Voice prompt effect evaluation method and system based on driving behavior classification

Abstract

The invention relates to the technical field of traffic management, and particularly discloses a voice prompt effect evaluation method and system based on driving behavior classification, and the method comprises the steps: screening a to-be-analyzed vehicle from all vehicles according to the illegal information, track information and voice prompt information of all vehicles with illegal behaviors in an analysis period; classifying the to-be-analyzed vehicles according to the illegal information and the voice prompt information of the to-be-analyzed vehicles in the analysis period; obtaining illegal information, track information and accident information of the to-be-analyzed vehicle in the comparison period; respectively calculating the guard rates of the whole to-be-analyzed vehicle and the classified to-be-analyzed vehicles in the comparison period; respectively calculating the accident-free rate of the whole to-be-analyzed vehicle and the accident-free rate of each classified to-be-analyzed vehicle in the comparison period; and according to the calculated voice prompt effect values of the to-be-analyzed vehicles in each classification, determining subsequent disposal suggestions of the to-be-analyzed vehicles in each classification. According to the invention, the accuracy of voice prompt effect analysis can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic management, and more particularly to a method and system for evaluating the effectiveness of voice prompts based on driving behavior classification. Background Art

[0002] In traffic management, the management model for traffic safety hazards is gradually shifting towards proactive prevention. More and more traffic management departments are adopting voice prompts as a mainstream method to raise public safety and legal awareness, reduce violations and accidents. However, traditional analytical methods for evaluating the effectiveness of reminders are crude, simply counting the number of reminders without analyzing the vehicle's response to the voice prompts, categorizing the vehicles that received the prompts, or implementing follow-up measures for the voice prompts. Summary of the Invention

[0003] In order to address the deficiencies in the prior art, the present invention provides a method and system for evaluating the effectiveness of voice prompts based on driving behavior classification, so as to solve the problems in the prior art that the traditional analysis method for evaluating reminder effects is rough, only counting the number of reminders, not analyzing the degree of vehicle response to voice prompts, not classifying the prompted vehicles, and lacking follow-up measures for voice prompts.

[0004] As a first aspect of the present invention, a method for evaluating the effectiveness of voice prompts based on driving behavior classification is provided, comprising: Step S1: Determine the analysis period, comparison period and illegal behavior; Step S2: Obtaining the violation information, trajectory information, and voice prompt information of all vehicles that have committed the violation within the analysis period; Step S3: Filtering out the vehicles to be analyzed from all the vehicles according to the violation information, trajectory information and voice prompt information of all the vehicles in the analysis period; Step S4: classifying the vehicle to be analyzed according to the violation information and voice prompt information of the vehicle to be analyzed during the analysis period; Step S5: Obtaining the violation information, trajectory information, and accident information of the vehicle to be analyzed within the comparison period; Step S6: Calculate the compliance rate of the entire vehicle to be analyzed and each category of vehicles to be analyzed during the comparison period; Step S7: Calculate the accident-free rate of the entire vehicle to be analyzed and each category of vehicles to be analyzed within the comparison period; Step S8: Calculate the voice prompt effectiveness value of each category of vehicles to be analyzed; Step S9: determining subsequent disposal suggestions for each category of vehicles to be analyzed based on the voice prompt effectiveness values ​​of the vehicles to be analyzed in each category.

[0005] Furthermore, the step S2 further includes: Obtaining, from the traffic violation system, violation information of all vehicles that have committed the violation within the analysis period, the violation information including vehicle license plate, violation time, violation location, and violation road; Obtaining trajectory information of all vehicles that have committed the violation within the analysis period from a traffic trajectory system according to the vehicle license plate, wherein the trajectory information includes trajectory time, trajectory location, and trajectory road; The voice prompt information of all vehicles that have committed the illegal behavior within the analysis period is obtained from the voice prompt platform according to the vehicle license plate, wherein the voice prompt information includes the prompt time, the answering situation and the answering time.

