Driving scoring training system and method based on simulated driving

Abstract

The invention relates to a driving scoring training system and method based on simulated driving. The driving scoring training system based on simulated driving comprises a simulated driving cabin, a simulated driving simulator, a simulated data server, an information collecting and scoring module and a feedback training data generator, when a driver issues an operation command in the simulated driving cabin, a command signal is transmitted to the simulated driving simulator, and the simulated driving simulator is used for simulating the driving of the driver; the simulation data server generates a virtual model of the vehicle and the road condition, and feelings information is fed back to a driver; the information collecting and scoring module scores the complete driving behaviors and gives driving training suggestions; and the feedback training data generator generates a new training simulation model for training the driver according to the driving training suggestions and by combining the existing training model route data and traffic data. According to the driving scoring training system based on simulated driving, the driving skill of a driver can be improved in a targeted manner, the road safety risk is reduced, and the problem is prevented from occurring again.

Description

Technical Field

[0001] The present invention relates to the technical field of simulated driving, and in particular to a driving scoring training system and method based on simulated driving. Background Art

[0002] With the development of vehicle manufacturing technology, the threshold for driving a vehicle is getting lower and lower. The skills of drivers vary, new vehicle manufacturers and car manufacturers compete with each other, and new vehicle intelligent driving technology is constantly iterating. It is very difficult to skillfully drive all models on the market.

[0003] This has also brought about some problems. In the existing driving training system, it is difficult to solve the following problems: 1. It is impossible to master basic knowledge in actual operation. The questionnaire answers only contain knowledge information. There is no way to fully match the vehicle functions, and there is no way to ensure that users can remember specific knowledge points during actual driving; 2. There is a lack of training for low-probability and high-risk scenarios. Under normal circumstances, emergency scenarios will not occur. When drivers really encounter special situations, they can only respond through stress reactions, and the possibility of mistakes is very high; 3. There is a lack of feedback training on driving results. After the driver finishes the actual driving, an overall score is given. After getting the score, it is difficult for the driver to restore the actual problem scene and cannot deliberately practice the part of the operation error to avoid the recurrence of the problem; for the driver himself, some low-probability problems are always faced with the dilemma of not being able to conduct effective training.

[0004] Therefore, in response to the existing problems, there is an urgent need to develop a solution that can be oriented to driver training, based on simulated driving technology, training simulation routes, and targeted simulation training for drivers to achieve the training purpose of positive feedback. Summary of the invention

[0005] The technical problem to be solved by the present invention is how to realize simulation training of high-risk road conditions in various real scenarios during simulated driving, and provide real-time feedback to the driver, as well as targeted exercises and feedback.

[0006] To solve the above technical problems, according to one aspect of the present invention, a driving scoring training system based on simulated driving is provided, which comprises: a simulated cockpit, the simulated cockpit has a simulated vehicle appearance, an external mobile device including a mechanical arm and a supporting slide rail, a simulated vehicle central control including a display screen and driving instructions, and a simulated driving controller including an accelerator, a brake, a gear lever, and a steering wheel; wherein, when the driver issues an operation command including starting, shifting, accelerating, braking, and steering in the simulated driving controller, the command signal is transmitted to the simulated driving simulator through a data transmission link; when it is necessary to simulate the feedback information of the road surface during driving, the perception information including visual, acoustic, optical, vibration, shaking, acceleration, and impact is fed back to the driver through a simulated data server; the simulated driving simulator is used to receive the driver's operation command signal from the simulated cockpit, simulate the vehicle driving state, and combine it with the real-time virtual road conditions, Simulate the status information generated by the vehicle driving under virtual road conditions; the simulation data server presets the simulation information by importing the content including vehicles, roads, traffic and weather, generates a virtual model of the vehicle and road conditions, and generates interactive information including vision, sound, light, vibration, acceleration and collision for display to the simulation cabin according to the current status; the information collection and scoring module collects information including driver input operation commands, vehicle simulation and road condition simulation from the simulation driving simulator during the simulated driving process, scores the complete driving behavior and gives driving training suggestions; the feedback training data generator generates training route model data according to the driving training suggestions and combines the existing training model route data and traffic data, and imports it to the simulation information server for generating new training simulation models for training drivers, so as to improve the driver's driving skills and reduce road safety risks.

