Examinee commission behavior monitoring method and device based on vehicle-road cloud integration

Abstract

The invention relates to the technical field of driving test, and discloses a method and a device for monitoring a commission behavior of an examiner based on vehicle-road cloud integration, and the method comprises the steps: collecting a first movement parameter of a target object in a target region in a driving test scene and a second movement parameter of a driving test vehicle driven by the examiner; according to the first movement parameter and the second movement parameter, analyzing a driving test behavior of the test person for the target object; and when the driving test behavior of the examinee is a non-commission behavior, the second movement parameter of the examinee is transmitted to a roadside edge system to trigger the roadside edge system to deduct points from the examinee according to the second movement parameter, and the roadside edge system is realized based on a vehicle-road cloud integrated architecture. Visibly, the implementation of the invention can integrate the rail vehicle and the road cloud, and is beneficial to improving the monitoring accuracy and efficiency of the commission behavior of the examinee in the driving test, thereby being beneficial to improving the scoring accuracy of the examinee, and further being beneficial to the fairness and consistency of the driving test result.

Description

Technical Field

[0001] The present invention relates to the technical field of driving test, and in particular to a method and device for monitoring examiner's courtesy behavior based on vehicle-road-cloud integration. Background Art

[0002] In modern traffic environments, whether drivers can make correct courtesy behaviors at critical moments (for example, giving way to pedestrians when they cross the road) has a vital impact on traffic safety, especially in complex urban road environments where there are frequent interactions between pedestrians and vehicles, and the slightest negligence may cause an accident. Therefore, monitoring the examiner's courtesy behavior is a key part of the driving test.

[0003] However, practice has found that in traditional driving tests, examiners often only judge whether the examiner has yielded to pedestrians at the right time through visual inspection and past experience. This recognition method has low accuracy and low efficiency. In addition, due to the interference of human factors, it is easy to cause subjective bias in the driving test scoring process, affecting the fairness and consistency of the driving test results. It can be seen that it is particularly important to propose a technical solution to improve the accuracy of monitoring examiners' courtesy behavior. Summary of the invention

[0004] The present invention provides a method and device for monitoring examiner's courtesy behavior based on vehicle-road-cloud integration, which can improve the monitoring accuracy and efficiency of examiner's courtesy behavior in driving tests, is conducive to improving the accuracy of examiner scoring, and is conducive to the fairness and consistency of driving test results.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration, the method comprising:

[0006] Collecting first movement parameters of a target object in a target area within a driving test scene and second movement parameters of a driving test vehicle driven by an examiner within the driving test scene, wherein the target area is the area toward which the driving test vehicle is directed;

[0007] Analyze the driving test behavior of the examiner for the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, wherein the driving behavior includes a courteous behavior or an impolite behavior, and the courteous behavior includes the behavior of the driving test vehicle driven by the examiner giving way to the target object;

[0008] When the examiner's driving test behavior is the non-courtesy behavior, the examiner is deducted points through the roadside edge system according to the examiner's second movement parameter, and the roadside edge system is implemented based on the vehicle-road-cloud integrated architecture.

[0009] As an optional implementation, in the first aspect of the present invention, analyzing the driving test behavior of the examiner for the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle includes:

[0010] When it is detected that the target object is in the pedestrian area of ​​the target area, a plurality of predicted vehicle movement distances between the driving test vehicle and the target area are predicted according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle during the target object's passage through the pedestrian area, each of the predicted vehicle movement distances corresponding to a passage time of the target object in the pedestrian area;

[0011] Determining whether all the predicted vehicle movement distances are greater than or equal to a preset safety distance;

[0012] When it is determined that at least one of the predicted vehicle moving distances is less than the safety distance, actual driving information of the driving test vehicle when entering the deceleration area corresponding to the target area is collected;

[0013] According to the actual driving information of the driving test vehicle, the driving test behavior of the examiner under the target object is analyzed.

[0014] As an optional implementation, in the first aspect of the present invention, predicting a plurality of predicted vehicle movement distances between the driving test vehicle and the target area during the process of the target object passing through the target area according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle includes:

[0015] Calculating a set of travel times of the target object in the target area according to a first movement parameter of the target object, wherein the set of travel times includes travel times of the target object when it moves to various positions in the target area;

[0016] According to the second movement parameter of the driving test vehicle, the distance between the driving test vehicle and the target area within each passing time is predicted as the predicted vehicle movement distance corresponding to the driving test vehicle within each passing time.

[0017] As an optional implementation manner, in the first aspect of the present invention, analyzing the driving test behavior of the examiner under the target object according to the actual driving information of the driving test vehicle includes:

[0018] According to the actual driving information of the driving test vehicle, determining whether the actual driving information meets a preset driving information change condition;

[0019] When it is determined that the actual driving information satisfies the driving information change condition, determining that the driving test behavior of the examiner under the target object is a courteous behavior;

[0020] When it is determined that the actual driving information does not satisfy the driving information change condition, it is determined that the driving test behavior of the examiner under the target object is a non-courtesy behavior.

[0021] As an optional implementation manner, in the first aspect of the present invention, the actual driving information includes the actual vehicle moving distance of the driving test vehicle within each of the passing time and / or the driving change information of the driving test vehicle, and the driving change information includes the real-time speed value of the driving test vehicle within each of the passing time and / or the real-time control information of the examiner on the body pedal of the driving test vehicle;

[0022] And, judging whether the driving change information satisfies a preset driving information change condition according to the actual driving information of the driving test vehicle includes:

[0023] Determine whether the actual vehicle moving distance within each of the passing times is greater than the predicted vehicle moving distance within the passing time, and whether the actual vehicle moving distance within the last passing time is greater than or equal to the safety distance, which is recorded as the first condition; and / or,

[0024] According to all real-time speed values ​​included in the driving change information of the driving test vehicle, judging whether the driving test vehicle meets the preset vehicle deceleration condition, and obtaining a deceleration judgment result, which is recorded as the second condition; and / or,

[0025] According to all the real-time control information of the examiner included in the driving change information of the driving test vehicle, it is determined whether the examiner controls the driving test vehicle to perform a preset driving operation, which is recorded as a third condition, and the driving operation includes a deceleration operation or a parking operation;

[0026] When at least one of the first condition, the second condition and the third condition is met, it is determined that the driving change information meets a preset driving information change condition.

[0027] As an optional implementation manner, in the first aspect of the present invention, judging whether the driving test vehicle meets a preset vehicle deceleration condition based on all real-time speed values ​​included in the driving change information of the driving test vehicle to obtain a deceleration judgment result includes:

[0028] According to all the real-time speed values ​​included in the driving change information, determining whether a target speed value among all the real-time speed values ​​is less than or equal to a preset vehicle speed, the target speed value being a real-time speed value when the distance between the driving test vehicle and the target area is the safe distance;

[0029] When it is determined that the target speed value is less than or equal to the preset vehicle speed, determining that the driving test vehicle meets the preset vehicle deceleration condition;

[0030] When it is determined that the target speed value is greater than the preset vehicle speed, it is determined that the driving test vehicle does not meet the preset vehicle deceleration condition; or,

[0031] When it is determined that the target speed value is greater than the preset vehicle speed, the degree of fit between the speed change of the driving test vehicle and the preset driving test standard deceleration is calculated based on all the real-time speed values; and the deceleration judgment result is determined based on the fit.

