CN111753810A

CN111753810A - Driving behavior data testing system and collecting method

Info

Publication number: CN111753810A
Application number: CN202010668228.3A
Authority: CN
Inventors: 聂冰冰; 甘顺; 李泉; 胡屹明
Original assignee: Tsinghua University
Current assignee: Tsinghua University
Priority date: 2020-07-13
Filing date: 2020-07-13
Publication date: 2020-10-09
Anticipated expiration: 2040-07-13
Also published as: CN111753810B

Abstract

The application relates to a driving behavior data testing system and an acquisition method, which are used for displaying a behavior stimulation signal to a person to be tested; then acquiring behavior data of the person to be tested based on the stress response of the person to be tested to the behavior stimulation signal, wherein the behavior data comprises stress operation information of the person to be tested and physiological characteristic information of the person to be tested when the person to be tested executes the stress operation, and the behavior stimulation signal comprises a virtual traffic scene; the virtual traffic scene is constructed on the basis of clustering analysis on scene cognitive behavior data of a plurality of drivers; the scene cognitive behavior data is obtained based on stress behaviors of drivers on the preset traffic video. By adopting the method, the integrity and the authenticity of the behavior data can be improved.

Description

Driving behavior data testing system and collecting method

Technical Field

The application relates to the technical field of traffic safety, in particular to a driving behavior data testing system and a driving behavior data collecting method.

Background

With the continuous improvement of the vehicle intelligence level, the active and passive safety integrated design becomes a research hotspot in the traffic safety field. The active and passive safety integrated design is passive safety taking the vehicle structure crashworthiness design In the automobile collision stage (In-crash) and the passenger restraint system matching as design objects, and active safety taking the advanced driving assistance collision avoidance system In the automobile Pre-collision stage (Pre-crash) as a design object, and the active safety and the passive safety are organically combined to realize the optimized vehicle integrated safety design. The behavior data of the driver becomes an important data base of the active and passive safety integrated design.

In the traditional method, a researcher can reproduce part of dangerous scenes through a driving simulator, so that the researcher can simulate driving operation in the dangerous scenes, and then collect operation information and the like of the researcher.

However, the dangerous scenes cannot fully represent the characteristics of various traffic scenes, and the obtained behavior data is not complete.

Disclosure of Invention

Accordingly, it is desirable to provide a driving behavior data testing system and a driving behavior data collecting method capable of improving data integrity.

A method of collecting driving behavior data, the method comprising:

displaying the behavior stimulation signal to the person to be tested; the behavioral stimulus signal comprises a virtual traffic scene; the virtual traffic scene is constructed on the basis of clustering analysis on scene cognitive behavior data of a plurality of drivers; the scene cognitive behavior data is obtained based on the stress behavior of a driver on a preset traffic video;

and acquiring behavior data of the person to be tested based on the stress response of the person to be tested to the behavior stimulation signal, wherein the behavior data comprises stress operation information of the person to be tested and physiological characteristic information of the person to be tested when the person to be tested executes the stress operation.

In one embodiment, the method further includes:

clustering and analyzing scene cognitive behavior data of a plurality of drivers by adopting a preset clustering algorithm to obtain a plurality of traffic video classes; each traffic video in the traffic video class has similar scene cognitive behavior characteristics;

carrying out scene reconstruction according to each traffic video class to obtain a plurality of typical scenes;

and randomly generating a preset number of virtual traffic scenes by setting variable parameters of a plurality of typical scenes.

In one embodiment, before displaying the behavior stimulation signal to the person to be tested, the method further includes:

displaying a pre-test signal to a person to be tested; the pretest signal is of the same type as the behavioral stimulus signal;

collecting stress operation information of a person to be tested under the stimulation of a pre-test signal; the stress operation information includes steering wheel operation information and brake pedal operation information;

determining whether the person to be tested meets the preset test passing requirement or not according to the stress operation information under the pretest signal;

and if the person to be tested meets the test passing requirement, performing the step of displaying the behavior stimulation signal to the person to be tested.

In one embodiment, the determining whether the person to be tested meets the preset test passing requirement according to the stress operation information under the pretest signal includes:

comparing the stress operation information under the pretest signal with preset operation information corresponding to the pretest signal, and determining the operation accuracy of the personnel to be tested;

and if the operation accuracy is greater than or equal to a preset threshold value, determining that the person to be tested meets the preset test passing requirement.

In one embodiment, the method further includes:

and if the operation accuracy is smaller than the preset threshold, returning to the step of displaying the pretest signal to the person to be tested until the operation accuracy is larger than or equal to the preset threshold.

In one embodiment, the preset operation information includes a preset operation response in a time window in which a dangerous scene appears in the pretest signal.

In one embodiment, the physiological characteristic information includes eye movement information, brain electrical information, physiological electrical information and motion posture information.

In one embodiment, the virtual traffic scene comprises a virtual traffic scene video, a virtual traffic scene sound effect, and a rotation excitation and a translation excitation provided by a simulated driving base; the method further comprises the following steps:

and controlling the sound effect of the traffic scene, the rotary excitation and the translational excitation according to a preset rule, and carrying out real-time interaction with the stress operation information of the personnel to be tested.

In one embodiment, the method further includes:

and recording the traffic information in the virtual traffic scene under the condition that the person to be tested executes the stress operation.

In one embodiment, the behavior stimulation signal further includes a direction indication signal and a traffic video; the behavior data comprises first behavior data corresponding to the virtual traffic scene, second behavior data corresponding to the direction indicating signals and third behavior data corresponding to the traffic video.

A driving behavior data testing system, said system comprising: the device comprises an acquisition control module, a visual stimulation display module, an operation action acquisition module and a physiological signal acquisition module, wherein the visual stimulation display module, the operation action acquisition module and the physiological signal acquisition module are connected with the acquisition control module;

the acquisition control module is used for executing the driving behavior data acquisition method;

the visual stimulation display module is used for displaying the behavior stimulation signals to the person to be tested under the control of the acquisition control module;

the operation action acquisition module is used for generating stress operation information according to the stress behavior of the person to be tested based on the behavior stimulation signal;

the physiological signal acquisition module is used for converting physiological characteristics of the person to be tested when the person to be tested executes stress behaviors into physiological characteristic information.

In one embodiment, the operation action acquisition module includes a steering pedal module, configured to generate steering wheel operation information and brake pedal operation information according to steering wheel operation and brake pedal operation performed by a person to be tested.