[0007] According to an embodiment of the present invention, the information collection and scoring module can formulate scoring rules for evaluating driving behavior based on the operating commands input by the driver, the status of the vehicle and the road condition information, including: driver operation evaluation, vehicle status evaluation, road condition simulation evaluation, comprehensive safety evaluation, energy saving and environmental protection evaluation, and comprehensive score calculation.

[0008] According to an embodiment of the present invention, the driver operation evaluation may include the scoring of the acceleration and deceleration smoothness, steering control, brake use, and throttle control of the driver's operations; the vehicle status evaluation includes the scoring of the matching of vehicle speed with speed limit, vehicle distance control, and compliance with road signs; the road condition simulation evaluation includes the scoring of environmental adaptability, pedestrian and obstacle avoidance, and road condition response; the comprehensive safety evaluation includes the scoring of accident avoidance, traffic code compliance, and driving fatigue; the energy conservation and environmental protection evaluation includes the scoring of fuel efficiency and exhaust emissions; the comprehensive score calculation is based on a comprehensive score of driving behavior including weight allocation, deduction mechanism, and full score definition to quantify the driver's overall performance.

[0009] According to an embodiment of the present invention, the feedback training data generator may generate a new training simulation model, and generate a training route model by one or more methods including system default, user selection, and training suggestion.

[0010] According to an embodiment of the present invention, based on the problem items reflected in the scoring of the driver's behavior by the information collection and scoring module, combined with the system preset route data, simulated training road scene data is customized for the driver and imported into the simulation server for generating new simulated training data.

[0011] According to an embodiment of the present invention, the feedback training data generator can provide the driver with intensive training simulated road conditions. After the simulated driving, the information collection and scoring module will give a second scoring opinion. If there are still driving problems, feedback training data will be generated again until the driver's driving skills are satisfactory.

[0012] According to an embodiment of the present invention, the steering wheel and brake of the SU simulated driving controller can adopt the steering wheel and brake of a racing simulator, such as fanatec, Logitech, etc.

[0013] According to another aspect of the present invention, a driving scoring training method based on simulated driving is provided. The driving scoring training method is implemented based on the driving scoring training system based on simulated driving as described above. The driving scoring training method based on simulated driving includes the following steps: Step S1, the simulation data server initializes the data model database, and provides the loadable route and vehicle information to the subsequent operation process; Step S2, the simulation road route and the training vehicle are specified by the system default, the driver selection, or the feedback training data generator, and loaded as the basic data of the current driving training; Step S3, the simulation data server loads the specified model data, loads and initializes the complete data model, and renders and initializes the data information including the environment, weather, road, traffic, and vehicle in real time, and initializes the driving state of the simulated cockpit including the driving gear, brake throttle, door and window status, and indicator light status; Step S4, after receiving the vehicle start operation, the simulated cockpit normally starts the simulated driving process, and imports the received actual input command into the simulated driving simulator during the process; Step S5, the simulated driving simulator simulates the driving state of the vehicle in the simulated environment through the user's simulated driving behavior, and during the driving process, the simulation result is fed back to the driver through the simulated cockpit feedback link.

[0014] According to an embodiment of the present invention, the driving scoring training method based on simulated driving may also include: step S6, an information collection and scoring module, which collects driving information during the entire driving process, and for problems including safety, violations, collisions, and accidents generated during driving, after the simulated driving is completed, the process is scored as a whole according to the problems that occurred during the process and their severity, and the simulated environment where the current problem occurs is recorded. Step S7, after the scoring is output, if there are obvious problems, the feedback training data generator generates training data in a targeted manner based on the existing problem scenarios, and exports them, and the simulation data server generates the next simulation training data, and returns to step S3; if no problems are found, the training is exited.

[0015] Compared with the prior art, the technical solution provided by the embodiments of the present invention can at least achieve the following beneficial effects:

[0016] The driving scoring training system and method based on simulated driving according to the present invention enable the driver to master basic knowledge in actual operation, and the vehicle model can be selected to achieve complete matching of vehicle functions; for the training of low-probability and high-risk scenarios, under normal circumstances, emergency scenarios will not occur. When the driver really encounters special situations, the simulation training ensures that the user can remember the specific knowledge points during the actual driving process; the driving results have feedback training, and an overall score is given after the driver's actual driving is completed. After getting the score, the driver restores the actual problem scene and deliberately practices the part of the operation error to avoid the recurrence of the problem; for the driver himself, some problems with low probability but extremely dangerous can be effectively trained.