[0032] As an optional implementation, in the first aspect of the present invention, the execution priority of the first condition and the execution priority of the second condition are both higher than the execution priority of the third condition, and the execution priority of the first condition is higher than or equal to the execution priority of the second condition.

[0033] The second aspect of the present invention discloses a device for monitoring examiner courtesy behavior based on vehicle-road-cloud integration, the device comprising:

[0034] A collection module, used to collect a first movement parameter of a target object in a target area within a driving test scene and a second movement parameter of a driving test vehicle driven by an examiner within the driving test scene, wherein the target area is an area toward which the driving test vehicle is directed;

[0035] a behavior analysis module, for analyzing the driving test behavior of the examiner for the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, wherein the driving behavior includes a courteous behavior or an impolite behavior, and the courteous behavior includes the behavior of the driving test vehicle driven by the examiner giving way to the target object;

[0036] The scoring module is used to deduct points from the examiner through a roadside edge system based on the examiner's second movement parameter when the examiner's driving test behavior is the non-courtesy behavior. The roadside edge system is implemented based on a vehicle-road-cloud integrated architecture.

[0037] As an optional implementation, in the second aspect of the present invention, the behavior analysis module analyzes the driving test behavior of the examiner under the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, specifically including:

[0038] When it is detected that the target object is in the pedestrian area of ​​the target area, a plurality of predicted vehicle movement distances between the driving test vehicle and the target area are predicted according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle during the target object's passage through the pedestrian area, each of the predicted vehicle movement distances corresponding to a passage time of the target object in the pedestrian area;

[0039] Determining whether all the predicted vehicle movement distances are greater than or equal to a preset safety distance;

[0040] When it is determined that at least one of the predicted vehicle moving distances is less than the safety distance, actual driving information of the driving test vehicle when entering the deceleration area corresponding to the target area is collected;

[0041] According to the actual driving information of the driving test vehicle, the driving test behavior of the examiner under the target object is analyzed.

[0042] As an optional implementation, in the second aspect of the present invention, the behavior analysis module predicts multiple predicted vehicle movement distances between the driving test vehicle and the target area during the process of the target object passing through the target area according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, specifically including:

[0043] Calculating a set of travel times of the target object in the target area according to a first movement parameter of the target object, wherein the set of travel times includes travel times of the target object when it moves to various positions in the target area;

[0044] According to the second movement parameter of the driving test vehicle, the distance between the driving test vehicle and the target area within each passing time is predicted as the predicted vehicle movement distance corresponding to the driving test vehicle within each passing time.

[0045] As an optional implementation, in the second aspect of the present invention, the behavior analysis module analyzes the driving test behavior of the examiner under the target object according to the actual driving information of the driving test vehicle, specifically including:

[0046] According to the actual driving information of the driving test vehicle, determining whether the actual driving information meets a preset driving information change condition;

[0047] When it is determined that the actual driving information satisfies the driving information change condition, determining that the driving test behavior of the examiner under the target object is a courteous behavior;

[0048] When it is determined that the actual driving information does not satisfy the driving information change condition, it is determined that the driving test behavior of the examiner under the target object is a non-courtesy behavior.

[0049] As an optional implementation, in the second aspect of the present invention, the actual driving information includes the actual vehicle moving distance of the driving test vehicle within each of the passing time and / or the driving change information of the driving test vehicle, and the driving change information includes the real-time speed value of the driving test vehicle within each of the passing time and / or the real-time control information of the examiner on the body pedal of the driving test vehicle;

[0050] Furthermore, the behavior analysis module determines whether the driving change information satisfies the preset driving information change condition according to the actual driving information of the driving test vehicle, specifically including:

[0051] Determine whether the actual vehicle moving distance within each of the passing times is greater than the predicted vehicle moving distance within the passing time, and whether the actual vehicle moving distance within the last passing time is greater than or equal to the safety distance, which is recorded as the first condition; and / or,

[0052] According to all real-time speed values ​​included in the driving change information of the driving test vehicle, judging whether the driving test vehicle meets the preset vehicle deceleration condition, and obtaining a deceleration judgment result, which is recorded as the second condition; and / or,

[0053] According to all the real-time control information of the examiner included in the driving change information of the driving test vehicle, it is determined whether the examiner controls the driving test vehicle to perform a preset driving operation, which is recorded as a third condition, and the driving operation includes a deceleration operation or a parking operation;

[0054] When at least one of the first condition, the second condition and the third condition is met, it is determined that the driving change information meets a preset driving information change condition.

[0055] As an optional implementation, in the second aspect of the present invention, the behavior analysis module determines whether the driving test vehicle meets the preset vehicle deceleration condition according to all real-time speed values ​​included in the driving change information of the driving test vehicle, and the manner of obtaining the deceleration judgment result specifically includes:

[0056] According to all the real-time speed values ​​included in the driving change information, determining whether a target speed value among all the real-time speed values ​​is less than or equal to a preset vehicle speed, the target speed value being a real-time speed value when the distance between the driving test vehicle and the target area is the safe distance;

[0057] When it is determined that the target speed value is less than or equal to the preset vehicle speed, determining that the driving test vehicle meets the preset vehicle deceleration condition;

[0058] When it is determined that the target speed value is greater than the preset vehicle speed, it is determined that the driving test vehicle does not meet the preset vehicle deceleration condition; or,

[0059] When it is determined that the target speed value is greater than the preset vehicle speed, the degree of fit between the speed change of the driving test vehicle and the preset driving test standard deceleration is calculated based on all the real-time speed values; and the deceleration judgment result is determined based on the fit.

[0060] As an optional implementation, in the second aspect of the present invention, the execution priority of the first condition and the execution priority of the second condition are both higher than the execution priority of the third condition, and the execution priority of the first condition is higher than or equal to the execution priority of the second condition.

[0061] The third aspect of the present invention discloses another device for monitoring examiner courtesy behavior based on vehicle-road-cloud integration, the device comprising:

[0062] A memory storing executable program code;

[0063] a processor coupled to the memory;

[0064] The processor calls the executable program code stored in the memory to execute the examiner's courtesy behavior monitoring method based on vehicle-road-cloud integration disclosed in the first aspect of the present invention.

[0065] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the method for monitoring the examiner's courtesy behavior based on vehicle-road-cloud integration disclosed in the first aspect of the present invention.