In one embodiment, the physiological signal acquisition module includes: the device comprises an eye movement acquisition module, an electroencephalogram acquisition module, a motion capture module and a physiological electric signal acquisition module.

In one embodiment, the system further includes: the audio playing module and the driving simulation base are arranged on the vehicle body;

the audio playing module is used for playing the traffic scene sound effect in the virtual traffic scene;

the simulated driving base is used for providing rotary excitation and translational excitation for a person to be tested.

In one embodiment, the system further includes a traffic scene recording module for converting the traffic condition in the virtual traffic scene into traffic information.

A driving behavior data collection device, said device comprising:

the display unit is used for displaying the behavior stimulation signals to the person to be tested; the behavioral stimulus signal comprises a virtual traffic scene; the virtual traffic scene is constructed on the basis of clustering analysis on scene cognitive behavior data of a plurality of drivers; the scene cognitive behavior data is obtained based on the stress behavior of a driver on a preset traffic video;

and the acquisition unit is used for acquiring behavior data of the person to be tested based on the stress response of the person to be tested to the behavior stimulation signal, wherein the behavior data comprises stress operation information of the person to be tested and physiological characteristic information of the person to be tested when the person to be tested performs stress operation.

A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:

A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:

According to the driving behavior data testing system and the collecting method, the collecting control module displays the behavior stimulation signals to the person to be tested; then acquiring behavior data of the person to be tested based on the stress response of the person to be tested to the behavior stimulation signal, wherein the behavior data comprises stress operation information of the person to be tested and physiological characteristic information of the person to be tested when the person to be tested executes the stress operation, and the behavior stimulation signal comprises a virtual traffic scene; the virtual traffic scene is constructed on the basis of clustering analysis on scene cognitive behavior data of a plurality of drivers; the scene cognitive behavior data is obtained based on stress behaviors of drivers on the preset traffic video. The virtual traffic scene is constructed by clustering analysis based on the scene cognitive behavior data, and the scene cognitive behavior data is obtained based on the stress behavior of the driver on the preset traffic video, so that the virtual traffic scene can fully embody the characteristics of various traffic scenes, the behavior characteristics of the person to be tested in different scenes, particularly dangerous scenes can be collected, and the collected behavior data is more comprehensive; furthermore, the reality of behavior data of the person to be tested can be improved by acquiring cognitive data through the virtual traffic scene; the computer equipment simultaneously collects the stress operation information and the physiological characteristic information, so that a data analysis basis can be provided for cognitive behavior analysis, and the integrity of behavior data is further improved.

Drawings

FIG. 1 is a diagram of an exemplary driving behavior data collection application environment;

FIG. 2 is a schematic flow chart diagram of a driving behavior data collection method in one embodiment;

FIG. 3 is a schematic flow chart of a driving behavior data collection method according to another embodiment;

FIG. 4 is a schematic flow chart diagram of a driving behavior data collection method in another embodiment;

FIG. 5 is a schematic flow chart diagram of a driving behavior data collection method in another embodiment;

FIG. 6 is a block diagram of a driving behavior data testing system in one embodiment;

FIG. 7 is a block diagram of a driving behavior data testing system in accordance with another embodiment;

FIG. 8 is a block diagram showing the construction of a driving behavior data testing system according to another embodiment;

FIG. 9 is a block diagram showing the construction of a driving behavior data testing system according to another embodiment;

FIG. 10 is a block diagram showing the construction of a driving behavior data testing system according to another embodiment;

FIG. 11 is a block diagram showing the construction of a driving behavior data collecting apparatus according to an embodiment;

FIG. 12 is a block diagram showing the construction of a driving behavior data collecting apparatus according to another embodiment;

FIG. 13 is a block diagram showing the construction of a driving behavior data collecting apparatus according to another embodiment;

FIG. 14 is a block diagram showing the construction of a driving behavior data collecting apparatus according to another embodiment;

FIG. 15 is a block diagram showing the construction of a driving behavior data collecting apparatus according to another embodiment;

FIG. 16 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The driving behavior data acquisition method provided by the application can be applied to the application environment shown in fig. 1. The person to be tested can be located in the driving behavior data testing system 100, and the behavior data of the person to be tested is acquired through the acquisition control module 101 in the driving behavior data testing system. The driving behavior data testing system 100 may be a closed simulated driving cabin or an open simulated driving system, which is not limited herein. The acquisition control module 101 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and the like.

In one embodiment, as shown in fig. 2, a driving behavior data collection method is provided, which is described by taking an example of the method applied to the collection control module 101 in fig. 1, and includes:

s101, displaying a behavior stimulation signal to a person to be tested; the behavioral stimulus signal comprises a virtual traffic scene; the virtual traffic scene is constructed on the basis of clustering analysis on scene cognitive behavior data of a plurality of drivers; the scene cognitive behavior data is obtained based on stress behaviors of drivers on the preset traffic video.

The behavior stimulation signal can contain a potential hazard source, so that the person to be tested can extract information through the brain to analyze and make a stress response after receiving the behavior stimulation signal. The behavior stimulation signal can comprise a virtual traffic scene, and the virtual traffic scene refers to a signal which can be displayed in a virtualization mode so that a person to be tested can be immersed in the virtual traffic scene. The virtual traffic scene can be stimulated through vision, and can be stimulated through multiple senses, such as auditory sense or touch sense, so that the person to be tested can be immersed in the virtual traffic scene. Specifically, the acquisition control module may display the Virtual traffic scene through a visual stimulus display module, where the visual stimulus display module may be a display screen or a projection device, and may also display the Virtual traffic scene in a Virtual Reality (VR) manner, and the display manner is not limited herein. When the acquisition control module displays the virtual traffic scene through the display screen, the virtual traffic scene can be displayed through one or more display screens, and the display screen can be a plane display screen or a curved surface display screen.

The virtual traffic scene is constructed based on clustering analysis of scene cognitive behavior data of a plurality of drivers. The scene cognitive behavior data are obtained based on stress behaviors of drivers on preset traffic videos. The traffic video is a video acquired by equipment such as a camera in a road under a real scene, the traffic video can include a dangerous scene, and after a driver watches the preset traffic video, characteristic elements in the traffic video can be extracted through a brain, a scene mode is understood by combining time and space distribution of characteristics, and a stress behavior is generated by making a prediction. The stress behavior may include steering, brake pedal stepping, accelerator pedal stepping, or physiological changes such as heartbeat acceleration. The scene cognitive behavior data can include operation data of a driver, such as direction rotation angle or rotation number, pedal treading depth and the like, and can also include heartbeat change parameters or electroencephalogram information and the like; in addition, the reaction time after the driver sees the dangerous scene may be included, and the type of the scene cognitive behavior data is not limited herein.

