Road traffic safety risk assessment method and device for accurate propaganda

Abstract

The present application relates to the technical field of computer, disclose the road traffic safety risk assessment method and device for accurate propaganda, the present application obtains the corresponding traffic violation behavior, traffic accident and corresponding user responsibility of target personnel in the behavior table based on the target personnel identification in the user table, carries out classification processing, obtains multiple traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories;Based on the weight and score corresponding to the different traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories set in advance, the total score corresponding to the target personnel is calculated;Based on the total score, the risk assessment result corresponding to the target personnel is determined, the traffic safety accurate propaganda is carried out from two dimensions of "individual precision" and "group precision", which provides reference for formulating and optimizing traffic safety propaganda education strategy, preventing and reducing road traffic accidents, and improving the accuracy and effectiveness of traffic safety propaganda education.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer, in particular to a road traffic safety risk assessment method and device for accurate propaganda and education. BACKGROUND

[0002] When formulating a propaganda and education scheme for a driver based on the traffic risk of the driver, the traffic safety risks caused by the driver need to be manually judged one by one, and then the corresponding propaganda and education content is formulated according to the judgment result. However, with the rapid growth of people, vehicles and roads, the data of traffic violations and traffic accidents also show the characteristics of large quantity and rapid update, which requires a surge in the cost of human labor, low evaluation efficiency, and may cause large errors in the evaluation of traffic risks due to various human factors. SUMMARY

[0003] Therefore, the present application provides a road traffic safety risk assessment method and device for accurate propaganda and education to solve the problem of low efficiency and poor accuracy of traffic safety risk assessment by manual method in the related art.

[0004] In a first aspect, the present application provides a road traffic safety risk assessment method for accurate propaganda and education, which comprises:

[0005] Based on the target personnel identifier in the user table, the traffic violation behaviors, traffic accidents and corresponding user responsibilities of the target personnel are obtained in the behavior table, and the user table and the behavior table are associated by the personnel identifier; all the obtained traffic violation behaviors, traffic accidents and corresponding user responsibilities are classified respectively to obtain a plurality of traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories; based on the pre-set weights and scores corresponding to different traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories, the total score corresponding to the target personnel is calculated; and based on the total score, the risk assessment result corresponding to the target personnel is determined.

[0006] The road traffic safety risk assessment method for accurate propaganda and education provided by the present application obtains the traffic violation behaviors, traffic accidents and corresponding user responsibilities of the target user, classifies them to obtain a plurality of traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories, calculates the total score corresponding to the target personnel based on the pre-set weights and scores corresponding to different traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories, and determines the risk assessment result corresponding to the target personnel based on the total score. Only the traffic violation behaviors and accident types of the driver need to be classified, and then the total score of the driver is calculated based on the classification result to obtain the risk assessment result of the driver, which reduces the cost of manual risk assessment, improves the evaluation efficiency, and makes the evaluation of traffic risk more accurate.

[0007] In an optional implementation, the user table further includes a group type to which the person belongs, and the behavior table further includes an accident occurrence frequency and a casualty rate corresponding to each traffic violation behavior, and the method further includes: acquiring all traffic violation behaviors corresponding to all persons belonging to a target group and the accident occurrence frequency and the casualty rate corresponding to each traffic violation behavior; and performing clustering processing on the accident occurrence frequency and the casualty rate corresponding to each traffic violation behavior to determine a risk assessment result of the target group based on each traffic violation behavior.

[0008] The application further assesses the risk assessment result of the target group based on each traffic violation behavior through the accident occurrence frequency and the casualty rate corresponding to each traffic violation behavior of the target group, and can assess the risk result through a user, a group, an enterprise, and the like, and more comprehensive factors are considered.

[0009] In an optional implementation, the method further includes: determining a propaganda and education mode corresponding to the target person based on the risk assessment result of the target person and / or the risk assessment result of the target group based on each traffic violation behavior.

[0010] The application can determine the propaganda and education mode through only the risk assessment result of the target person, only the risk assessment result of the target group based on each traffic violation behavior, or both, effectively solves the problems of insufficient targeting and low content matching degree of propaganda and education audience analysis, improves the accuracy and effectiveness of traffic safety propaganda and education, and prevents and reduces road traffic accidents.