[0006] Furthermore, the step S3 further includes: Count the number of violations, the number of trajectories, the number of trajectory days, and the number of voice prompts for each vehicle with the violation during the analysis period, so as to calculate the traffic rate, the average number of trajectories per day, and the voice prompt coverage rate for each vehicle with the violation during the analysis period; From all vehicles that have committed the illegal behavior, vehicles with a traffic rate of not less than 80%, an average daily trajectory number greater than 5, and a voice prompt coverage rate of not less than 80% are selected as the vehicles to be analyzed.

[0007] Furthermore, the calculation formulas for the traffic rate, average daily trajectory number, and voice prompt coverage are as follows: , , , Where Ts is the number of trajectory days in the analysis period, is the number of days in the analysis period, P is the number of trajectories in the analysis period, and Y is the number of voice prompts in the analysis period. is the number of violations during the analysis period.

[0008] Furthermore, the step S4 further includes: According to the dimension of voice prompt response, all vehicles to be analyzed are classified into vehicles with valid prompts, vehicles with invalid prompts, vehicles with uncorrected violations, vehicles with no prompts, and vehicles with no specific prompt response; among them, (1) The vehicles to be analyzed that receive voice prompts after committing illegal behaviors and do not commit similar illegal behaviors within the observation time window are regarded as the effective prompt vehicles. The formula is as follows: , in, For vehicle violations, Answer voice prompts for the vehicle, is the observation time window, For similar illegal acts, For logical NOT, Receiving voice prompts after a vehicle has committed an illegal act. Represents the observation time window Any day within The representative has no similar illegal behavior; (2) The vehicles to be analyzed that receive voice prompts after committing violations and continue to commit similar violations within the observation time window are considered as vehicles with invalid prompts. The formula is as follows: , in, Represents the observation time window Memory exists; (3) The vehicles to be analyzed that have committed more than 2 violations per week for more than 3 consecutive weeks and received voice prompts during this period are considered as the vehicles that have not been corrected. The formula is as follows: , in, For consecutive weeks, For Zhou, Indicates that there is at least a period of more than 3 consecutive weeks. Represents each week number, The number of violations per week is greater than or equal to 2. Answer voice prompts during the representative period; (4) The vehicles to be analyzed that have committed one or more violations during the analysis period and have not answered the voice prompt are considered as the vehicles that have not been prompted. The formula is as follows: , in, The representative did not answer the voice prompt; (5) The vehicles to be analyzed that have committed one or more violations during the analysis period and are not vehicles with valid reminders, vehicles with invalid reminders, vehicles with uncorrected violations, or vehicles without reminders are considered as the vehicles with no reminder response specificity. The formula is as follows: , in, The representative is not a vehicle with a valid reminder, a vehicle with an invalid reminder, a vehicle with a violation that has not been corrected, or a vehicle without a reminder.

[0009] Furthermore, the step S5 further includes: Obtaining the violation information of all vehicles to be analyzed within the comparison period from the traffic violation system, the violation information including vehicle license plate, violation time, violation location and violation road; Obtaining trajectory information of all vehicles to be analyzed within the comparison period from the traffic trajectory system according to the vehicle license plate, wherein the trajectory information includes trajectory time, trajectory location, and trajectory road; The accident information of all vehicles to be analyzed within the comparison period is obtained from the traffic accident system according to the vehicle license plates, wherein the accident information includes general and simple accident information of equal responsibility or above.

[0010] Furthermore, the step S6 further includes: The compliance rate of all vehicles to be analyzed during the comparison period and the compliance rate of each category of vehicles to be analyzed during the comparison period The calculation formulas are as follows: , , in, The total number of vehicles to be analyzed within the analysis period; The number of vehicles without tracks in the comparison period among all vehicles to be analyzed; The number of vehicles that have committed violations within the comparison period among all vehicles to be analyzed; The number of vehicles to be analyzed that belong to the corresponding classification name during the analysis period; The number of vehicles with no track in the comparison period among the vehicles to be analyzed that belong to the corresponding classification name; The number of vehicles to be analyzed that belong to the corresponding classification name and have committed violations during the comparison period.

[0011] Furthermore, the step S7 further includes: The accident-free rate of the entire vehicle to be analyzed during the comparison period and the accident-free rate of each category of vehicles to be analyzed during the comparison period The calculation formulas are as follows: , , in, The number of vehicles involved in accidents within the comparison period among all vehicles to be analyzed; The number of vehicles to be analyzed that belong to the corresponding classification name and have accidents during the comparison period.