The clustering analysis can be a process of analyzing the similarity of scene cognitive behavior data of a driver, finding similar features hidden in the scene cognitive behavior data and clustering traffic videos, so that various traffic scenes can be covered, and data features under various scenes are covered in the behavior data collected by the collection control module.

The acquisition control module may perform cluster analysis on the scene cognitive behavior according to a cluster analysis algorithm, which may be a machine learning model, such as an unsupervised classification learning model. The acquisition control module can analyze scene cognitive behavior characteristics of the person to be tested in different traffic scenes according to the machine learning model, and clustering of the traffic scenes in the traffic video is achieved. The acquisition control module can perform scene reconstruction in an immersive simulated driving development environment according to multiple classes of the obtained traffic videos to obtain a virtual traffic scene, and then the virtual traffic scene is used as a behavior stimulation signal to be displayed to the person to be tested.

S102, acquiring behavior data of the person to be tested based on the stress response of the person to be tested to the behavior stimulation signal, wherein the behavior data comprises stress operation information of the person to be tested and physiological characteristic information of the person to be tested when the person to be tested performs stress operation.

When a person to be tested is in a virtual traffic scene, information in the virtual traffic scene, such as stimulation information of vision, hearing, body feeling and the like, can be received through a sense organ, then the person to be tested can extract key elements in the virtual traffic scene, for example, identify a dangerous scene in the virtual traffic scene, then judge the dangerous scene in the virtual traffic scene, and make a decision and stress operation. Therefore, the behavior operation data can include perception data of the person to be tested on the dangerous scene and stress operation information. The danger sensing data can be a process of judging and reasoning after the key information is extracted by the person to be detected, and can be expressed through physiological characteristic information, such as heartbeat information and the like. The stress operation information can be a collision avoidance decision completed in a short time after the person to be tested fully senses and makes a prediction on a dangerous scene in the virtual traffic scene, and the risk of human and vehicle injury in the dangerous scene is reduced by operating a vehicle device (steering or braking) through four limbs.

The stress operation may be steering, accelerator pedal, brake pedal, etc., and the stress operation data may be steering angle, brake pedal depression depth, etc.; the time of turning the steering wheel or the operation duration of the brake pedal may be included, and the time of reflecting between the occurrence time of the dangerous scene and the stress operation may also be included, and the type of the stress operation data is not limited herein.

The physiological characteristic information may be the number of heart beats or the eye movement information, and the type of the physiological characteristic information is not limited herein. Optionally, the physiological characteristic information may include eye movement information, brain electrical information, physiological electrical information, and motion posture information. The eye movement information can be the fixation dwell time of human eyes, a realization track graph and the like; the electroencephalogram information is used for recording the electric wave change during brain activity and is the overall reflection of the electrophysiological activity of brain nerve cells on the surface of a cerebral cortex or scalp; the motion posture information may include a body swing amplitude of the person to be measured.

When the acquisition control module acquires the behavior data of the person to be detected, the behavior data can be acquired through the sensors connected with the acquisition control module. The sensor can comprise an operation action acquisition module and a physiological signal acquisition module, and the operation action acquisition module can be used for generating stress operation information according to the stress behavior of the person to be tested based on the behavior stimulation signal; the physiological signal acquisition module can be used for converting physiological characteristics of a person to be tested when the person to be tested executes stress behaviors into physiological characteristic information. The operation action acquisition module can comprise a steering pedal template and can be used for generating steering wheel operation information and brake pedal operation information according to steering wheel operation and brake pedal operation executed by a person to be tested. For different physiological characteristic information, the physiological characteristic information can be acquired by different sensors, for example, the physiological signal acquisition module includes an eye movement acquisition module, an electroencephalogram acquisition module, a motion capture module and a physiological electrical signal acquisition module. The eye movement acquisition module can be an eye movement instrument and can be used for drawing the eye movement track of the person to be detected; the electroencephalogram acquisition module can be a electroencephalogram monitor and the like; the motion capture module can be used for collecting the joint motion information of limbs and trunk of a person to be detected; the physiological electric signal acquisition module can be used for acquiring skin electricity and electrocardio information of a person to be detected.

According to the driving behavior data acquisition method, the acquisition control module acquires a group of behavior stimulation signals; then acquiring behavior data of the person to be tested based on the stress response of the person to be tested to the behavior stimulation signal, wherein the behavior data comprises stress operation information of the person to be tested and physiological characteristic information of the person to be tested when the person to be tested executes the stress operation, and the behavior stimulation signal comprises a virtual traffic scene; the virtual traffic scene is constructed on the basis of clustering analysis on scene cognitive behavior data of a plurality of drivers; the scene cognitive behavior data is obtained based on stress behaviors of drivers on the preset traffic video. The virtual traffic scene is constructed by clustering analysis based on scene cognitive behavior data, and the scene cognitive behavior data is obtained based on stress behaviors of drivers on the preset traffic video, so that the group of virtual traffic scenes can fully embody the characteristics of various traffic scenes, so that the behavior characteristics of the to-be-detected people in different scenes, particularly dangerous scenes, can be collected, and the collected behavior data is more comprehensive; furthermore, the reality of behavior data of the person to be tested can be improved by acquiring cognitive data through the virtual traffic scene; the acquisition control module simultaneously acquires the stress operation information and the physiological characteristic information, so that a data analysis basis can be provided for cognitive behavior analysis, and the integrity of behavior data is further improved.

Fig. 3 is a schematic flow chart of a driving behavior data collection method in another embodiment, where this embodiment designs a manner for constructing a virtual traffic scene by a collection control module, and on the basis of the foregoing embodiment, as shown in fig. 3, the method further includes:

s201, clustering and analyzing scene cognitive behavior data of a plurality of drivers by adopting a preset clustering algorithm to obtain a plurality of traffic video classes; each traffic video in the traffic video class has similar scene cognitive behavior characteristics.

Specifically, the acquisition control module can input scene cognitive behavior data of a plurality of drivers into a preset clustering algorithm, and a plurality of traffic video classes are obtained through the preset clustering algorithm. The traffic videos in each traffic video class have similar scene awareness behavior characteristics. The similar scene cognitive behavior characteristics can be that the reflecting time of the driver is short, and the acquisition control module can consider that the dangerous scene appears suddenly in the scene; the above-mentioned similar behavior feature may also be a steering wheel with a large rotation angle, and the type of the similar behavior feature is not limited herein.