[0066] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0067] In an embodiment of the present invention, a first movement parameter of a target object in a target area within a driving test scene and a second movement parameter of a driving test vehicle driven by an examinee in the driving test scene are collected, and the target area is the area toward which the driving test vehicle is directed; based on the first movement parameter of the target object and the second movement parameter of the driving test vehicle, the examinee's driving test behavior with respect to the target object is analyzed, and the driving behavior includes courteous behavior or non-courteous behavior, and the courteous behavior includes the behavior of the driving test vehicle driven by the examinee to give way to the target object; when the examinee's driving test behavior is non-courteous behavior, the examinee's second movement parameter is transmitted to a roadside edge system to trigger the roadside edge system to deduct points from the examinee according to the second movement parameter, and the roadside edge system is implemented based on a vehicle-road-cloud integrated architecture. It can be seen that the implementation of the present invention can be connected to the vehicle-road-cloud integration, and the first movement parameters of the target object in the target area within the driving test scene and the second movement parameters of the driving test vehicle driven by the examiner in the driving test scene are collected through the roadside edge system, and the examiner's driving test behavior under the target object is analyzed according to the first movement parameters of the target object and the second movement parameters of the driving test vehicle (driving test behavior includes courteous behavior or non-courteous behavior), which can improve the monitoring accuracy and efficiency of the examiner's courteous behavior in the driving test, and when the examiner's driving test behavior is non-courteous behavior, the examiner is deducted points according to the examiner's second movement parameters through the roadside edge system, which can improve the accuracy of the examiner's scoring, reduce the deviation in the examiner's scoring due to misidentification by the examiner, and is conducive to the fairness and consistency of the driving test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0069] Figure 1 It is a flow chart of a method for monitoring examiner's courtesy behavior based on vehicle-road-cloud integration disclosed in an embodiment of the present invention;

[0070] Figure 2 is a system module diagram of a roadside edge system disclosed in an embodiment of the present invention;

[0071] Figure 3 It is a flow chart of another method for monitoring examinee courtesy behavior based on vehicle-road-cloud integration disclosed in an embodiment of the present invention;

[0072] Figure 4 It is a structural schematic diagram of a device for monitoring examiner courtesy behavior based on vehicle-road-cloud integration disclosed in an embodiment of the present invention;

[0073] Figure 5 It is a structural schematic diagram of another device for monitoring examiner courtesy behavior based on vehicle-road-cloud integration disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0074] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0075] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0076] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0077] The present invention discloses a method and device for monitoring examiner's courtesy behavior based on vehicle-road-cloud integration, which can be connected to vehicle-road-cloud integration, collect the first movement parameter of the target object in the target area in the driving test scene and the second movement parameter of the driving test vehicle driven by the examiner in the driving test scene through the roadside edge system, and analyze the examiner's driving test behavior (driving test behavior includes courtesy behavior or non-courtesy behavior) under the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, which can improve the monitoring accuracy and efficiency of the examiner's courtesy behavior in the driving test, and when the examiner's driving test behavior is non-courtesy behavior, the examiner is deducted points through the roadside edge system according to the examiner's second movement parameter, which can improve the accuracy of the examiner's scoring, reduce the deviation of the examiner's scoring due to the examiner's misidentification, and is conducive to the fairness and consistency of the driving test results. The following are detailed descriptions.

[0078] Embodiment 1

[0079] See also Figure 1 , Figure 1 This is a flow chart of a method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration disclosed in an embodiment of the present invention. Figure 1 The described method for monitoring examiner's courtesy behavior based on vehicle-road-cloud integration can be applied to a roadside edge system, and the roadside edge system can be implemented based on a vehicle-road-cloud integration architecture. The method for monitoring examiner's courtesy behavior based on vehicle-road-cloud integration can also be applied to an examiner's courtesy behavior monitoring device based on vehicle-road-cloud integration, wherein the device may include a monitoring device or a monitoring server, wherein the monitoring server may include a cloud server or a local server, which is not limited in the embodiments of the present invention. Figure 1 As shown, the method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration may include the following operations:

[0080] 101. Collect first movement parameters of a target object in a target area within a driving test scene and second movement parameters of a driving test vehicle driven by an examiner within the driving test scene.

[0081] In the embodiment of the present invention, optionally, Figure 2 As shown, Figure 2 It is a system module diagram of a roadside edge system disclosed in an embodiment of the present invention, wherein the roadside edge system may include a data acquisition module, and the data acquisition module may be set in a roadside edge computing device to collect real-time data in a target area. The data acquisition module mainly includes one or more sensors such as a camera, a laser radar, and a millimeter-wave radar, wherein the camera can be used to collect image data of the target area to identify the target object; the laser radar can be used to provide high-precision depth information to help accurately identify the distance and size of the target object; the millimeter-wave radar can be used to detect fast-moving target objects, such as pedestrians or animals, especially in complex weather conditions, such as rainy or foggy days.

[0082] In the embodiment of the present invention, the target area is the area that the driving test vehicle is facing, and the target area may include the sidewalk area in the driving test scene, and may also include the waiting area corresponding to the sidewalk area. For example, assuming that the driving test scene includes sidewalk area A, sidewalk area B, and sidewalk area C, and sidewalk area A is the area that the driving test vehicle is facing, then sidewalk area A can be determined as the target area, and further, the waiting area corresponding to sidewalk area A can also be simultaneously classified as the target area.

[0083] In the embodiment of the present invention, the target objects may optionally include living objects such as pedestrians and animals, and may also include inanimate objects (such as mobile robots, mobile radars, etc.) used to test whether the examiner will yield to them during a driving test.

[0084] In the embodiment of the present invention, optionally, Figure 2 As shown, the roadside edge system may also include an edge computing module, and the edge computing module may be deployed on the roadside to process the raw data collected by the data acquisition module, and perform object recognition, tracking and classification. The edge computing module may have the functions of object detection and tracking (using multi-sensor data fusion technology to detect and track target objects such as pedestrians or animals in the target area in real time) and position and speed calculation (calculating the position and moving speed relative to the current driving test vehicle based on the detected position of the target object). Through the above functions of the edge computing module, the movement parameters of the target object and the driving test vehicle can be calculated.

[0085] Optional, such as Figure 2 As shown, the roadside edge system may also include a vehicle status monitoring module and a communication module (the communication module is used to realize data transmission between the edge computing device and the vehicle status monitoring module), wherein the vehicle status monitoring module is installed on the driving test vehicle, and can obtain the vehicle's speed, position (for example: through GPS or other positioning technologies, obtain the vehicle's precise position on the road) and driving direction, gear position, brake pedal (used to monitor the driver's braking situation), accelerator pedal and other data in real time through the vehicle-mounted CAN bus interface, and transmit the data to the edge computing module through the communication module for comprehensive analysis. The communication module may include a PC5 (PC5 refers to the technology of direct communication between devices in the Internet of Vehicles, and the current communication frequency is mainly 5905~5925MHZ) interface and a UU interface. Specifically, the PC5 interface is used to realize direct communication between the vehicle and the roadside unit in C-V2X (cellular vehicle-to-everything) to transmit deceleration or braking instructions and vehicle body information. For example, the information of traffic participants perceived by the edge computer can be transmitted to the vehicle side in real time through this interface to assist the vehicle side in safe driving; the command message sent by the edge cloud is processed by the edge calculator and transmitted to the vehicle side through this interface, and the vehicle side can also report its own information such as vehicle speed, latitude and longitude information of the vehicle body, heading angle of the vehicle body, steering wheel information of the vehicle body, size information of the vehicle, acceleration information of the vehicle, type information of the vehicle, brake pedal of the vehicle, accelerator pedal of the vehicle, handbrake of the vehicle and other information through this interface; the UU interface is used to realize wider area communication through cellular networks (including but not limited to 4G 5G 6G and other communication methods), and can realize multi-intersection cascade operation, which is suitable for scenarios where network conditions permit. The UU interface can also transmit the information that the PC5 interface can transmit.