[0012] Furthermore, the step S8 further includes: The calculation formula for the voice prompt effectiveness value of each category of vehicles to be analyzed is as follows: , in, The weight of the violation, Represents the weight of the accident.

[0013] As a second aspect of the present invention, a voice prompt effectiveness evaluation system based on driving behavior classification is provided, comprising: The first determination module is used to determine the analysis period, comparison period and illegal behavior; A first acquisition module is used to obtain the violation information, trajectory information and voice prompt information of all vehicles that have committed the violation within the analysis period; A screening module, configured to screen out vehicles to be analyzed from all vehicles based on the violation information, trajectory information, and voice prompt information of all vehicles within the analysis period; A classification module, configured to classify the vehicle to be analyzed according to the violation information and voice prompt information of the vehicle to be analyzed within the analysis period; The second acquisition module is used to obtain the violation information, trajectory information and accident information of the vehicle to be analyzed within the comparison period; The first calculation module is used to calculate the law-abiding rate of the entire vehicle to be analyzed and the law-abiding rate of each category of vehicles to be analyzed during the comparison period; The second calculation module is used to calculate the accident-free rate of the entire vehicle to be analyzed and the vehicle to be analyzed in each category within the comparison period; The third calculation module is used to calculate the voice prompt effectiveness value of each category of vehicles to be analyzed; The second determining module is used to determine subsequent disposal suggestions for each category of vehicles to be analyzed according to the voice prompt effectiveness value of each category of vehicles to be analyzed.

[0014] The voice prompt effectiveness evaluation method and system based on driving behavior classification provided by the present invention have the following advantages: (1) The present invention establishes a classification model through voice prompt responses, classifies the prompted vehicles, analyzes the voice prompt effects of each type of vehicle separately, and improves the accuracy of voice prompt effectiveness analysis; (2) The method of the present invention is versatile and flexible and is applicable to the effectiveness analysis of voice prompts for various illegal behaviors; (3) Through vehicle classification and prompt effect evaluation, the present invention can achieve quantitative evaluation of intervention effects and provide data support for subsequent disposal. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present invention, but do not constitute a limitation of the present invention.

[0016] Figure 1 This is a flow chart of the method for evaluating the effectiveness of voice prompts based on driving behavior classification provided by the present invention.

[0017] Figure 2 This is an architectural diagram of the voice prompt effectiveness evaluation system based on driving behavior classification provided by the present invention. DETAILED DESCRIPTION

[0018] To further illustrate the technical means and effectiveness of the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effectiveness of the voice prompt effectiveness evaluation method and system based on driving behavior classification proposed by the present invention. Obviously, the described embodiments are only a portion of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without inventive effort are within the scope of protection of the present invention.

[0019] In this embodiment, a method for evaluating the effectiveness of voice prompts based on driving behavior classification is provided. Figure 1 As shown, the voice prompt effectiveness evaluation method based on driving behavior classification includes: Step S1: Determine the analysis period, comparison period and illegal behavior; Step S2: Obtaining the violation information, trajectory information, and voice prompt information of all vehicles that have committed the violation within the analysis period; Preferably, the step S2 further includes: Obtaining, from the traffic violation system, violation information of all vehicles that have committed the violation within the analysis period, the violation information including vehicle license plate, violation time, violation location, and violation road; Obtaining trajectory information of all vehicles that have committed the violation within the analysis period from a traffic trajectory system according to the vehicle license plate, wherein the trajectory information includes trajectory time, trajectory location, and trajectory road; The voice prompt information of all vehicles that have committed the illegal behavior within the analysis period is obtained from the voice prompt platform according to the vehicle license plate, wherein the voice prompt information includes the prompt time, the answering situation and the answering time.

