing is not performed before the driver begins driving (S10, N). When the driver begins driving (S10, Y), driving diagnostic device 1 begins driving diagnostic processing.

[0017] During vehicle operation, the actual driving information acquisition unit 18 acquires actual driving information including vehicle status information and / or driver operation information (S12). In the actual driving information acquisition unit 18, the vehicle status information acquisition unit 20 acquires vehicle status information at a predetermined period, and the operation information acquisition unit 22 acquires driver operation information at a predetermined period. The actual driving information preferably includes both vehicle status information and driver operation information, but may also include only one of these pieces of information. The optimal driving information derivation unit 24 derives optimal driving information, including the optimal driving trajectory of the vehicle 10, based on the ideal driving information stored by the ideal driving information storage unit 26 and the actual driving information acquired by the actual driving information acquisition unit 18 (S14).

[0018] Figure 3(a) An example illustrating the relationship between the ideal driving trajectory 40 and the actual driving trajectory 42. In Figure 3 In (a), vehicle 10 is traveling at the current position P1, and the actual travel trajectory 42 represents the actual travel trajectory of vehicle 10. The actual travel information includes position information acquired by vehicle status information acquisition unit 20 at a predetermined period. The actual travel trajectory 42 is derived by connecting the positions represented by the position information in a time sequence.

[0019] In this example, the ideal driving trajectory 40 represents the trajectory of driving on the inside of the curve, but the actual driving trajectory 42 expands outward, deviating from the ideal driving trajectory 40. The optimal driving information derivation unit 24 derives optimal driving information, including the optimal driving trajectory of the vehicle 10 to approach the ideal driving, vehicle status information, and operation information, based on the ideal driving information and the actual driving information.

[0020] Figure 3 (b) shows an example of the derived optimal driving trajectory 44. The optimal driving trajectory 44 represents the best driving trajectory for the vehicle 10 currently traveling at the current position P1 to return to the ideal driving trajectory 40. The optimal driving information derivation unit 24 derives the optimal driving trajectory 44 starting from the current position P1 included in the actual driving information. Specifically, the optimal driving information derivation unit 24 derives the optimal driving trajectory 44 for bringing the vehicle close to the ideal driving trajectory 40, starting from the current position P1 included in the actual driving information.

[0021] In addition, the optimal driving information export unit 24 not only exports the optimal driving trajectory 44 as optimal driving information, but also exports optimal vehicle status information and optimal operation information. Optimal vehicle status information may include, for example, vehicle speed, acceleration (deceleration), and abruptness, while optimal operation information may include the amount of steering wheel input (steering angle), the amount of brake pedal input, the amount of accelerator pedal input, and the position of the gear shift lever. Here, the optimal vehicle status information and optimal operation information can be exported as multiple time series information at each predetermined time interval. The optimal driving information export unit 24 exports the optimal driving information at a predetermined period, for example, approximately every 100 milliseconds. In this case, the optimal driving information may include the driving trajectory, vehicle status information, and operation information every approximately 10 milliseconds.

[0022] Figure 4 (a) indicates the state of vehicle 10 moving from position P1 to position P2. The evaluation unit 28 evaluates the driver's driving behavior by comparing the actual driving information with the optimal driving information (S16). The evaluation unit 28 can use at least one of the driving trajectory, vehicle status information, and operation information included in the actual driving information and the optimal driving information to evaluate the driver's driving behavior.

[0023] The evaluation unit 28 can evaluate the driver's driving behavior by comparing the actual driving trajectory 42 with the optimal driving trajectory 44. Furthermore, the evaluation unit 28 can evaluate the driver's driving behavior by comparing the actual vehicle status information with the optimal vehicle status information. Additionally, the evaluation unit 28 can evaluate the driver's driving behavior by comparing the driver's actual operation information with the optimal operation information. Moreover, the evaluation unit 28 can use two or more of the following to evaluate the driver's driving behavior: driving trajectory, vehicle status information, and operation information. By utilizing multiple types of information in driving diagnosis, the evaluation unit 28 can evaluate the driver's driving behavior with high accuracy.