[0086] Optionally, the first movement parameter of the target object may include the real-time position of the target object and / or the moving speed of the target object, and may also include the distance between the real-time position of the target object and the end position of the pedestrian area in the target area. Optionally, the second movement parameter of the driving test vehicle may include the real-time position of the driving test vehicle and / or the driving speed of the driving test vehicle, and may also include the distance between the real-time position of the driving test vehicle and the target area, which is not limited in the embodiment of the present invention.

[0087] 102. Analyze the driving test behavior of the examiner with respect to the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle.

[0088] In an embodiment of the present invention, driving behavior may include courteous behavior or impolite behavior. Courteous behavior may include the behavior of the driving test vehicle driven by the examiner giving way to the target object, and impolite behavior may include the behavior of the driving test vehicle driven by the examiner not giving way to the target object.

[0089] In the embodiment of the present invention, Figure 2 As shown, the roadside edge system may also include a decision-making and control module, and the decision-making and control module is used to determine whether the current driving test vehicle needs to slow down or stop based on the analysis results of the edge computing module, and determine the driving test behavior of the examiner driving the driving test vehicle according to the judgment result of whether the driving test vehicle needs to slow down or stop. For example: the decision-making and control module determines whether the driving test vehicle needs to slow down or stop in a designated area according to the position of the target object and the current state of the driving test vehicle; if the judgment result is yes, detect whether the driving test vehicle slows down or stops as required; when it is detected that the driving test vehicle does not slow down or stop as required, it is determined that the examiner has committed an impolite behavior; when it is detected that the driving test vehicle slows down or stops as required, it is determined that the examiner has committed a courteous behavior.

[0090] 103. When the examiner's driving test behavior is impolite, the examiner will be deducted points through the roadside edge system based on the examiner's second movement parameter.

[0091] In the embodiment of the present invention, specifically, when the examiner is monitored to have engaged in non-courteous behavior, the examiner's behavior is automatically recorded, and the decision and control module in the roadside edge system generates a deduction instruction for the examiner based on the examiner's second movement parameter and the deduction mechanism pre-set in the decision and control module, and then sends the deduction instruction for the examiner to the driving test center through the communication module to implement the deduction processing for the examiner.

[0092] Optional, such as Figure 2As shown, the roadside edge system may also include an edge cloud module, wherein the edge cloud module may assist the above-mentioned decision and control module in decision analysis, and may also record traffic data in other modules to realize monitoring of roadside traffic data, so that backstage staff may view real-time traffic participant information collected by the roadside edge system through the edge cloud module. Traffic participants mainly include one or more of pedestrians, motor vehicles, non-motor vehicles, and spilled objects.

[0093] Optional, such as Figure 2 As shown, the roadside edge system may also include an on-board human-computer interaction module (i.e., on-board HMI) to enable interaction between the roadside edge system and the examiner (i.e., driver) in the driving test vehicle. For example: through the on-board human-computer interaction module, the roadside edge system can promptly issue visual instructions on the situation inside the vehicle to the driver, and can also promptly inquire about the traffic conditions of the current section of the road ahead of the driver's vehicle. The driver can communicate and provide feedback to the roadside edge system through the on-board human-computer interaction module via the communication module, so that the roadside edge system can promptly learn about the situation inside the driving test vehicle.

[0094] It can be seen that the implementation Figure 1 The described method for monitoring examiner's courtesy behavior based on vehicle-road-cloud integration can be connected to vehicle-road-cloud integration. The first movement parameters of the target object in the target area within the driving test scene and the second movement parameters of the driving test vehicle driven by the examiner in the driving test scene are collected through the roadside edge system. The examiner's driving test behavior (driving test behavior includes courtesy behavior or non-courtesy behavior) under the target object is analyzed based on the first movement parameters of the target object and the second movement parameters of the driving test vehicle. This can improve the monitoring accuracy and efficiency of the examiner's courtesy behavior in the driving test. When the examiner's driving test behavior is non-courtesy behavior, the examiner is deducted points through the roadside edge system based on the examiner's second movement parameters. This can improve the accuracy of the examiner's scoring and reduce the deviation in the examiner's scoring due to misidentification by the examiner, which is conducive to the fairness and consistency of the driving test results.

[0095] In an optional embodiment, the above step 103 of deducting points from the examiner through the roadside edge system according to the examiner's second movement parameter may include:

[0096] Obtain at least one test item of the driving test, which at least includes the item of yielding to pedestrians;

[0097] Determine the score weight coefficient of each test item in the driving test based on the corresponding importance of all test items;

[0098] According to the score weight coefficients of the pedestrian courtesy item in all test items and at least one preset overspeeding gear, a curve relationship between all overspeeding gears and the points to be deducted in the pedestrian courtesy item is established;

[0099] Determine the points to be deducted from the examiner according to the examiner's driving speed included in the examiner's second movement parameter and the above-mentioned curve relationship;

[0100] Based on the number of points that the examiner needs to deduct, the examiner will be penalized through the roadside edge system.

[0101] In the embodiment of the present invention, the importance of each test item is affected by the loss caused by the dangerous behavior of the examinee in the test item. The greater the loss, the greater the importance. In this way, the score weight coefficient of each test item in the driving test can be accurately determined by the importance of each test item in the driving test, so that the curve relationship between the overspeeding gear and the score required to be deducted for the item can be accurately established through the score weight coefficient of the pedestrian courtesy item and the preset overspeeding gear. Then, according to the driving speed of the examinee and the above curve relationship, the score required to be deducted by the examinee is determined, which improves the accuracy and reliability of determining the score required to be deducted when the examinee has non-courtesy behavior. Finally, based on the score required to be deducted by the examinee, the examinee is deducted through the roadside edge system, which can improve the accuracy and reliability of the deduction of the examinee who has non-courtesy behavior, thereby facilitating the fairness and consistency of the driving test results.

[0102] Embodiment 2

[0103] See also Figure 3 , Figure 3 This is a flow chart of a method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration disclosed in an embodiment of the present invention. Figure 3 The described method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration can be applied to an examiner courtesy behavior monitoring device based on vehicle-road-cloud integration, wherein the device may include a monitoring device or a monitoring server, wherein the monitoring server may include a cloud server or a local server, which is not limited in the embodiments of the present invention. Figure 3 As shown, the method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration may include the following operations:

[0104] 201. Collect first movement parameters of a target object in a target area within a driving test scene and second movement parameters of a driving test vehicle driven by an examiner within the driving test scene.

[0105] 202. When it is detected that the target object is in the sidewalk area of ​​the target area, based on the first movement parameter of the target object and the second movement parameter of the driving test vehicle, multiple predicted vehicle movement distances between the driving test vehicle and the target area are predicted when the target object passes through the sidewalk area.

[0106] In the embodiment of the present invention, each predicted vehicle moving distance corresponds to a travel time of the target object in the pedestrian area.

[0107] 203. Determine whether all predicted vehicle movement distances are greater than or equal to a preset safety distance.