[0020] In this embodiment, the classification of answering situations is shown in Table 1 below: Table 1 Classification of answering situations

[0021] Step S3: Filtering out the vehicles to be analyzed from all the vehicles according to the violation information, trajectory information and voice prompt information of all the vehicles in the analysis period; Preferably, the step S3 further includes: Count the number of violations, the number of trajectories, the number of trajectory days, and the number of voice prompts for each vehicle with the violation during the analysis period, so as to calculate the traffic rate, the average number of trajectories per day, and the voice prompt coverage rate for each vehicle with the violation during the analysis period; Specifically, the calculation formulas for the traffic rate, average daily trajectory number, and voice prompt coverage are as follows: , , , Where Ts is the number of trajectory days in the analysis period, is the number of days in the analysis period, P is the number of trajectories in the analysis period, and Y is the number of voice prompts in the analysis period. is the number of violations during the analysis period.

[0022] From all vehicles that have committed the illegal behavior, vehicles with a traffic rate of not less than 80%, an average daily trajectory number greater than 5, and a voice prompt coverage rate of not less than 80% are selected as the vehicles to be analyzed.

[0023] Step S4: classifying the vehicle to be analyzed according to the violation information and voice prompt information of the vehicle to be analyzed during the analysis period; Preferably, the step S4 further includes: Based on the voice prompt response dimension, all vehicles to be analyzed are classified into vehicles with valid prompts, vehicles with invalid prompts, vehicles with uncorrected violations, vehicles with no prompts, and vehicles with no specific prompt responses. The parameters and rules are as follows: :The vehicle has committed an illegal act, : The vehicle answers the voice prompt, : Observation time window (7 days), : Similar illegal acts, : Week (7 days as a cycle), : Week number (number of consecutive weeks), : Logical NOT (not occurred), (1) The vehicles to be analyzed that receive voice prompts after committing illegal behaviors and do not commit similar illegal behaviors within the observation time window are regarded as the effective prompt vehicles. The formula is as follows: , in, Receiving voice prompts after a vehicle has committed an illegal act. Represents the observation time window Any day within The representative has no similar illegal behavior; (2) Answer the voice prompt after the vehicle has committed an illegal act ( ), and still exists within the observation time window ( ) The vehicles to be analyzed with the same type of violations are considered as invalid vehicles. The formula is as follows: , in, Represents the observation time window Memory exists; (3) The vehicles to be analyzed that have committed more than 2 violations per week for more than 3 consecutive weeks and received voice prompts during this period are considered as the vehicles that have not been corrected. The formula is as follows: , in, Indicates that there is at least a period of more than 3 consecutive weeks. Represents each week number, The number of violations per week is greater than or equal to 2. Answer voice prompts during the representative period; (4) The vehicles to be analyzed that have committed one or more violations during the analysis period and have not answered the voice prompt are considered as the vehicles that have not been prompted. The formula is as follows: , in, The representative did not answer the voice prompt; (5) The vehicles to be analyzed that have committed one or more violations during the analysis period and are not vehicles with valid reminders, vehicles with invalid reminders, vehicles with uncorrected violations, or vehicles without reminders are considered as the vehicles with no reminder response specificity. The formula is as follows:

[0024] in, The representative is not a vehicle with a valid reminder, a vehicle with an invalid reminder, a vehicle with a violation that has not been corrected, or a vehicle without a reminder.

[0025] It should be noted that to avoid overlap, the type of vehicle to be analyzed is determined in the following order of priority (from high to low): Vehicles that have not been corrected due to violations, Effectively remind vehicles, Invalid vehicle prompt. No vehicle was indicated. No specific vehicle.

[0026] Step S5: Obtaining the violation information, trajectory information, and accident information of the vehicle to be analyzed within the comparison period; Preferably, the step S5 further includes: Obtaining the violation information of all vehicles to be analyzed within the comparison period from the traffic violation system, the violation information including vehicle license plate, violation time, violation location and violation road; Obtaining trajectory information of all vehicles to be analyzed within the comparison period from the traffic trajectory system according to the vehicle license plate, wherein the trajectory information includes trajectory time, trajectory location, and trajectory road; The accident information of all vehicles to be analyzed within the comparison period is obtained from the traffic accident system according to the vehicle license plates, wherein the accident information includes general and simple accident information of equal responsibility or above.