[0017] The driving scoring training system and method based on simulated driving of the present invention extracts the scenes where problems occur by a feedback training data generator, and splices them to generate reinforced training data, so as to provide the driver with targeted training data, and the training effect is good; the problem information generated during the driver's simulated driving process, such as safety, violation, collision, accident, etc., is collected, and scenes prone to problems are derived from the results, so as to have strong traceability; by giving the driver repeated reinforced training, the problem scenes can be repeatedly reinforced in the simulated training scenes, so as to achieve better training effect.

[0018] The driving scoring training system and method based on simulated driving of the present invention are universal. By simulating routes and vehicles, the driving states and behaviors of a considerable number of vehicles on the market in actual scenarios can be simulated, achieving richness and diversity that cannot be achieved in actual road training.

[0019] The present invention provides a feedback training scheme based on simulated driving. Through its flexible design, it can effectively solve the limitations of traditional driving training and meet the diverse needs of modern vehicle driving training. With the deployment and development of various vehicle technologies, the present invention is expected to be widely used and promoted around the world. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments will be briefly introduced below. Obviously, the drawings in the following description only relate to some embodiments of the present invention, but are not intended to limit the present invention.

[0021] Figure 1 FIG. 4 is a flow chart showing a driving score training method based on simulated driving according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment 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.

[0023] Unless otherwise defined, the technical or scientific terms used herein shall have the common meanings understood by persons with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the patent application specification and claims of the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Similarly, words such as "one" or "a" do not indicate a quantity limitation, but indicate the existence of at least one.

[0024] According to one or some embodiments of the present invention, a driving scoring training system based on simulated driving includes: a simulated cockpit, a simulated driving simulator, a simulated data server, an information collection and scoring module, and a feedback training data generator.

[0025] The simulated cockpit has a simulated vehicle appearance, an external moving device including a mechanical arm and a supporting slide rail, a simulated vehicle central control including a display screen and driving instructions, and a simulated driving controller including an accelerator, brake, gear lever, and steering wheel; when the driver issues operating commands including starting, shifting, accelerating, braking, and steering in the simulated driving controller, the command signal is transmitted to the simulated driving simulator through a data transmission link; when it is necessary to simulate road surface feedback information during driving, the perception information including sight, sound, light, vibration, shaking, acceleration, and impact is fed back to the driver through a simulated data server.

[0026] The simulated driving simulator is used to receive the driver's operation command signal from the simulated cockpit, simulate the vehicle driving status, and combine with the real-time virtual road conditions to simulate the status information generated by the vehicle driving under the virtual road conditions.

[0027] The simulation data server presets simulation information by importing content including vehicles, roads, traffic, and weather, generates virtual models of vehicles and road conditions, and generates interactive information including sight, sound, light, vibration, acceleration, and impact for display to the simulation cabin based on the current status.

[0028] During the simulated driving process, the information collection and scoring module collects information including driver input operation commands, vehicle simulation, and road condition simulation from the simulated driving simulator, scores the complete driving behavior, and provides driving training suggestions.

[0029] The feedback training data generator generates training route model data according to the driving training opinions and combines the existing training model route data and traffic data, and imports it into the simulation information server to generate a new training simulation model for training drivers, so as to improve the driver's driving skills and reduce road safety risks.

[0030] According to one or some embodiments of the present invention, the information collection and scoring module formulates scoring rules for evaluating driving behavior based on the operating commands input by the driver, the status of the vehicle and the road condition information, including: driver operation evaluation, vehicle status evaluation, road condition simulation evaluation, comprehensive safety evaluation, energy saving and environmental protection evaluation, and comprehensive score calculation.

[0031] According to one or some embodiments of the present invention, the driver operation evaluation includes the scoring of the acceleration and deceleration smoothness, steering control, brake use, and throttle control of the driver's operations; the vehicle status evaluation includes the scoring of the matching of vehicle speed with speed limit, vehicle distance control, and compliance with road signs; the road condition simulation evaluation includes the scoring of environmental adaptability, pedestrian and obstacle avoidance, and road condition response; the comprehensive safety evaluation includes the scoring of accident avoidance, traffic code compliance, and driving fatigue; the energy conservation and environmental protection evaluation includes the scoring of fuel efficiency and exhaust emissions; the comprehensive score calculation is based on a comprehensive score of driving behavior including weight allocation, deduction mechanism, and full score definition to quantify the driver's overall performance.