[0108] In the embodiment of the present invention, optionally, the preset safety distance may be 5 meters, or 6 meters, or any other set value, which is not limited in the embodiment of the present invention.

[0109] In an embodiment of the present invention, when the judgment result of step 203 is no, that is, when step 203 determines that there is at least one predicted vehicle moving distance less than the safety distance, step 204 is triggered to be executed; when the judgment result of step 203 is yes, this process can be terminated.

[0110] 204. Collect actual driving information of the driving test vehicle when it enters the deceleration area corresponding to the target area.

[0111] In an embodiment of the present invention, optionally, the deceleration area may be an area where the driving test vehicle needs to decelerate. When the driving test vehicle enters the deceleration area, it indicates that the driving test vehicle needs to decelerate or brake, and the deceleration area may be an area divided with the target area as the center and the distance between the target area and the target area is greater than or equal to a preset deceleration distance, wherein the deceleration distance is greater than the above-mentioned safety distance. Optionally, the actual driving information may include the actual vehicle moving distance of the driving test vehicle within each passing time and / or the driving change information of the driving test vehicle within each passing time, wherein the driving change information may include the real-time speed value of the driving test vehicle within each passing time and / or the real-time control information of the body pedal of the driving test vehicle by the examiner within each passing time.

[0112] 205. Analyze the driving test behavior of the examiner under the target object based on the actual driving information of the driving test vehicle.

[0113] 206. When the examiner's driving test behavior is impolite, the examiner will be deducted points through the roadside edge system based on the examiner's second movement parameter.

[0114] In the embodiment of the present invention, for other descriptions of step 201 to step 206, please refer to the detailed description of step 101 to step 103 in the first embodiment, and the embodiment of the present invention will not be repeated.

[0115] It can be seen that implementation Figure 3 The described method for monitoring examiner's courtesy behavior based on vehicle-road-cloud integration can be connected to vehicle-road-cloud integration. The first movement parameters of the target object in the target area within the driving test scene and the second movement parameters of the driving test vehicle driven by the examiner in the driving test scene are collected through the roadside edge system. The examiner's driving test behavior (driving test behavior includes courtesy behavior or non-courtesy behavior) under the target object is analyzed based on the first movement parameters of the target object and the second movement parameters of the driving test vehicle. This can improve the monitoring accuracy and efficiency of the examiner's courtesy behavior in the driving test. When the examiner's driving test behavior is non-courtesy behavior, the examiner is deducted points through the roadside edge system based on the examiner's second movement parameters. This can improve the accuracy of the examiner's scoring and reduce the deviation in the examiner's scoring due to misidentification by the examiner, which is conducive to the fairness and consistency of the driving test results. In addition, when it is detected that the target object is in the sidewalk area of ​​the target area, it can automatically predict multiple predicted vehicle moving distances between the driving test vehicle and the target area based on the first moving parameter of the target object and the second moving parameter of the driving test vehicle, thereby improving the prediction accuracy and efficiency of the distance between the driving test vehicle and the target area, and then judge whether all predicted vehicle moving distances are greater than the preset safety distance. If not, the actual driving information of the driving test vehicle when entering the deceleration area corresponding to the target area is automatically collected, and based on the actual driving information, the driving test behavior of the examiner under the target object is accurately analyzed, which is conducive to improving the recognition accuracy and efficiency of the examiner's behavior.

[0116] In an optional embodiment, the step 202 of predicting a plurality of predicted vehicle movement distances between the driving test vehicle and the target area during the target object's passage through the target area according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle may include:

[0117] Calculating a set of travel times of the target object in the target area according to a first movement parameter of the target object, the travel time set including the travel time of the target object when it moves to each position in the target area;

[0118] According to the second movement parameter of the driving test vehicle, the distance between the driving test vehicle and the target area within each passing time is predicted as the predicted vehicle movement distance corresponding to the driving test vehicle within each passing time.

[0119] It can be seen that this optional embodiment can calculate the set of travel times of the target object in the target area based on the first movement parameter of the target object, which can improve the calculation accuracy and efficiency of the travel time of the target object in the pedestrian area, and then predict the distance between the driving test vehicle and the target area within each travel time based on the second movement parameter of the driving test vehicle. As the predicted vehicle movement distance corresponding to the driving test vehicle within each travel time, the prediction accuracy and reliability of the distance between the driving test vehicle and the target area can be improved.

[0120] In another optional embodiment, the above step 205 of analyzing the driving test behavior of the examiner under the target object according to the actual driving information of the driving test vehicle may include:

[0121] According to the actual driving information of the driving test vehicle, judging whether the actual driving information meets the preset driving information change condition;

[0122] When it is determined that the actual driving information meets the driving information change condition, the driving test behavior of the examiner under the target object is determined to be a courtesy behavior;

[0123] When it is determined that the actual driving information does not satisfy the driving information change condition, the driving test behavior of the examiner under the target object is determined to be a non-courtesy behavior.

[0124] In an embodiment of the present invention, specifically, the preset driving information change condition may include a condition that the actual vehicle moving distance of the driving test vehicle is greater than the predicted vehicle moving distance, may also include a condition that the speed of the driving test vehicle is less than a preset speed, and may also include a condition that the examiner in the driving test vehicle controls the vehicle body pedal information, which is not limited in the embodiment of the present invention.

[0125] It can be seen that this optional embodiment can determine whether the actual driving information meets the preset driving information change conditions based on the actual driving information of the driving test vehicle, and when it is determined that the actual driving information meets the driving information change conditions, it is determined that the driving test behavior of the examiner under the target object is a courteous behavior, thereby improving the recognition accuracy and efficiency of the examiner's courteous behavior; when it is determined that the actual driving information does not meet the driving information change conditions, it is determined that the driving test behavior of the examiner under the target object is a non-courteous behavior, thereby improving the recognition accuracy and efficiency of the examiner's non-courteous behavior.

[0126] In this optional embodiment, as an optional implementation manner, judging whether the driving change information satisfies the preset driving information change condition according to the actual driving information of the driving test vehicle may include:

[0127] Determine whether the actual vehicle moving distance within each passing time is greater than the predicted vehicle moving distance within the passing time, and whether the actual vehicle moving distance within the last passing time is greater than or equal to the safety distance, which is recorded as the first condition; and / or,

[0128] According to all real-time speed values ​​included in the driving change information of the driving test vehicle, determine whether the driving test vehicle meets the preset vehicle deceleration condition, and obtain a deceleration determination result, which is recorded as the second condition; and / or,

[0129] According to all the real-time control information of the examiner contained in the driving change information of the driving test vehicle, it is judged whether the examiner controls the driving test vehicle to perform a preset driving operation, which is recorded as the third condition. The driving operation includes a deceleration operation or a parking operation;

[0130] When at least one of the first condition, the second condition and the third condition is satisfied, it is determined that the driving change information satisfies a preset driving information change condition.

[0131] In an embodiment of the present invention, specifically, when one of the first condition, the second condition and the third condition is used for judgment, when the condition is not met, it is directly determined that the driving change information does not meet the preset driving information change condition; when at least one of the first condition, the second condition and the third condition is used for judgment, when all conditions are not met, it is determined that the driving change information does not meet the preset driving information change condition.