[0027] Step S6: Calculate the compliance rate of the entire vehicle to be analyzed and each category of vehicles to be analyzed during the comparison period; Preferably, the step S6 further includes: The compliance rate of all vehicles to be analyzed during the comparison period and the compliance rate of each category of vehicles to be analyzed during the comparison period The calculation formulas are as follows: , , in, The total number of vehicles to be analyzed within the analysis period; The number of vehicles without tracks in the comparison period among all vehicles to be analyzed; The number of vehicles that have committed violations within the comparison period among all vehicles to be analyzed; The number of vehicles to be analyzed that belong to the corresponding classification name (e.g., valid reminder vehicles) during the analysis period; The number of vehicles with no track in the comparison period among the vehicles to be analyzed that belong to the corresponding classification name (e.g., valid prompt vehicles); The number of vehicles to be analyzed that belong to the corresponding classification name (for example, effective reminder vehicles) and have committed violations within the comparison period.

[0028] Step S7: Calculate the accident-free rate of the entire vehicle to be analyzed and each category of vehicles to be analyzed within the comparison period; Preferably, the step S7 further includes: The accident-free rate of the entire vehicle to be analyzed during the comparison period and the accident-free rate of each category of vehicles to be analyzed during the comparison period The calculation formulas are as follows: , , in, The number of vehicles involved in accidents within the comparison period among all vehicles to be analyzed; The number of vehicles to be analyzed that belong to the corresponding classification name (for example, valid reminder vehicles) and have accidents during the comparison period.

[0029] Step S8: Calculate the voice prompt effectiveness value of each category of vehicles to be analyzed; Preferably, the step S8 further includes: The calculation formula for the voice prompt effectiveness value of each category of vehicles to be analyzed is as follows: , in, The weight of the violation, Indicates the weight of the accident, which will be adjusted based on actual conditions.

[0030] Step S9: Determine subsequent disposal suggestions for each category of vehicles to be analyzed based on the voice prompt effectiveness values ​​of the vehicles to be analyzed in each category, as shown in Table 2 below.

[0031] Table 2

[0032] As another embodiment of the present invention, Figure 2 As shown, a voice prompt effectiveness evaluation system based on driving behavior classification is provided, and the voice prompt effectiveness evaluation system based on driving behavior classification includes: The first determination module is used to determine the analysis period, comparison period and illegal behavior; A first acquisition module is used to obtain the violation information, trajectory information and voice prompt information of all vehicles that have committed the violation within the analysis period; A screening module, configured to screen out vehicles to be analyzed from all vehicles based on the violation information, trajectory information, and voice prompt information of all vehicles within the analysis period; A classification module, configured to classify the vehicle to be analyzed according to the violation information and voice prompt information of the vehicle to be analyzed within the analysis period; The second acquisition module is used to obtain the violation information, trajectory information and accident information of the vehicle to be analyzed within the comparison period; The first calculation module is used to calculate the law-abiding rate of the entire vehicle to be analyzed and the law-abiding rate of each category of vehicles to be analyzed during the comparison period; The second calculation module is used to calculate the accident-free rate of the entire vehicle to be analyzed and the vehicle to be analyzed in each category within the comparison period; The third calculation module is used to calculate the voice prompt effectiveness value of each category of vehicles to be analyzed; The second determining module is used to determine subsequent disposal suggestions for each category of vehicles to be analyzed according to the voice prompt effectiveness value of each category of vehicles to be analyzed.

[0033] The voice prompt effectiveness evaluation method based on driving behavior classification provided by the present invention establishes a driving behavior classification model through multi-dimensional data such as vehicle trajectory, time of historical violations, and voice prompts, classifies vehicles, and analyzes the effectiveness of voice prompts based on the accidents and violations after the prompts. It aims to evaluate the effectiveness of voice prompts through scientific data analysis methods and propose subsequent disposal strategies based on the effectiveness results.