S202, scene reconstruction is carried out according to the traffic videos, and a plurality of typical scenes are obtained.

After the acquisition control module acquires a plurality of traffic video classes, a target traffic video can be selected from the traffic video classes, and scene reconstruction is performed according to the target traffic video. Specifically, the acquisition control module can select one traffic video in each traffic video class as a target traffic video, and can also select a plurality of traffic videos in each traffic video class as target traffic videos; in addition, the number of selected target traffic videos in each traffic video class may also be different.

Further, the acquisition control module can input the target traffic video into the immersive simulated driving development environment for scene reconstruction, and obtain a plurality of typical scenes, for example, 4 typical scenes. The typical scene may have adjustable variable parameters, where the variable parameters may be positions of obstacles or sizes of the obstacles in the road, time of occurrence of a dangerous scene, and the like, and may further include speed, distance, traffic flow in the traffic scene, lighting conditions, and the like of the own vehicle and other vehicles. The type of the variable parameter is not limited herein.

And S203, randomly generating a preset number of virtual traffic scenes by setting variable parameters of a plurality of typical scenes.

When data acquisition is carried out on a person to be detected, the acquisition control module randomly presets a number of virtual traffic scenes by setting variable parameters of a plurality of typical scenes. In the virtual traffic scenes with the preset number, the number of the typical scenes may be the same or different.

For example, the preset traffic video may include 1000 videos, when scene cognitive behavior data is collected for 100 drivers, 100 videos may be randomly displayed for each driver, after the data collection is completed, each traffic video may correspond to the scene cognitive behavior data of 10 drivers, the scene cognitive behavior data may be the reflection duration of the drivers after a dangerous scene occurs, and if the reflection durations corresponding to a plurality of traffic videos are all short, the plurality of traffic videos may be determined as one class. Further, the acquisition control module may construct 4 typical scenes according to multiple classes of the traffic video, and then randomly obtain 40 virtual traffic scenes by setting variable parameters of the typical scenes.

According to the driving behavior data acquisition method, the acquisition control module obtains the plurality of typical scenes through the preset clustering algorithm, so that the behavior characteristics of the person to be tested in different scenes can be fully represented according to the virtual traffic scene generated by the typical scenes, and the comprehensiveness and integrity of the behavior data are improved.

Fig. 4 is a schematic flow chart of a driving behavior data collection method in another embodiment, where a manner for collecting behavior data by a collection control module is designed in this embodiment, on the basis of the foregoing embodiment, as shown in fig. 4, before the foregoing S102, the method further includes:

s301, displaying a pretest signal to a person to be tested; the pretest signal is of the same type as the behavioral stimulus signal.

Before the acquisition control module acquires the behavior data of the person to be tested, a group of pretest signals with the same type as the behavior stimulation signals can be displayed to the person to be tested, so that the person to be tested can be familiar with the test environment in the pretest stage, and the accuracy of the behavior data is improved.

The pretest signal and the behavior stimulus signal are of the same type, and for example, when the behavior stimulus signal is a virtual traffic scene, the pretest signal and the behavior stimulus signal are also virtual traffic scenes. The number of virtual traffic scenes in the pretest signal may be the same as or different from the preset number. The virtual traffic scene in the pretest signal may be a part of the behavior stimulation signal, or may be a virtual traffic scene regenerated based on a typical scene, which is not limited herein. For example, the pretest signal is 12 groups of virtual traffic scenes generated based on a typical scene.

S302, stress operation information of a person to be tested under the stimulation of a pre-test signal is collected; the stress operation information includes steering wheel operation information and brake pedal operation information.

The acquisition control module can acquire the stress operation information of the personnel to be tested under each pre-test signal. The stress operation information may include steering wheel operation information and brake pedal operation information. For example, the acquisition control module can convert the action of the steering wheel and the action of stepping on the brake pedal of the person to be tested into the steering wheel operation information and the brake pedal operation information through the steering brake module.

And S303, determining whether the person to be tested meets the preset test passing requirement or not according to the stress operation information under the pretest signal.

Further, after the acquisition control module acquires the stress operation information corresponding to each pretest signal, the stress operation information corresponding to the pretest signal can be further analyzed to determine whether the stress operation information meets the preset test passing requirement. Specifically, the test passing requirement may refer to that the time for the testee to perform the stress operation is within a preset time range, or may refer to whether the type of the stress operation performed by the testee is accurate. Optionally, the acquisition control module may compare the stress operation information under the pretest signal with preset operation information corresponding to the pretest signal, and determine the operation accuracy of the person to be tested; and if the operation accuracy is greater than or equal to a preset threshold value, determining that the person to be tested meets the preset test passing requirement.

The preset operation information refers to correct operation which is stored in the acquisition control module and is required to be executed by a person to be tested under the pretest signal. For example, when a dangerous scene appears in the pretest signal 1, the person to be tested should turn the steering wheel; when a dangerous scene appears in the pretest signal 2, the person to be tested should step on a brake pedal and the like. The preset operation information may include a preset operation response in a time window in which a dangerous scene appears in the pretest signal. That is, the preset operation information includes, in addition to the type of the stress operation, the timing at which the person to be tested should perform the stress operation. For example, when a dangerous scene occurs in the pretest signal 1, the person to be tested should turn the steering wheel or the like in 2 seconds.

The acquisition control module can compare the stress operation information of the personnel to be tested under the pre-test signal with the preset operation information to determine the operation accuracy of the personnel to be tested. If the operation accuracy is greater than or equal to the preset threshold, the acquisition control module may determine that the person to be tested is familiar with the test environment, and the acquired behavior data is not inaccurate due to unfamiliarity with the test environment. For example, the preset threshold may be 80%, that is, for 12 sets of pretest signals, the person to be tested needs to perform the correct stress operation under at least 10 sets of pretest signals.

Further, if the operation accuracy is smaller than the preset threshold, the step of displaying the pretest signal to the person to be tested is returned to be executed until the operation accuracy is larger than or equal to the preset threshold. By performing the step of presenting the pretest signals to the dut in return, the dut can become familiar with the operating rules in the test environment again under a new set of pretest signals.

And S304, if the person to be tested meets the passing requirement of the test, the step of displaying the behavior stimulation signal to the person to be tested is executed.