[0024] Evaluation unit 28 evaluates the driver's driving behavior at a predetermined period. Evaluation unit 28 can evaluate the driver's driving behavior at the same period as or shorter than the period at which the optimal driving information is derived by optimal driving information derivation unit 24. When the optimal driving information is time-series information, evaluation unit 28 extracts the optimal driving information at the time of evaluation and compares it with the actual driving information. In this example, optimal driving information derivation unit 24 derives the optimal driving information when vehicle 10 arrives at position P1, and evaluation unit 28 performs driving diagnostic processing when vehicle 10 arrives at position P2. When the travel time from position P1 to position P2 is set to T, evaluation unit 28 can extract the driving trajectory (vehicle position), vehicle status information, and operation information included in the optimal driving information for each time T, and compare it with the actual driving information.

[0025] exist Figure 4 In the example shown in (a), the actual driving trajectory 42 is approximately consistent with the optimal driving trajectory 44. When the evaluation unit 28 performs evaluation processing based on the driving trajectory, it can diagnose that the driver has performed an operation close to the optimal driving maneuver to return to the ideal driving trajectory 40, and highly evaluate the driver's driving behavior. Furthermore, as mentioned above, the evaluation unit 28 is not limited to the driving trajectory; it can also consider vehicle status information and / or operational information to evaluate the driver's driving behavior.

[0026] Furthermore, the evaluation unit 28 preferably evaluates the driver's driving behavior with high precision by comparing actual driving information with optimal driving information and ideal driving information. For example... Figure 4As shown in (a), although the deviation of the current position P2 from the ideal driving trajectory 40 is less than the deviation of the position P1 from the ideal driving trajectory 40, it is still relatively large. Therefore, the evaluation unit 28 preferably gives a high evaluation that the actual driving trajectory 42 is approximately consistent with the optimal driving trajectory 44. On the other hand, it considers cases where the deviation of the actual driving trajectory 42 from the ideal driving trajectory 40 is still relatively large as low-evaluation material, and performs a comprehensive evaluation of the actual driving trajectory 42. In this way, by comparing the actual driving information with the optimal driving information and the ideal driving information, the evaluation unit 28 can evaluate the driver's driving behavior with high precision.

[0027] Figure 4 (b) indicates another state where vehicle 10 travels from position P1 to position P3. The evaluation unit evaluates the driver's driving behavior by comparing actual driving information with optimal driving information. The evaluation unit 28 can evaluate the driver's driving behavior using at least one of the driving trajectory, vehicle status information, and operation information included in the actual driving information and the optimal driving information.

[0028] The evaluation department 28 evaluates drivers' driving behavior at prescribed intervals. Figure 4 In the example shown in (b), the actual driving trajectory 42 deviates slightly from the optimal driving trajectory 44. Figure 4 Compared to the example shown in (a), the deviation of position P3 from the optimal driving trajectory 44 is greater than the deviation of position P2 from the optimal driving trajectory 44. Therefore, compared to Figure 4 Compared to the example shown in (a), the evaluation unit 28 can evaluate... Figure 4 (b) shows that the actual driving trajectory 42 gives a relatively low evaluation of the driver's driving behavior.

[0029] Furthermore, when the evaluation unit 28 compares the actual driving information with the optimal driving information and the ideal driving information, the deviation of position P3 from the ideal driving trajectory 40 is greater than the deviation of position P1 from the ideal driving trajectory 40. That is, compared to when the vehicle 10 is at position P1, the deviation from the ideal driving trajectory 40 is greater. Therefore, the evaluation unit 28 can give a lower evaluation of the driver's driving behavior. Thus, by comparing the actual driving information with the optimal driving information and the ideal driving information, the evaluation unit 28 can evaluate the driver's driving behavior with high accuracy.

[0030] In the above examples, the evaluation unit 28 primarily performs driving diagnosis based on the driving trajectory. However, it can also evaluate multiple items that are the evaluation targets based on vehicle status information and operational information. For example, if the jerkiness included in the actual driving information is greater than the jerkiness included in the optimal driving information, the evaluation unit 28 can give the driver's driving behavior a low rating. Similarly, if the steering amount included in the actual driving information is greater than the steering amount included in the optimal driving information, the evaluation unit 28 can give the driver's driving behavior a low rating. On the other hand, if the jerkiness included in the actual driving information is the same as the jerkiness included in the optimal driving information, the evaluation unit 28 can give the driver's driving behavior a high rating, and if the steering amount included in the actual driving information is the same as the steering amount included in the optimal driving information, the evaluation unit 28 can give the driver's driving behavior a high rating.