[0034] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as a preferred embodiment, it is not intended to limit the present invention. Any technician familiar with the present profession can make slight changes or modifications to equivalent embodiments using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A method for evaluating the effectiveness of voice prompts based on driving behavior classification, characterized in that: include: Step S1: Determine the analysis period, comparison period and illegal behavior; Step S2: Obtaining the violation information, trajectory information, and voice prompt information of all vehicles that have committed the violation within the analysis period; Step S3: Filtering out the vehicles to be analyzed from all the vehicles according to the violation information, trajectory information and voice prompt information of all the vehicles in the analysis period; Step S4: classifying the vehicle to be analyzed according to the violation information and voice prompt information of the vehicle to be analyzed during the analysis period; Step S5: Obtaining the violation information, trajectory information, and accident information of the vehicle to be analyzed within the comparison period; Step S6: Calculate the compliance rate of the entire vehicle to be analyzed and each category of vehicles to be analyzed during the comparison period; Step S7: Calculate the accident-free rate of the entire vehicle to be analyzed and each category of vehicles to be analyzed within the comparison period; Step S8: Calculate the voice prompt effectiveness value of each category of vehicles to be analyzed; Step S9: determining subsequent disposal suggestions for each category of vehicles to be analyzed based on the voice prompt effectiveness values ​​of the vehicles to be analyzed in each category.

2. The method for evaluating the effectiveness of voice prompts based on driving behavior classification according to claim 1, characterized in that: The step S2 further includes: Obtaining, from the traffic violation system, violation information of all vehicles that have committed the violation within the analysis period, the violation information including vehicle license plate, violation time, violation location, and violation road; Obtaining trajectory information of all vehicles that have committed the violation within the analysis period from a traffic trajectory system according to the vehicle license plate, wherein the trajectory information includes trajectory time, trajectory location, and trajectory road; The voice prompt information of all vehicles that have committed the illegal behavior within the analysis period is obtained from the voice prompt platform according to the vehicle license plate, wherein the voice prompt information includes the prompt time, the answering situation and the answering time.

3. The method for evaluating the effectiveness of voice prompts based on driving behavior classification according to claim 1, characterized in that: The step S3 further includes: Count the number of violations, the number of trajectories, the number of trajectory days, and the number of voice prompts for each vehicle with the violation during the analysis period, so as to calculate the traffic rate, the average number of trajectories per day, and the voice prompt coverage rate for each vehicle with the violation during the analysis period; From all vehicles that have committed the illegal behavior, vehicles with a traffic rate of not less than 80%, an average daily trajectory number greater than 5, and a voice prompt coverage rate of not less than 80% are selected as the vehicles to be analyzed.

4. The method for evaluating the effectiveness of voice prompts based on driving behavior classification according to claim 3, characterized in that: The calculation formulas for the traffic rate, average daily number of trajectories, and voice prompt coverage are as follows: ， ， ， Where Ts is the number of trajectory days in the analysis period, is the number of days in the analysis period, P is the number of trajectories in the analysis period, and Y is the number of voice prompts in the analysis period. is the number of violations during the analysis period.

5. The method for evaluating the effectiveness of voice prompts based on driving behavior classification according to claim 1, characterized in that: The step S4 further includes: According to the dimension of voice prompt response, all vehicles to be analyzed are classified into vehicles with valid prompts, vehicles with invalid prompts, vehicles with uncorrected violations, vehicles with no prompts, and vehicles with no specific prompt response; among them, (1) The vehicles to be analyzed that receive voice prompts after committing illegal behaviors and do not commit similar illegal behaviors within the observation time window are regarded as the effective prompt vehicles. The formula is as follows: ， in, For vehicle violations, Answer voice prompts for the vehicle, is the observation time window, For similar illegal acts, For logical NOT, Receiving voice prompts after a vehicle has committed an illegal act. Represents the observation time window Any day within The representative has no similar illegal behavior; (2) The vehicles to be analyzed that receive voice prompts after committing violations and continue to commit similar violations within the observation time window are considered as vehicles with invalid prompts. The formula is as follows: ， in, Represents the observation time window Memory exists; (3) The vehicles to be analyzed that have committed more than 2 violations per week for more than 3 consecutive weeks and received voice prompts during this period are considered as the vehicles that have not been corrected. The formula is as follows: ， in, For consecutive weeks, For Zhou, Indicates that there is at least a period of more than 3 consecutive weeks. Represents each week number, The number of violations per week is greater than or equal to 2. Answer voice prompts during the representative period; (4) The vehicles to be analyzed that have committed one or more violations during the analysis period and have not answered the voice prompt are considered as the vehicles that have not been prompted. The formula is as follows: ， in, The representative did not answer the voice prompt; (5) The vehicles to be analyzed that have committed one or more violations during the analysis period and are not vehicles with valid reminders, vehicles with invalid reminders, vehicles with uncorrected violations, or vehicles without reminders are considered as the vehicles with no reminder response specificity. The formula is as follows: ， in, The representative is not a vehicle with a valid reminder, a vehicle with an invalid reminder, a vehicle with a violation that has not been corrected, or a vehicle without a reminder.