If the person to be tested meets the passing requirement of the test, the step of displaying the behavior stimulation signal to the person to be tested can be executed, and the behavior data of the person to be tested is collected.

According to the driving behavior data acquisition method, the acquisition control module displays the pre-test signal to the person to be tested, and determines whether the person to be tested passes the pre-test according to the preset test passing requirement, so that the behavior data can be acquired under the condition that the testing person is familiar with the testing environment, and the accuracy of the behavior data can be improved.

In one embodiment, the virtual traffic scene comprises a virtual traffic scene video, a virtual traffic scene sound effect, and a rotation stimulus and a translation stimulus provided by a simulated driving base; the acquisition control module can control the sound effect, the rotation excitation and the translation excitation of a traffic scene according to a preset rule and carry out real-time interaction with the stress operation information of the person to be tested.

Specifically, the acquisition control module may play a virtual traffic scene sound effect in the virtual traffic scene through the audio playing module, for example, a sound of vehicle collision in the virtual traffic scene or an engine sound when the vehicle speed is increased. The acquisition control module can also provide rotation excitation and translation excitation for the person to be tested through the simulated driving base, so that the person to be tested can rotate and translate under the action of the simulated driving base, the driving posture change of the person to be tested in a real scene is simulated, the person to be tested can sink in a virtual traffic scene under multi-sense stimulation, and more real stress behaviors are reflected in the virtual traffic scene.

The acquisition control module can also control the sound effect, the rotation excitation and the translation excitation of a traffic scene according to a preset rule, and performs real-time interaction with the stress operation information of the person to be tested, so that the real driving experience of the person to be tested in a virtual traffic scene is further improved, and the accuracy of behavior data is improved.

Further, the acquisition control module can record the traffic information in the virtual traffic scene under the condition that the person to be tested executes the stress operation. The acquisition control module can convert the traffic condition in the virtual traffic scene into traffic information through the traffic scene recording module. The traffic information may include the speed, distance, etc. of the vehicle and other vehicles in the virtual traffic scene, and may also include engine change, vehicle attitude change, etc. of the vehicle. The acquisition control module can analyze the scene cognitive ability of the person to be tested according to the traffic information synchronous with the behavior data of the person to be tested by recording the traffic information, and provides data guarantee for traffic safety integrated design.

In one embodiment, the behavior stimulation signal further comprises a direction indicating signal and a traffic video; the behavior data comprises first behavior data corresponding to the virtual traffic scene, second behavior data corresponding to the direction indicating signals and third behavior data corresponding to the traffic video.

The direction indication signal can be a direction arrow mark displayed in the visual stimulation display module, and the person to be tested can execute corresponding stress operation according to the displayed direction arrow under a preset operation rule to complete a cognitive response test so as to analyze the reflecting duration of the person to be tested. For example, when the direction arrow is left, the person to be tested needs to turn the steering wheel left, when the direction arrow is right, the person to be tested needs to turn the steering wheel right, when the direction arrow is upward, the person to be tested needs to step on the accelerator pedal, and when the direction arrow is downward, the person to be tested needs to step on the brake pedal. The direction indicating signal can be a black background or a background with other colors; the direction indication signal may be a direction arrow mark randomly appearing in the middle of the screen, or a direction arrow mark moving, which is not limited herein. Considering that the action reaction time of the person to be measured is about 1 second, the interval time marked by the directional arrow may be 2 seconds or 3 seconds. When the behavior stimulation signal is a direction indication signal, the acquisition control module can acquire second behavior data of the person to be tested, including stress operation information and physiological characteristic information of the person to be tested.

The acquisition control module may display a set of direction indication signals, for example, 20 sets of direction arrow marks with random orientations, whose occurrence durations may decrease, as the second pre-test signal to the person to be tested through the visual stimulation display module. After capturing the arrow information, the person to be tested can execute corresponding operation according to a preset operation rule, and collect the stress operation information of the person to be tested in the process, for example, an operation signal of the person to be tested appears within 2 seconds in the direction arrow mark. The acquisition control module can automatically calculate a second operation accuracy of the person to be tested under a second pre-test signal, and if the second operation accuracy of the person to be tested is greater than or equal to a preset threshold value, for example, 90%, the next step of testing is performed; and if the second operation accuracy of the person to be tested is smaller than the preset threshold, repeating the pre-test until the second operation accuracy of the person to be tested meets the requirement, and passing through a second pre-test stage. After the person to be tested passes through the second pre-test stage, the acquisition control module may display a group of direction indication signals as second behavior stimulation signals to the person to be tested through the visual stimulation display module, for example, 100 groups of direction arrow marks oriented randomly and the occurrence duration of the direction arrow marks are decreased progressively, and the acquisition control module may acquire second behavior data of the person to be tested.

The acquisition control module can display a group of traffic videos to the person to be tested through the visual stimulation display module to obtain third behavior data of the person to be tested, wherein the third behavior data comprises stress operation information of the person to be tested under the stimulation of the traffic videos and physiological characteristic information when the stress operation information is executed. The traffic video may be displayed by projection or by a display screen, which is not limited herein. The acquisition control module can display a group of traffic videos serving as a third pre-test signal to the person to be tested through the visual stimulation display module, for example, 20 groups of traffic videos, and 10 groups of traffic videos in the 20 groups of traffic videos may include dangerous scenes. By watching the traffic video, the person to be tested can execute stress operation under the stimulation of the traffic video, for example, stress operation information in a time window of 2 seconds before and after the occurrence time of a dangerous scene. The acquisition control module can automatically calculate a third operation accuracy of the person to be tested under a third pre-test signal, and if the third operation accuracy of the person to be tested is greater than or equal to a preset threshold value, for example, 80%, the next step of testing is performed; and if the third operation accuracy of the person to be tested is smaller than the preset threshold, repeating the pre-test until the operation accuracy of the person to be tested meets the requirement, and passing the pre-test stage. After the person to be tested passes through the pre-test stage, the acquisition control module can display a group of traffic videos serving as third behavior stimulation signals to the person to be tested through the visual stimulation display module, for example, 100 groups of traffic videos and 50 groups of traffic videos contain dangerous scenes, and meanwhile, the acquisition control module can acquire third behavior data of the person to be tested.

Further, on the basis of obtaining the second behavior data and the third behavior data, the acquisition control module may display a group of virtual traffic scenes as a first pretest signal to the person to be tested, acquire a first operation accuracy of the person to be tested under the first pretest signal, display another group of virtual traffic scenes as a first behavior stimulation signal to the person to be tested, and acquire the first behavior data of the person to be tested when the first operation accuracy is greater than or equal to a preset threshold value. Further, the acquisition control module may encode the first behavior data, the second behavior data, and the third behavior data, and store the encoded data in the database.