[0032] Driver operation evaluation is based on the score of the smoothness of the driver's acceleration and deceleration operation, among which smooth acceleration and deceleration are scored higher, while sudden acceleration and sudden braking are scored lower; steering control is based on the score of the driver's steering control, among which smooth steering and not deviating from the lane are scored higher, while sharp turns or frequent changes of direction are scored lower; brake use is scored based on the driver's use of brakes, among which timely and gentle use of brakes are scored higher, while frequent sudden braking or unnecessary braking are scored lower; throttle control is scored based on the driver's throttle control, among which maintaining a reasonable vehicle speed and throttle input are scored higher, while sudden acceleration or maintaining excessively high speeds are scored lower.

[0033] For vehicle status assessment, based on the matching of vehicle speed with speed limit, a higher score will be given for reasonably controlling the vehicle speed according to road conditions, while a lower score will be given for speeding too much over or below the speed limit; based on vehicle distance control, a higher score will be given for maintaining a safe distance from the vehicle in front, while a lower score will be given for following the vehicle too closely; based on road sign compliance, a higher score will be given for complying with traffic signals, signs and markings, while a lower score will be given for illegal driving or ignoring traffic lights.

[0034] In the road condition simulation assessment, based on environmental adaptability, the score for adjusting driving behavior according to weather, light and other factors (such as slowing down in rainy days and turning on lights at night) is higher, and the score for not making timely adjustments is lower; based on pedestrian and obstacle avoidance, the score for timely avoiding pedestrians and obstacles is higher, and the score for failing to avoid them is lower; based on response to road conditions, the response performance when faced with special road conditions such as slippery and bumpy roads is higher, and the score for not adjusting driving behavior is lower.

[0035] For the comprehensive safety assessment, based on accident avoidance, a higher score is given for avoiding accidents or conflicts, while a lower score is given for collisions or accidents. Based on traffic rule compliance, a higher score is given for overall compliance with traffic rules, while a lower score is given for violating traffic regulations. Based on driving fatigue, a higher score is given for maintaining good attention and reaction ability, while a lower score is given for fatigued driving behavior.

[0036] For energy conservation and environmental protection assessment, based on fuel consumption efficiency, economical driving and reduced fuel consumption will be scored higher, while unreasonable driving that leads to excessive fuel consumption will be scored lower; based on exhaust emissions, gentle driving will be scored higher, while aggressive driving that leads to increased exhaust emissions will be scored lower.

[0037] Comprehensive score calculation, weight distribution, each evaluation dimension can be set with different weights to ensure that key factors such as safety and compliance have a higher score impact; formulate a deduction mechanism, which can be set for serious violations of traffic rules or accidents; define the full score, which is usually set to 100 points, and deduct or add points based on deviations in driving behavior. Based on these dimensions, driving behavior can be comprehensively scored to quantify the driver's overall performance.

[0038] According to one or some embodiments of the present invention, the feedback training data generator generates a new training simulation model, and generates a training route model by one or more methods including system default, user selection, and training suggestion.

[0039] According to one or some embodiments of the present invention, based on the problem items reflected in the scoring of the driver's behavior by the information collection and scoring module, combined with the system preset route data, simulated training road scenario data is customized for the driver and imported into the simulation server for generating new simulated training data.

[0040] According to one or some embodiments of the present invention, the feedback training data generator provides the driver with intensive training simulated road conditions. After the simulated driving, the information collection and scoring module gives a second scoring opinion. If there are still driving problems, feedback training data is generated again until the driver's driving skills are satisfactory.

[0041] According to one or some embodiments of the present invention, the steering wheel and brakes of the SU simulated driving controller adopt the steering wheel and brakes of a racing simulator, such as fanatec, Logitech, etc.

[0042] The driving scoring training system based on simulated driving according to the present invention enables the driver to master basic knowledge in actual operation, and the vehicle model can be selected to achieve complete matching of vehicle functions; for the training of low-probability and high-risk scenarios, under normal circumstances, emergency scenarios will not occur. When the driver really encounters special situations, the simulation training ensures that the user can remember the specific knowledge points during the actual driving process; the driving results have feedback training, and an overall score is given after the driver's actual driving is completed. After getting the score, the driver restores the actual problem scene and deliberately practices the part of the operation error to avoid the recurrence of the problem; for the driver himself, some problems with low probability but extremely dangerous can be effectively trained.