[0132] In the embodiment of the present invention, the execution priority of the first condition and the execution priority of the second condition are both higher than the execution priority of the third condition, and the execution priority of the first condition is higher than or equal to the execution priority of the second condition. In this way, faster and more convenient conditions can be preferentially selected for judgment based on the execution priority of each condition, which is conducive to further improving the recognition efficiency and speed of the examiner's driving test behavior.

[0133] It can be seen that this optional implementation method can determine whether the actual vehicle moving distance within each passing time is greater than the predicted vehicle moving distance within the passing time, and whether the actual vehicle moving distance within the last passing time is greater than or equal to the safety distance; and / or, based on all real-time speed values ​​contained in the driving change information of the driving test vehicle, determine whether the driving test vehicle meets the preset vehicle deceleration conditions to obtain a deceleration judgment result; and / or, based on all real-time control information of the examiner contained in the driving change information of the driving test vehicle, determine whether the examiner controls the driving test vehicle to perform the preset driving operation, and when at least one of all the above judgment conditions is met, determine that the driving change information meets the preset driving information change conditions, which can improve the accuracy and reliability of determining whether the driving change information meets the preset driving information change conditions, and through diversified judgment conditions, the diversity and flexibility of the determination method for whether the driving change information meets the preset driving information change conditions can be improved.

[0134] In this optional implementation, optionally, judging whether the driving test vehicle meets the preset vehicle deceleration condition based on all real-time speed values ​​included in the driving change information of the driving test vehicle and obtaining the deceleration judgment result may include:

[0135] According to all the real-time speed values ​​included in the driving change information, determining whether a target speed value among all the real-time speed values ​​is less than or equal to a preset vehicle speed;

[0136] When it is determined that the target speed value is less than or equal to the preset vehicle speed, it is determined that the driving test vehicle meets the preset vehicle deceleration condition;

[0137] When it is determined that the target speed value is greater than the preset vehicle speed, it is determined that the driving test vehicle does not meet the preset vehicle deceleration condition; or,

[0138] When it is determined that the target speed value is greater than the preset vehicle speed, the degree of fit between the speed change of the driving test vehicle and the preset driving test standard deceleration is calculated based on all real-time speed values; and the deceleration judgment result is determined based on the fit.

[0139] In the embodiment of the present invention, the target speed value is the real-time speed value when the distance between the driving test vehicle and the target area is a safe distance. Specifically, determining the deceleration judgment result according to the fit may include: judging whether the fit is greater than or equal to the preset fit; when it is judged that the fit is greater than or equal to the preset fit, determining that the driving test vehicle meets the preset vehicle deceleration condition; when it is judged that the fit is less than the preset fit, determining that the driving test vehicle does not meet the preset vehicle deceleration condition. Optionally, the preset fit can be 90%, or 85%, or any other set value, which is not limited by the embodiment of the present invention.

[0140] It can be seen that this optional implementation manner can also determine whether the target speed value among all real-time speed values ​​is less than or equal to the preset vehicle speed based on all real-time speed values ​​included in the driving change information, and when it is determined that the target speed value is less than or equal to the preset vehicle speed, determine that the driving test vehicle meets the preset vehicle deceleration condition, thereby improving the accuracy and efficiency of determining that the driving test vehicle meets the vehicle deceleration condition; when it is determined that the target speed value is greater than the preset vehicle speed, directly determine that the driving test vehicle does not meet the preset vehicle deceleration condition, thereby improving the speed and efficiency of determining that the driving test vehicle does not meet the vehicle deceleration condition, or, based on all real-time speed values, accurately calculate the degree of fit between the speed change of the driving test vehicle and the preset driving test standard deceleration condition; and determine the deceleration judgment result based on the accurately calculated degree of fit, thereby improving the accuracy and reliability of judging whether the driving test vehicle meets the vehicle deceleration condition.

[0141] Embodiment 3

[0142] See also Figure 4, Figure 4 : is a schematic diagram of the structure of a device for monitoring examiner courtesy behavior based on vehicle-road-cloud integration disclosed in an embodiment of the present invention. Figure 4 The described vehicle-road-cloud integrated examiner courtesy behavior monitoring device may include a monitoring device or a monitoring server, wherein the monitoring server may include a cloud server or a local server, which is not limited in the embodiment of the present invention. Figure 4 As shown, the examiner courtesy behavior monitoring device based on vehicle-road-cloud integration may include:

[0143] The acquisition module 301 is used to acquire the first movement parameter of the target object in the target area in the driving test scene and the second movement parameter of the driving test vehicle driven by the examiner in the driving test scene, wherein the target area is the area toward which the driving test vehicle is directed;

[0144] The behavior analysis module 302 is used to analyze the driving test behavior of the examiner for the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, wherein the driving behavior includes a courteous behavior or an impolite behavior, and the courteous behavior includes a behavior of the driving test vehicle driven by the examiner to give way to the target object;

[0145] The scoring module 303 is used to deduct points from the examiner through the roadside edge system based on the examiner's second movement parameter when the examiner's driving test behavior is impolite. The roadside edge system is implemented based on the vehicle-road-cloud integrated architecture.

[0146] It can be seen that the implementation Figure 4 The described examiner's courtesy behavior monitoring device based on vehicle-road-cloud integration can be connected to vehicle-road-cloud integration, and collects the first movement parameters of the target object in the target area within the driving test scene and the second movement parameters of the driving test vehicle driven by the examiner in the driving test scene through the roadside edge system, and analyzes the examiner's driving test behavior (driving test behavior includes courtesy behavior or non-courtesy behavior) under the target object based on the first movement parameters of the target object and the second movement parameters of the driving test vehicle, which can improve the monitoring accuracy and efficiency of the examiner's courtesy behavior in the driving test, and when the examiner's driving test behavior is non-courtesy behavior, the examiner is deducted points through the roadside edge system according to the examiner's second movement parameters, which can improve the accuracy of the examiner's scoring, reduce the deviation in the examiner's scoring due to misidentification by the examiner, and is conducive to the fairness and consistency of the driving test results.

[0147] In an optional embodiment, the behavior analysis module 302 analyzes the driving test behavior of the examiner under the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, and specifically includes:

[0148] When it is detected that the target object is in the pedestrian area of ​​the target area, a plurality of predicted vehicle movement distances between the driving test vehicle and the target area are predicted according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle during the target object's passage through the pedestrian area, each predicted vehicle movement distance corresponding to a passage time of the target object in the pedestrian area;

[0149] Determine whether all predicted vehicle movement distances are greater than or equal to a preset safety distance;

[0150] When it is determined that at least one predicted vehicle moving distance is less than the safe distance, actual driving information of the driving test vehicle when entering the deceleration area corresponding to the target area is collected;

[0151] According to the actual driving information of the driving test vehicle, the driving test behavior of the examiner under the target object is analyzed.

[0152] It can be seen that this optional embodiment can automatically predict multiple predicted vehicle moving distances between the driving test vehicle and the target area based on the first moving parameter of the target object and the second moving parameter of the driving test vehicle when the target object is detected to be in the pedestrian area of ​​the target area, thereby improving the prediction accuracy and efficiency of the distance between the driving test vehicle and the target area, and then determine whether all predicted vehicle moving distances are greater than the preset safety distance. If not, the actual driving information of the driving test vehicle when entering the deceleration area corresponding to the target area is automatically collected, and based on the actual driving information, the driving test behavior of the examiner under the target object is accurately analyzed, which is conducive to improving the recognition accuracy and efficiency of the examiner's behavior.