Before the acquisition control module displays the first pre-test signal, the second pre-test signal and the third pre-test signal to the person to be tested, the acquisition control module can acquire information such as the serial number of the person to be tested input by the person to be tested, and calibrate the test equipment worn by the person to be tested. After the person to be tested completes the tests of the stages, the acquisition control module may further obtain basic information input by the person to be tested, where the basic information may include driving experience information, driving style information, test state information, and the like of the person to be tested. The driving experience information can comprise the driving license type, the driving age, the driving kilometers, the annual average kilometer number, the annual average violation frequency, the number of traffic accidents and the like of the person to be tested; the driving style information may be a driving style obtained by evaluating based on a multidimensional driving style scale, and the driving style may be reckless, anxious, angry, and prudent. The test state information may include a test response and subjective evaluation of the person to be tested.

According to the driving behavior data acquisition method, the acquisition control module can acquire the behavior data of the person to be detected under various types of behavior stimulation signals by displaying various types of behavior stimulation signals such as the direction indication signal, the traffic video and the virtual traffic scene to the person to be detected, and a comprehensive data basis is provided for quantitatively analyzing the individual behavior characteristics of the person to be detected.

In an embodiment, on the basis of the above embodiment, as shown in fig. 5, the driving behavior data collecting method includes:

s401, displaying a second pretest signal to a person to be tested, wherein the second pretest signal is a direction indicating signal.

S402, stress operation information of the person to be tested under the stimulation of the second pretest signal is collected.

And S403, comparing the stress operation information under the second pretest signal with preset operation information corresponding to the second pretest signal, and determining the second operation accuracy of the person to be tested.

S404, determining whether the second operation accuracy is larger than or equal to a preset threshold, if so, executing S405, and if not, returning to execute S401.

S405, displaying a second behavior stimulation signal to the person to be tested, wherein the second behavior stimulation signal is a direction indication signal, and collecting second behavior data of the person to be tested.

And S406, displaying a third pretest signal to the person to be tested, wherein the third pretest signal is a traffic video.

And S407, collecting stress operation information of the person to be tested under the stimulation of the third pretest signal.

And S408, comparing the stress operation information under the third pretest signal with preset operation information corresponding to the third pretest signal, and determining the third operation accuracy of the person to be tested.

And S409, determining whether the third operation accuracy is greater than or equal to a preset threshold, if so, executing S406, and if not, returning to execute S410.

And S410, displaying a third behavior stimulation signal to the person to be tested, wherein the third behavior stimulation is a traffic video, and collecting third behavior data of the person to be tested.

S411, displaying a first pretest signal to a person to be tested, wherein the first pretest signal is a virtual traffic scene.

And S412, collecting stress operation information of the person to be tested under the stimulation of the first pretest signal.

And S413, comparing the stress operation information under the first pretest signal with preset operation information corresponding to the first pretest signal, and determining the first operation accuracy of the person to be tested.

S414, determining whether the first operation accuracy is greater than or equal to a preset threshold, if so, executing S415, and if not, returning to execute S411.

And S415, displaying a first behavior stimulus signal to the person to be tested, wherein the first behavior stimulus is a traffic video, and collecting first behavior data of the person to be tested.

The implementation principle and technical effect of the driving behavior data acquisition method are similar to those of the above embodiments, and are not limited herein.

It should be understood that although the various steps in the flow charts of fig. 2-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-5 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.

In one embodiment, there is provided a driving behavior data testing system, as shown in fig. 6, the system comprising: the device comprises an acquisition control module 101, a visual stimulation display module 102, an operation action acquisition module 103 and a physiological signal acquisition module 104 which are connected with the acquisition control module;

the acquisition control module 101 is used for executing the driving behavior data acquisition method;

the visual stimulation display module 102 is used for presenting behavior stimulation signals to the person to be tested under the control of the acquisition control module;

the operation action acquisition module 103 is used for generating stress operation information according to the stress behavior of the person to be tested based on the behavior stimulation signal;

the physiological signal acquisition module 104 is used for converting physiological characteristics of the person to be tested when the person to be tested executes stress behaviors into physiological characteristic information.

In one embodiment, on the basis of the above-mentioned embodiment, as shown in fig. 7, the operation action acquisition module 103 includes a steering pedal module 1031 for generating steering wheel operation information and brake pedal operation information according to a steering wheel operation and a brake pedal operation performed by a person to be tested.

In an embodiment, on the basis of the above embodiment, as shown in fig. 8, the physiological signal acquisition module 104 includes: an eye movement acquisition module 1041, an electroencephalogram acquisition module 1042, a motion capture module 1043 and a physiological electrical signal acquisition module 1044.

In an embodiment, on the basis of the above embodiment, as shown in fig. 9, the above system further includes: an audio playing module 105 and a simulated driving base 106;

the audio playing module 105 is used for playing a traffic scene sound effect in a virtual traffic scene;

the simulated steering base 106 is used to provide both rotational and translational excitation to the test subject.

In one embodiment, on the basis of the above embodiment, as shown in fig. 10, the system further includes a traffic scene recording module 107 for converting the traffic condition in the virtual traffic scene into traffic information.

The implementation principle and technical effect of the driving behavior data testing system are similar to those of the method embodiments, and are not limited herein.

In one embodiment, as shown in fig. 11, there is provided a driving behavior data collecting apparatus including: presentation unit 10 and acquisition unit 20, wherein:

the display unit 10 is used for displaying the behavior stimulation signals to the person to be tested; the behavioral stimulus signal comprises a virtual traffic scene; the virtual traffic scene is constructed on the basis of clustering analysis on scene cognitive behavior data of a plurality of drivers; the scene cognitive behavior data is obtained based on the stress behavior of a driver on a preset traffic video;

the acquisition unit 20 is configured to acquire behavior data of the person to be tested based on a stress response of the person to be tested to the behavior stimulation signal, where the behavior data includes stress operation information of the person to be tested and physiological characteristic information of the person to be tested when performing stress operation.

In an embodiment, on the basis of the above embodiment, as shown in fig. 12, the apparatus further includes a generating unit 30, specifically configured to: clustering and analyzing scene cognitive behavior data of a plurality of drivers by adopting a preset clustering algorithm to obtain a plurality of traffic video classes; each traffic video in the traffic video class has similar scene cognitive behavior characteristics; carrying out scene reconstruction according to each traffic video class to obtain a plurality of typical scenes; and randomly generating a preset number of virtual traffic scenes by setting variable parameters of a plurality of typical scenes.