[0043] Figure 1 FIG. 4 is a flow chart showing a driving score training method based on simulated driving according to an embodiment of the present invention.

[0044] like Figure 1 As shown, the driving scoring training method based on simulated driving includes the following steps:

[0045] Step S1: The simulation data server initializes the data model database and provides loadable route and vehicle information to subsequent operation processes.

[0046] Step S2: The simulated road route and training vehicle are specified by the system default, driver selection, or feedback training data generator, and loaded as basic data for the current driving training.

[0047] Step S3, the simulation data server loads the specified model data, loads and initializes the complete data model, and initializes the real-time rendering of the data information including the environment, weather, road, traffic, and vehicle, and initializes the driving status of the simulated cockpit including the driving gear, brake throttle, door and window status, and indicator light status.

[0048] Step S4: After receiving the vehicle start operation, the simulated cockpit normally starts the simulated driving process, and during the process, the received actual input command is imported into the simulated driving simulator.

[0049] Step S5: The simulated driving simulator simulates the driving state of the vehicle in the simulated environment through the simulated driving behavior of the user, and during the driving process, feeds back the simulation results to the driver through the simulated cockpit feedback link.

[0050] Step S6, the information collection and scoring module collects driving information during the entire driving process, and for problems arising during driving, including safety, violations, collisions, and accidents, after the simulated driving is completed, the process is scored overall according to the problems that occurred during the process and their severity, and the simulated environment where the current problem occurs is recorded.

[0051] Step S7: After the scoring is output, if there are obvious problems, the feedback training data generator will generate training data in a targeted manner based on the existing problem scenarios and export them. The simulation data server will generate the next simulation training data and return to step S3; if no problems are found, the training will be exited.

[0052] The driving scoring training system and method based on simulated driving of the present invention extracts the scenes where problems occur by a feedback training data generator, and splices them to generate reinforced training data, so as to provide the driver with targeted training data, and the training effect is good; the problem information generated during the driver's simulated driving process, such as safety, violation, collision, accident, etc., is collected, and scenes prone to problems are derived from the results, so as to have strong traceability; by giving the driver repeated reinforced training, the problem scenes can be repeatedly reinforced in the simulated training scenes, so as to achieve better training effect.

[0053] The driving scoring training system and method based on simulated driving of the present invention are universal. By simulating routes and vehicles, the driving states and behaviors of a considerable number of vehicles on the market in actual scenarios can be simulated, achieving richness and diversity that cannot be achieved in actual road training. The present invention provides a feedback training program based on simulated driving. Through its flexible design, it can effectively solve the limitations of traditional driving training and meet the diverse needs of modern vehicle driving training. With the deployment and development of various vehicle technologies, the present invention is expected to be widely used and promoted around the world.

[0054] The above description is merely an exemplary embodiment of the present invention and is not intended to limit the protection scope of the present invention. The protection scope of the present invention is determined by the appended claims.

Claims

1. A driving scoring training system based on simulated driving, comprising: A simulated cockpit, wherein the simulated cockpit has a simulated vehicle appearance, an external mobile device including a mechanical arm and a supporting slide rail, a simulated vehicle central control including a display screen and driving instructions, and a simulated driving controller including an accelerator, a brake, a gear lever, and a steering wheel; wherein, when the driver issues an operation command including starting, shifting, accelerating, braking, and steering in the simulated driving controller, the command signal is transmitted to the simulated driving simulator through a data transmission link; when it is necessary to simulate road surface feedback information during driving, the perception information including visual, acoustic, optical, vibration, shaking, acceleration, and impact is fed back to the driver through a simulated data server; The driving simulator is used to receive the driver's operation command signal from the simulated cockpit, simulate the vehicle driving state, and combine the real-time virtual road conditions to simulate the state information generated by the vehicle driving under the virtual road conditions; The simulation data server imports content including vehicles, roads, traffic, and weather to preset simulation information, generate virtual models of vehicles and road conditions, and generate interactive information including vision, sound, light, vibration, acceleration, and impact for display to the simulation cabin based on the current status; The information collection and scoring module collects information including driver input operation commands, vehicle simulation, and road condition simulation from the driving simulator during the simulated driving process, scores the complete driving behavior, and provides driving training advice; The feedback training data generator generates training route model data according to the driving training opinions and combines the existing training model route data and traffic data, and imports it into the simulation information server to generate a new training simulation model for training drivers, so as to improve the driver's driving skills and reduce road safety risks.