6. The method for evaluating the effectiveness of voice prompts based on driving behavior classification according to claim 1, characterized in that: The step S5 further includes: Obtaining the violation information of all vehicles to be analyzed within the comparison period from the traffic violation system, the violation information including vehicle license plate, violation time, violation location and violation road; Obtaining trajectory information of all vehicles to be analyzed within the comparison period from the traffic trajectory system according to the vehicle license plate, wherein the trajectory information includes trajectory time, trajectory location, and trajectory road; The accident information of all vehicles to be analyzed within the comparison period is obtained from the traffic accident system according to the vehicle license plates, wherein the accident information includes general and simple accident information of equal responsibility or above.

7. The method for evaluating the effectiveness of voice prompts based on driving behavior classification according to claim 1, characterized in that: The step S6 further includes: The compliance rate of all vehicles to be analyzed during the comparison period and the compliance rate of each category of vehicles to be analyzed during the comparison period The calculation formulas are as follows: ， ， in, The total number of vehicles to be analyzed within the analysis period; The number of vehicles without tracks in the comparison period among all vehicles to be analyzed; The number of vehicles that have committed violations within the comparison period among all vehicles to be analyzed; The number of vehicles to be analyzed that belong to the corresponding classification name during the analysis period; The number of vehicles with no track in the comparison period among the vehicles to be analyzed that belong to the corresponding classification name; The number of vehicles to be analyzed that belong to the corresponding classification name and have committed violations during the comparison period.

8. The method for evaluating the effectiveness of voice prompts based on driving behavior classification according to claim 7, characterized in that: The step S7 further includes: The accident-free rate of the entire vehicle to be analyzed during the comparison period and the accident-free rate of each category of vehicles to be analyzed during the comparison period The calculation formulas are as follows: ， ， in, The number of vehicles involved in accidents within the comparison period among all vehicles to be analyzed; The number of vehicles to be analyzed that belong to the corresponding classification name and have accidents during the comparison period.

9. The method for evaluating the effectiveness of voice prompts based on driving behavior classification according to claim 8, characterized in that: The step S8 further includes: The calculation formula for the voice prompt effectiveness value of each category of vehicles to be analyzed is as follows: ， in, The weight of the violation, Represents the weight of the accident.

10. A voice prompt effectiveness evaluation system based on driving behavior classification, used to implement the voice prompt effectiveness evaluation method based on driving behavior classification according to any one of claims 1 to 9, characterized in that: The voice prompt effectiveness evaluation system based on driving behavior classification includes: The first determination module is used to determine the analysis period, comparison period and illegal behavior; A first acquisition module is used to obtain the violation information, trajectory information and voice prompt information of all vehicles that have committed the violation within the analysis period; A screening module, configured to screen out vehicles to be analyzed from all vehicles based on the violation information, trajectory information, and voice prompt information of all vehicles within the analysis period; A classification module, configured to classify the vehicle to be analyzed according to the violation information and voice prompt information of the vehicle to be analyzed within the analysis period; The second acquisition module is used to obtain the violation information, trajectory information and accident information of the vehicle to be analyzed within the comparison period; The first calculation module is used to calculate the law-abiding rate of the entire vehicle to be analyzed and the law-abiding rate of each category of vehicles to be analyzed during the comparison period; The second calculation module is used to calculate the accident-free rate of the entire vehicle to be analyzed and the vehicle to be analyzed in each category within the comparison period; The third calculation module is used to calculate the voice prompt effectiveness value of each category of vehicles to be analyzed; The second determining module is used to determine subsequent disposal suggestions for each category of vehicles to be analyzed according to the voice prompt effectiveness value of each category of vehicles to be analyzed.

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