In an embodiment, on the basis of the above embodiment, as shown in fig. 13, the apparatus further includes a pretest unit 40, where the pretest unit 40 includes:

a display subunit 41, configured to display the pretest signal to the person to be tested; the pretest signal is of the same type as the behavioral stimulus signal;

the acquisition subunit 42 is configured to acquire stress operation information of the person to be tested under the stimulation of the pretest signal; the stress operation information includes steering wheel operation information and brake pedal operation information;

the determining subunit 43 is configured to determine whether the person to be tested meets a preset test passing requirement according to the stress operation information under the pretest signal;

and the execution subunit 44 is configured to execute the step of displaying the behavior stimulation signal to the person to be tested when the person to be tested meets the test passing requirement.

In an embodiment, on the basis of the foregoing embodiment, the determining subunit 43 is specifically configured to: comparing the stress operation information under the pretest signal with preset operation information corresponding to the pretest signal, and determining the operation accuracy of the personnel to be tested; and if the operation accuracy is greater than or equal to a preset threshold value, determining that the person to be tested meets the preset test passing requirement.

In an embodiment, on the basis of the above embodiment, the execution subunit 44 is further configured to: and when the operation accuracy is smaller than the preset threshold, returning to the step of displaying the pretest signal to the person to be tested until the operation accuracy is larger than or equal to the preset threshold.

In one embodiment, on the basis of the above embodiment, the preset operation information includes a preset operation response within a time window in which a dangerous scene appears in the pretest signal.

In one embodiment, on the basis of the above embodiment, the physiological characteristic information includes eye movement information, brain electrical information, physiological electrical information, and motion posture information.

In one embodiment, on the basis of the above embodiment, as shown in fig. 14, the virtual traffic scene includes a virtual traffic scene video, a virtual traffic scene sound effect, and a rotation stimulus and a translation stimulus provided by a simulated driving base; the apparatus further comprises an interaction unit 50 for: and controlling the sound effect of the traffic scene, the rotary excitation and the translational excitation according to a preset rule, and carrying out real-time interaction with the stress operation information of the personnel to be tested.

In an embodiment, on the basis of the above embodiment, as shown in fig. 15, the above apparatus further includes a recording unit 60 for: and recording the traffic information in the virtual traffic scene under the condition that the person to be tested executes the stress operation.

In one embodiment, on the basis of the above embodiment, the behavior stimulation signal further includes a direction indicating signal and a traffic video; the behavior data comprises first behavior data corresponding to the virtual traffic scene, second behavior data corresponding to the direction indicating signals and third behavior data corresponding to the traffic video.

For specific limitations of the driving behavior data acquisition device, reference may be made to the above limitations of the driving behavior data acquisition method, which are not described herein again. The above-mentioned respective modules in the driving behavior data acquisition device may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 16. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a driving behavior data collection method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 16 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

In one embodiment, the processor, when executing the computer program, further performs the steps of: clustering and analyzing scene cognitive behavior data of a plurality of drivers by adopting a preset clustering algorithm to obtain a plurality of traffic video classes; each traffic video in the traffic video class has similar scene cognitive behavior characteristics; carrying out scene reconstruction according to each traffic video class to obtain a plurality of typical scenes; and randomly generating a preset number of virtual traffic scenes by setting variable parameters of a plurality of typical scenes.

In one embodiment, the processor, when executing the computer program, further performs the steps of: displaying a pre-test signal to a person to be tested; the pretest signal is of the same type as the behavioral stimulus signal; collecting stress operation information of a person to be tested under the stimulation of a pre-test signal; the stress operation information includes steering wheel operation information and brake pedal operation information; determining whether the person to be tested meets the preset test passing requirement or not according to the stress operation information under the pretest signal; and if the person to be tested meets the test passing requirement, performing the step of displaying the behavior stimulation signal to the person to be tested.

In one embodiment, the processor, when executing the computer program, further performs the steps of: comparing the stress operation information under the pretest signal with preset operation information corresponding to the pretest signal, and determining the operation accuracy of the personnel to be tested; and if the operation accuracy is greater than or equal to a preset threshold value, determining that the person to be tested meets the preset test passing requirement.

In one embodiment, the processor, when executing the computer program, further performs the steps of: and if the operation accuracy is smaller than the preset threshold, returning to the step of displaying the pretest signal to the person to be tested until the operation accuracy is larger than or equal to the preset threshold.

In one embodiment, the predetermined operation information includes a predetermined operation response within a time window in which a dangerous scene occurs in the pretest signal.

In one embodiment, the physiological characteristic information includes eye movement information, brain electrical information, physiological electrical information, and motion posture information.

In one embodiment, the virtual traffic scene comprises virtual traffic scene video, virtual traffic scene sound effects, and rotational and translational stimuli provided by a simulated driving base; the processor, when executing the computer program, further performs the steps of: and controlling the sound effect of the traffic scene, the rotary excitation and the translational excitation according to a preset rule, and carrying out real-time interaction with the stress operation information of the personnel to be tested.

In one embodiment, the processor, when executing the computer program, further performs the steps of: and recording the traffic information in the virtual traffic scene under the condition that the person to be tested executes the stress operation.

In one embodiment, the behavioral stimulus signals further include direction indication signals and traffic video; the behavior data comprises first behavior data corresponding to the virtual traffic scene, second behavior data corresponding to the direction indicating signals and third behavior data corresponding to the traffic video.

The implementation principle and technical effect of the computer device provided in this embodiment are similar to those of the method embodiments described above, and are not described herein again.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of: clustering and analyzing scene cognitive behavior data of a plurality of drivers by adopting a preset clustering algorithm to obtain a plurality of traffic video classes; each traffic video in the traffic video class has similar scene cognitive behavior characteristics; carrying out scene reconstruction according to each traffic video class to obtain a plurality of typical scenes; and randomly generating a preset number of virtual traffic scenes by setting variable parameters of a plurality of typical scenes.

In one embodiment, the computer program when executed by the processor further performs the steps of: displaying a pre-test signal to a person to be tested; the pretest signal is of the same type as the behavioral stimulus signal; collecting stress operation information of a person to be tested under the stimulation of a pre-test signal; the stress operation information includes steering wheel operation information and brake pedal operation information; determining whether the person to be tested meets the preset test passing requirement or not according to the stress operation information under the pretest signal; and if the person to be tested meets the test passing requirement, performing the step of displaying the behavior stimulation signal to the person to be tested.