[0031] The above driving diagnostic process is performed during driving (S18, N). The evaluation unit 28 evaluates the driver's driving behavior at predetermined intervals and sequentially stores the evaluation results in a storage device (not shown). When driving ends (S18, Y), the evaluation unit 28 displays the evaluation results to the driver (S20). The evaluation unit 28 derives scores for each item evaluated and calculates a comprehensive score based on the scores of multiple items. At this time, the evaluation unit 28 can summarize the evaluation results from the start to the end of driving, derive scores for each item, and calculate a comprehensive score. The evaluation unit 28 displays the summarized evaluation results on the display device 30.

[0032] Figure 5 (a) shows an example of displaying the evaluation results as a bar chart. Figure 5 (b) shows an example of displaying the evaluation results as a radar chart. The evaluation results include scores for “trajectory,” “steering amount,” “braking force,” “driving force,” “steering speed,” and “rapidity,” as well as an overall score, but may also include scores for other items.

[0033] The present invention has been described above according to embodiments. These embodiments are merely examples; various modifications can be made to the combination of the constituent elements or processing flows, and these modifications also fall within the scope of the present invention, as will be understood by those skilled in the art.

[0034] In this embodiment, the optimal driving information export unit 24 is described as exporting the optimal driving trajectory, optimal vehicle status information, and optimal operation information as time-series information at a predetermined period. In a modified example, the optimal driving information export unit 24 may also export the optimal vehicle position, optimal vehicle status information, and optimal operation information after a predetermined time from the current position. In this case, the evaluation unit 28 can compare the optimal vehicle position, optimal vehicle status information, and / or optimal operation information with the vehicle position, vehicle status information, and / or operation information included in the actual driving information at the point where the predetermined time has elapsed from the current position, and evaluate the driver's driving behavior.

[0035] In the implementation, it was explained that ideal driving information can be generated by vehicle model or by environmental conditions. However, generating ideal driving information by each vehicle model and each environmental condition requires time and effort. Therefore, the optimal driving information export unit 24 can have the function of deriving optimal driving information from ideal driving information using a vehicle motion model for each vehicle model. In addition, the vehicle motion model used is preferably one that displays behavior reflecting the input environmental conditions. For example, if the ideal driving information is generated for driving a vehicle of model A, and the driver being evaluated is driving a vehicle of model B, the optimal driving information export unit 24 uses the vehicle motion model to convert the ideal driving information for model A into optimal driving information corresponding to model B. Thus, the evaluation unit 28 can use the optimal driving information corresponding to model B to evaluate the driver's driving behavior. In this way, by using a vehicle motion model, the trouble of generating various types of ideal driving information can be avoided.

[0036] In this embodiment, the evaluation unit 28 is described as sequentially storing the evaluation results in a storage device. However, the evaluation results can also be sequentially sent from the communication device to a data server and accumulated. When the driving ends, the data server sends the evaluation results to the vehicle 10, and the driver can view the evaluation results on the display device 30. Alternatively, the data server can also send the evaluation results to a digital device such as a smartphone held by the driver. Thus, the driver can view a score summarizing the evaluation results from the start to the end of the driving trip. Furthermore, the driver can view the evaluation results at any location along the route traveled.

[0037] Symbol Explanation

[0038] 1-Driver diagnostic device, 10-Vehicle, 18-Actual driving information acquisition unit, 20-Vehicle status information acquisition unit, 22-Operation information acquisition unit, 24-Optimal driving information export unit, 26-Ideal driving information storage unit, 28-Evaluation unit, 30-Display device, 40-Ideal driving trajectory, 42-Actual driving trajectory, 44-Optimal driving trajectory.

Claims

1. A driver diagnostic device, characterized in that, have: The storage unit maintains ideal driving information, including the vehicle's ideal driving trajectory. The actual driving information acquisition unit acquires actual driving information, including vehicle status information and / or driver operation information. The optimal driving information export unit exports optimal driving information, including the vehicle's optimal driving trajectory, based on ideal driving information and actual driving information. and The evaluation department assesses a driver's behavior by comparing actual driving information with optimal driving information.

2. The driving diagnostic device according to claim 1, characterized in that, The evaluation unit evaluates the driver's driving behavior by comparing actual driving information with optimal driving information and ideal driving information.

3. The driving diagnostic device according to claim 1, characterized in that, The optimal driving information exporting unit exports the optimal driving trajectory starting from the current position included in the actual driving information.

4. The driving diagnostic device according to claim 3, characterized in that, The optimal driving information exporting unit exports the optimal driving trajectory, starting from the current position included in the actual driving information, to make the vehicle approach the ideal driving trajectory.

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