[0153] In this optional embodiment, as an optional implementation, the behavior analysis module 302 predicts multiple predicted vehicle movement distances between the driving test vehicle and the target area during the target object's passage through the target area according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, specifically including:

[0154] Calculating a set of travel times of the target object in the target area according to a first movement parameter of the target object, the travel time set including the travel time of the target object when it moves to each position in the target area;

[0155] According to the second movement parameter of the driving test vehicle, the distance between the driving test vehicle and the target area within each passing time is predicted as the predicted vehicle movement distance corresponding to the driving test vehicle within each passing time.

[0156] It can be seen that this optional implementation method can calculate the set of travel time of the target object in the target area according to the first movement parameter of the target object, which can improve the calculation accuracy and efficiency of the travel time of the target object in the pedestrian area, and then predict the distance between the driving test vehicle and the target area within each travel time according to the second movement parameter of the driving test vehicle. As the predicted vehicle movement distance corresponding to the driving test vehicle within each travel time, it can improve the prediction accuracy and reliability of the distance between the driving test vehicle and the target area.

[0157] In this optional embodiment, as another optional implementation, the behavior analysis module 302 analyzes the driving test behavior of the examiner under the target object according to the actual driving information of the driving test vehicle, specifically including:

[0158] According to the actual driving information of the driving test vehicle, judging whether the actual driving information meets the preset driving information change condition;

[0159] When it is determined that the actual driving information meets the driving information change condition, the driving test behavior of the examiner under the target object is determined to be a courtesy behavior;

[0160] When it is determined that the actual driving information does not satisfy the driving information change condition, the driving test behavior of the examiner under the target object is determined to be a non-courtesy behavior.

[0161] It can be seen that this optional implementation method can determine whether the actual driving information meets the preset driving information change conditions based on the actual driving information of the driving test vehicle, and when it is determined that the actual driving information meets the driving information change conditions, it is determined that the driving test behavior of the examiner under the target object is a courteous behavior, thereby improving the recognition accuracy and efficiency of the examiner's courteous behavior; when it is determined that the actual driving information does not meet the driving information change conditions, it is determined that the driving test behavior of the examiner under the target object is a non-courteous behavior, thereby improving the recognition accuracy and efficiency of the examiner's non-courteous behavior.

[0162] In this optional implementation, the actual driving information may include the actual vehicle moving distance of the driving test vehicle and / or the driving change information of the driving test vehicle within each passing time, and the driving change information may include the real-time speed value of the driving test vehicle and / or the real-time control information of the body pedal of the driving test vehicle by the examiner within each passing time. And, the behavior analysis module 302 determines whether the driving change information satisfies the preset driving information change condition according to the actual driving information of the driving test vehicle, specifically including:

[0163] Determine whether the actual vehicle moving distance within each passing time is greater than the predicted vehicle moving distance within the passing time, and whether the actual vehicle moving distance within the last passing time is greater than or equal to the safety distance, which is recorded as the first condition; and / or,

[0164] According to all real-time speed values ​​included in the driving change information of the driving test vehicle, determine whether the driving test vehicle meets the preset vehicle deceleration condition, and obtain a deceleration determination result, which is recorded as the second condition; and / or,

[0165] According to all the real-time control information of the examiner contained in the driving change information of the driving test vehicle, it is judged whether the examiner controls the driving test vehicle to perform a preset driving operation, which is recorded as the third condition. The driving operation includes a deceleration operation or a parking operation;

[0166] When at least one of the first condition, the second condition and the third condition is satisfied, it is determined that the driving change information satisfies a preset driving information change condition.

[0167] In the embodiment of the present invention, the execution priority of the first condition and the execution priority of the second condition are both higher than the execution priority of the third condition, and the execution priority of the first condition is higher than or equal to the execution priority of the second condition.

[0168] It can be seen that this optional implementation manner can also determine whether the actual vehicle moving distance within each passing time is greater than the predicted vehicle moving distance within the passing time, and whether the actual vehicle moving distance within the last passing time is greater than or equal to the safety distance; and / or, based on all real-time speed values ​​contained in the driving change information of the driving test vehicle, determine whether the driving test vehicle meets the preset vehicle deceleration conditions to obtain a deceleration judgment result; and / or, based on all real-time control information of the examiner contained in the driving change information of the driving test vehicle, determine whether the examiner controls the driving test vehicle to perform the preset driving operation, and when at least one of all the above judgment conditions is met, determine that the driving change information meets the preset driving information change conditions, which can improve the accuracy and reliability of determining that the driving change information meets the preset driving information change conditions, and through diversified judgment conditions, the diversity and flexibility of the determination method for whether the driving change information meets the preset driving information change conditions can be improved.

[0169] In this optional implementation, further optionally, the behavior analysis module 302 determines whether the driving test vehicle meets the preset vehicle deceleration condition according to all real-time speed values ​​included in the driving change information of the driving test vehicle, and the manner of obtaining the deceleration judgment result may specifically include:

[0170] According to all the real-time speed values ​​included in the driving change information, it is determined whether the target speed value among all the real-time speed values ​​is less than or equal to the preset vehicle speed, and the target speed value is the real-time speed value when the distance between the driving test vehicle and the target area is a safe distance;

[0171] When it is determined that the target speed value is less than or equal to the preset vehicle speed, it is determined that the driving test vehicle meets the preset vehicle deceleration condition;

[0172] When it is determined that the target speed value is greater than the preset vehicle speed, it is determined that the driving test vehicle does not meet the preset vehicle deceleration condition; or,

[0173] When it is determined that the target speed value is greater than the preset vehicle speed, the degree of fit between the speed change of the driving test vehicle and the preset driving test standard deceleration is calculated based on all real-time speed values; and the deceleration judgment result is determined based on the fit.

[0174] It can be seen that this optional implementation manner can also determine whether the target speed value among all real-time speed values ​​is less than or equal to the preset vehicle speed based on all real-time speed values ​​included in the driving change information, and when it is determined that the target speed value is less than or equal to the preset vehicle speed, determine that the driving test vehicle meets the preset vehicle deceleration condition, thereby improving the accuracy and efficiency of determining that the driving test vehicle meets the vehicle deceleration condition; when it is determined that the target speed value is greater than the preset vehicle speed, directly determine that the driving test vehicle does not meet the preset vehicle deceleration condition, thereby improving the speed and efficiency of determining that the driving test vehicle does not meet the vehicle deceleration condition, or, based on all real-time speed values, accurately calculate the degree of fit between the speed change of the driving test vehicle and the preset driving test standard deceleration condition; and determine the deceleration judgment result based on the accurately calculated degree of fit, thereby improving the accuracy and reliability of judging whether the driving test vehicle meets the vehicle deceleration condition.