In one embodiment, the computer program when executed by the processor further performs the steps of: comparing the stress operation information under the pretest signal with preset operation information corresponding to the pretest signal, and determining the operation accuracy of the personnel to be tested; and if the operation accuracy is greater than or equal to a preset threshold value, determining that the person to be tested meets the preset test passing requirement.

In one embodiment, the computer program when executed by the processor further performs the steps of: and if the operation accuracy is smaller than the preset threshold, returning to the step of displaying the pretest signal to the person to be tested until the operation accuracy is larger than or equal to the preset threshold.

In one embodiment, the virtual traffic scene comprises virtual traffic scene video, virtual traffic scene sound effects, and rotational and translational stimuli provided by a simulated driving base; the computer program when executed by the processor further realizes the steps of: and controlling the sound effect of the traffic scene, the rotary excitation and the translational excitation according to a preset rule, and carrying out real-time interaction with the stress operation information of the personnel to be tested.

In one embodiment, the computer program when executed by the processor further performs the steps of: and recording the traffic information in the virtual traffic scene under the condition that the person to be tested executes the stress operation.

The computer storage medium provided in this embodiment has similar implementation principles and technical effects to those of the above method embodiments, and is not described herein again.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method of collecting driving behavior data, the method comprising:

displaying the behavior stimulation signal to a person to be tested; the behavioral stimulus signal comprises a virtual traffic scene; the virtual traffic scene is constructed on the basis of clustering analysis on scene cognitive behavior data of a plurality of drivers; the scene cognitive behavior data is obtained based on the stress behavior of the driver on a preset traffic video;

and acquiring behavior data of the personnel to be tested based on the stress response of the personnel to be tested to the behavior stimulation signal, wherein the behavior data comprises stress operation information of the personnel to be tested and physiological characteristic information of the personnel to be tested during the execution of stress operation.

2. The driving behavior data collection method of claim 1, further comprising:

clustering and analyzing the scene cognitive behavior data of the multiple drivers by adopting a preset clustering algorithm to obtain multiple traffic video classes; all the traffic videos in the traffic video class have similar scene cognitive behavior characteristics;

carrying out scene reconstruction according to the traffic videos to obtain a plurality of typical scenes;

and randomly generating a preset number of virtual traffic scenes by setting variable parameters of the plurality of typical scenes.

3. The method according to claim 1, wherein before displaying the behavioral stimulation signal to the person to be tested, the method further comprises:

displaying a pre-test signal to the personnel to be tested; the pretest signal is of the same type as the behavioral stimulus signal;

collecting stress operation information of the person to be tested under the stimulation of the pre-test signal; the stress operation information comprises steering wheel operation information and brake pedal operation information;

determining whether the person to be tested meets a preset test passing requirement or not according to the stress operation information under the pretest signal;

and if the person to be tested meets the test passing requirement, executing the step of displaying the behavior stimulation signal to the person to be tested.

4. The method according to claim 3, wherein the determining whether the person under test meets a preset test passing requirement according to the stress operation information under the pretest signal comprises:

and if the operation accuracy is greater than or equal to a preset threshold value, determining that the personnel to be tested meets the preset test passing requirement.

5. The method of claim 4, further comprising:

and if the operation accuracy is smaller than a preset threshold value, returning to the step of displaying the pretest signal to the personnel to be tested until the operation accuracy is larger than or equal to the preset threshold value.

6. The method of claim 4, wherein the predetermined operation information comprises a predetermined operation response within a time window of occurrence of a dangerous scene in the pretest signal.

7. The method of claim 1, wherein the physiological characteristic information includes eye movement information, brain electrical information, physiological electrical information, and motion gesture information.

8. The method of claim 1, wherein the virtual traffic scene comprises virtual traffic scene video, virtual traffic scene sound effects, and rotational and translational stimuli provided by a simulated driving base; the method further comprises the following steps:

and controlling the traffic scene sound effect, the rotation excitation and the translation excitation according to a preset rule, and carrying out real-time interaction with the stress operation information of the personnel to be tested.

9. The method of claim 8, further comprising:

10. The method according to any one of claims 1-9, wherein the behavioral stimulus signal further comprises a direction indicator signal and a traffic video; the behavior data comprises first behavior data corresponding to the virtual traffic scene, second behavior data corresponding to the direction indication signal and third behavior data corresponding to the traffic video.

11. A driving behavior data testing system, the system comprising: the device comprises an acquisition control module, a visual stimulation display module, an operation action acquisition module and a physiological signal acquisition module, wherein the visual stimulation display module, the operation action acquisition module and the physiological signal acquisition module are connected with the acquisition control module;

the visual stimulation display module is used for displaying a behavior stimulation signal to a person to be tested under the control of the acquisition control module;

the physiological signal acquisition module is used for converting physiological characteristics of the person to be tested when the person to be tested executes the stress behaviors into physiological characteristic information.

12. The system of claim 11, wherein the operation action acquisition module comprises a steering pedal module for generating steering wheel operation information and brake pedal operation information according to steering wheel operation and brake pedal operation performed by the person under test.

13. The system of claim 11, wherein the physiological signal acquisition module comprises: the device comprises an eye movement acquisition module, an electroencephalogram acquisition module, a motion capture module and a physiological electric signal acquisition module.

14. The system of claim 11, further comprising: the audio playing module and the driving simulation base are arranged on the vehicle body;

the simulated driving base is used for providing rotary excitation and translational excitation for the person to be tested.

15. The system of claim 14, further comprising a traffic scene recording module configured to convert traffic conditions in the virtual traffic scene into traffic information.

16. A driving behavior data collection device, the device comprising:

the display unit is used for displaying the behavior stimulation signal to the person to be tested; the behavioral stimulus signal comprises a virtual traffic scene; the virtual traffic scene is constructed on the basis of clustering analysis on scene cognitive behavior data of a plurality of drivers; the scene cognitive behavior data is obtained based on the stress behavior of the driver on a preset traffic video;

and the acquisition unit is used for acquiring the behavior data of the personnel to be tested based on the stress response of the personnel to be tested to the behavior stimulation signal, wherein the behavior data comprises the stress operation information of the personnel to be tested and the physiological characteristic information of the personnel to be tested when the stress operation is executed.

17. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 10 when executing the computer program.

18. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 10.