2. The driving scoring training system based on simulated driving as claimed in claim 1, wherein: The information collection and scoring module formulates scoring rules for evaluating driving behavior based on the operating commands input by the driver, the vehicle status and road condition information, including: driver operation evaluation, vehicle status evaluation, road condition simulation evaluation, comprehensive safety evaluation, energy conservation and environmental protection evaluation, and comprehensive score calculation.

3. The driving scoring training system based on simulated driving as claimed in claim 2, wherein: in, The driver operation evaluation includes the scoring of the driver's acceleration and deceleration smoothness, steering control, brake use, and throttle control; the vehicle status evaluation includes the scoring of vehicle speed and speed limit matching, vehicle distance control, and road sign compliance; the road condition simulation evaluation includes the scoring of environmental adaptability, pedestrian and obstacle avoidance, and road condition response; the comprehensive safety evaluation includes the scoring of accident avoidance, traffic regulations compliance, and driving fatigue; the energy conservation and environmental protection evaluation includes the scoring of fuel efficiency and exhaust emissions; the comprehensive score calculation is based on a comprehensive score of driving behavior including weight allocation, deduction mechanism, and full score definition to quantify the driver's overall performance.

4. The driving scoring training system based on simulated driving as claimed in claim 1, wherein: The feedback training data generator generates a new training simulation model and generates a training route model through one or more methods including system default, user selection, and training suggestion.

5. The driving scoring training system based on simulated driving as claimed in claim 1, wherein: Based on the problem items reflected in the scoring of the driver's behavior by the information collection and scoring module, combined with the system preset route data, simulated training road scene data is customized for the driver and imported into the simulation server for generating new simulated training data.

6. The driving scoring training system based on simulated driving as claimed in claim 1, wherein: The feedback training data generator provides the driver with simulated road conditions for intensive training. After the simulated driving, the information collection and scoring module gives a second scoring opinion. If there are still driving problems, feedback training data is generated again until the driver's driving skills are satisfactory.

7. The driving scoring training system based on simulated driving as claimed in claim 1, wherein: The steering wheel and brake of the simulated driving controller described in Su adopt the steering wheel and brake of the racing simulator.

8. A driving scoring training method based on simulated driving, wherein the driving scoring training method is implemented based on the driving scoring training system based on simulated driving according to any one of claims 1 to 7, and the driving scoring training method based on simulated driving comprises the following steps: Step S1, the simulation data server initializes the data model database and provides loadable route and vehicle information to subsequent operation processes; Step S2: the simulated road route and training vehicle are specified by the system default, driver selection, or feedback training data generator, and loaded as basic data for current driving training; Step S3, the simulation data server loads the specified model data, loads and initializes the complete data model, and renders and initializes the data information including environment, weather, road, traffic, and vehicle in real time, and initializes the driving status of the simulated cockpit including driving gear, brake throttle, door and window status, and indicator light status; Step S4: After receiving the vehicle start operation, the simulated cockpit normally starts the simulated driving process, and during the process, the received actual input command is imported into the simulated driving simulator; Step S5: The simulated driving simulator simulates the driving state of the vehicle in the simulated environment through the simulated driving behavior of the user, and during the driving process, feeds back the simulation results to the driver through the simulated cockpit feedback link.

9. The driving scoring training method based on simulated driving as claimed in claim 8, further comprising: Step S6, the information collection and scoring module collects driving information during the entire driving process, and for problems arising during driving, including safety, violations, collisions, and accidents, after the simulated driving is completed, the process is scored overall according to the problems that occurred during the process and their severity, and the simulated environment where the current problem occurs is recorded.

10. The driving scoring training method based on simulated driving according to claim 9, further comprising: Step S7: After the scoring is output, if there are obvious problems, the feedback training data generator generates training data in a targeted manner according to the existing problem scenarios, and exports them. The simulation data server generates the next simulation training data, and returns to step S3; If no problems are found, exit the training.

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