[0175] Embodiment 4

[0176] See also Figure 5 , Figure 5 Schematic diagram of another device for monitoring examinee courtesy behavior based on vehicle-road-cloud integration disclosed in an embodiment of the present invention. Figure 5 As shown, the vehicle-road-cloud integrated examiner courtesy behavior monitoring device may include:

[0177] A memory 401 storing executable program codes;

[0178] a processor 402 coupled to the memory 401;

[0179] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the method for monitoring the examiner's courtesy behavior based on vehicle-road-cloud integration described in the first embodiment of the present invention or the second embodiment of the present invention.

[0180] Embodiment 5

[0181] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the method for monitoring the examiner's courtesy behavior based on vehicle-road-cloud integration described in embodiment one or embodiment two of the present invention.

[0182] Embodiment 6

[0183] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration described in Example 1 or Example 2.

[0184] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0185] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0186] Finally, it should be noted that the method and device for monitoring examinee courtesy behavior based on vehicle-road-cloud integration disclosed in the embodiment of the present invention only discloses a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions recorded in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration, characterized in that: The method comprises: Collecting first movement parameters of a target object in a target area within a driving test scene and second movement parameters of a driving test vehicle driven by an examiner within the driving test scene, wherein the target area is the area toward which the driving test vehicle is directed; Analyze the driving test behavior of the examiner for the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, wherein the driving behavior includes a courteous behavior or an impolite behavior, and the courteous behavior includes the behavior of the driving test vehicle driven by the examiner giving way to the target object; When the examiner's driving test behavior is the non-courtesy behavior, the examiner is deducted points through the roadside edge system according to the examiner's second movement parameter, and the roadside edge system is implemented based on the vehicle-road-cloud integrated architecture.

2. The method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration according to claim 1 is characterized in that: The analyzing the driving test behavior of the examiner under the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle includes: When it is detected that the target object is in the pedestrian area of ​​the target area, a plurality of predicted vehicle movement distances between the driving test vehicle and the target area are predicted according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle during the target object's passage through the pedestrian area, each of the predicted vehicle movement distances corresponding to a passage time of the target object in the pedestrian area; Determining whether all the predicted vehicle movement distances are greater than or equal to a preset safety distance; When it is determined that at least one of the predicted vehicle moving distances is less than the safety distance, actual driving information of the driving test vehicle when entering the deceleration area corresponding to the target area is collected; According to the actual driving information of the driving test vehicle, the driving test behavior of the examiner under the target object is analyzed.

3. The method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration according to claim 2 is characterized in that: The predicting, based on the first movement parameter of the target object and the second movement parameter of the driving test vehicle, a plurality of predicted vehicle movement distances between the driving test vehicle and the target area during the process in which the target object passes through the target area comprises: Calculating a set of travel times of the target object in the target area according to a first movement parameter of the target object, wherein the set of travel times includes travel times of the target object when it moves to various positions in the target area; According to the second movement parameter of the driving test vehicle, the distance between the driving test vehicle and the target area within each passing time is predicted as the predicted vehicle movement distance corresponding to the driving test vehicle within each passing time.

4. The method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration according to claim 2 or 3 is characterized in that: The analyzing the driving test behavior of the examiner under the target object according to the actual driving information of the driving test vehicle includes: According to the actual driving information of the driving test vehicle, determining whether the actual driving information meets a preset driving information change condition; When it is determined that the actual driving information satisfies the driving information change condition, determining that the driving test behavior of the examiner under the target object is a courteous behavior; When it is determined that the actual driving information does not satisfy the driving information change condition, it is determined that the driving test behavior of the examiner under the target object is a non-courtesy behavior.

5. The method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration according to claim 4 is characterized in that: The actual driving information includes the actual vehicle moving distance of the driving test vehicle within each of the passing time and / or the driving change information of the driving test vehicle, and the driving change information includes the real-time speed value of the driving test vehicle within each of the passing time and / or the real-time control information of the body pedal of the driving test vehicle by the examiner; And, judging whether the driving change information satisfies a preset driving information change condition according to the actual driving information of the driving test vehicle includes: Determine whether the actual vehicle moving distance within each of the passing times is greater than the predicted vehicle moving distance within the passing time, and whether the actual vehicle moving distance within the last passing time is greater than or equal to the safety distance, which is recorded as the first condition; and / or, According to all real-time speed values ​​included in the driving change information of the driving test vehicle, judging whether the driving test vehicle meets the preset vehicle deceleration condition, and obtaining a deceleration judgment result, which is recorded as the second condition; and / or, According to all the real-time control information of the examiner included in the driving change information of the driving test vehicle, it is determined whether the examiner controls the driving test vehicle to perform a preset driving operation, which is recorded as a third condition, and the driving operation includes a deceleration operation or a parking operation; When at least one of the first condition, the second condition and the third condition is met, it is determined that the driving change information meets a preset driving information change condition.

6. The method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration according to claim 5 is characterized in that: The step of determining whether the driving test vehicle meets a preset vehicle deceleration condition based on all real-time speed values ​​included in the driving change information of the driving test vehicle, and obtaining a deceleration determination result, includes: According to all the real-time speed values ​​included in the driving change information, determining whether a target speed value among all the real-time speed values ​​is less than or equal to a preset vehicle speed, the target speed value being a real-time speed value when the distance between the driving test vehicle and the target area is the safe distance; When it is determined that the target speed value is less than or equal to the preset vehicle speed, determining that the driving test vehicle meets the preset vehicle deceleration condition; When it is determined that the target speed value is greater than the preset vehicle speed, it is determined that the driving test vehicle does not meet the preset vehicle deceleration condition; or, When it is determined that the target speed value is greater than the preset vehicle speed, the degree of fit between the speed change of the driving test vehicle and the preset driving test standard deceleration is calculated based on all the real-time speed values; and the deceleration judgment result is determined based on the fit.

7. The method for monitoring examiner courtesy behavior based on vehicle-road-cloud integration according to claim 5 is characterized in that: The execution priority of the first condition and the execution priority of the second condition are both higher than the execution priority of the third condition, and the execution priority of the first condition is higher than or equal to the execution priority of the second condition.

8. A device for monitoring examiner courtesy behavior based on vehicle-road-cloud integration, characterized in that: The device comprises: A collection module, used to collect a first movement parameter of a target object in a target area within a driving test scene and a second movement parameter of a driving test vehicle driven by an examiner within the driving test scene, wherein the target area is an area toward which the driving test vehicle is directed; a behavior analysis module, for analyzing the driving test behavior of the examiner for the target object according to the first movement parameter of the target object and the second movement parameter of the driving test vehicle, wherein the driving behavior includes a courteous behavior or an impolite behavior, and the courteous behavior includes the behavior of the driving test vehicle driven by the examiner giving way to the target object; The scoring module is used to deduct points from the examiner through a roadside edge system based on the examiner's second movement parameter when the examiner's driving test behavior is the non-courtesy behavior. The roadside edge system is implemented based on a vehicle-road-cloud integrated architecture.

9. A device for monitoring examiner courtesy behavior based on vehicle-road-cloud integration, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the examiner's courtesy behavior monitoring method based on vehicle-road-cloud integration as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the examiner's courtesy behavior monitoring method based on vehicle-road-cloud integration as described in any one of claims 1-7.

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