[0011] In an optional implementation, the method further includes:

[0012] Based on the risk assessment result of the target person and / or the risk assessment result of the target group based on each traffic violation behavior, a risk point summary table is generated, and the risk point summary table is associated with the user table and the behavior table through a user identifier.

[0013] The application generates a risk point summary table based on the risk assessment result of the target person and the risk assessment result of the target group based on each traffic violation behavior, and associates the risk point summary table with the user table and the behavior table, and can directly determine what kind of risk exists in the target person through the user identifier, which is convenient for subsequent implementation of measures against the risk.

[0014] In an optional implementation, the method further comprises: generating a propaganda and education table based on the corresponding propaganda and education mode of the target person, and associating the propaganda and education table with the risk assessment result and the risk point summary table.

[0015] The application generates a propaganda and education table based on the corresponding propaganda and education mode of the target person, and associates the propaganda and education table with the risk point summary table, which can not only directly determine the risk of the target person, but also directly determine the propaganda and education that the target person needs to receive based on the risk, facilitating the target person to learn accurately and improving the level of road traffic safety.

[0016] In an optional implementation, the total score corresponding to the target person is calculated based on the pre-set weights and scores corresponding to different traffic violation behavior categories, traffic accident categories, and corresponding user responsibility categories, comprising: obtaining all traffic violations corresponding to the target person, calculating a first score corresponding to all traffic violations based on the category corresponding to each traffic violation and the weights and scores corresponding to different traffic violation behavior categories; obtaining all traffic accidents in the traffic accident set and corresponding user responsibilities, calculating a second score corresponding to all traffic accidents and corresponding user responsibilities based on the weights and scores corresponding to different traffic accident categories, the weights and scores corresponding to different user responsibility categories of any traffic accident category; and adding the first score and the second score to obtain the total score corresponding to the target person.

[0017] The application calculates the total score corresponding to the target person based on the weights and scores corresponding to the traffic violation behavior category, the weights and scores corresponding to different traffic accident categories, and the weights and scores corresponding to different user responsibility categories of any traffic accident category, improving the accuracy of risk assessment of the target person.

[0018] In an optional implementation, the accident frequency and casualty rate corresponding to all traffic violations are clustered to determine the risk assessment result of the target group based on each traffic violation, comprising: setting a preset number of risk categories as initial clustering center points; taking the accident frequency and casualty rate corresponding to each traffic violation as a group of sample data; calculating the similarity distance between the current sample data and each initial clustering center point, and classifying the traffic violation corresponding to the current sample data into the risk category with the shortest similarity distance; updating the initial clustering center points until the updated new clustering center points are the same as the initial clustering center points, and determining the risk category corresponding to each traffic violation; and determining the risk assessment result of the target group based on each traffic violation based on the determined risk category corresponding to each traffic violation.

[0019] The application sets initial clustering center points, takes the accident occurrence frequency and casualty rate corresponding to each traffic violation as a group of sample data, calculates the similarity of the current sample data and each initial clustering center point, classifies the traffic violation corresponding to the current sample data into the risk category with the shortest similarity distance, updates the initial clustering center points, until the new clustering center points after updating are the same as the initial clustering center points, and the risk category corresponding to each traffic violation is determined, the data classification processing algorithm is simple and fast, not only improves the accuracy of target group risk assessment, but also improves the efficiency of risk assessment.

[0020] In a second aspect, the application provides a risk assessment device, which comprises: a data acquisition module, configured to acquire, based on a target person identifier in a user table, traffic violations, traffic accidents and corresponding user responsibilities of the target person in a behavior table, the user table and the behavior table being associated by the person identifier; a data classification module, configured to classify all acquired traffic violations, traffic accidents and corresponding user responsibilities respectively to obtain a plurality of traffic violation categories, traffic accident categories and corresponding user responsibility categories; a score calculation module, configured to calculate a total score corresponding to the target person based on pre-set weights and scores corresponding to different traffic violation categories, traffic accident categories and corresponding user responsibility categories respectively; and a risk assessment module, configured to determine a risk assessment result corresponding to the target person based on the total score.

[0021] In a third aspect, the application provides a computer device, which comprises a memory and a processor, the memory and the processor being communicatively connected, the memory storing computer instructions, and the processor executing the computer instructions to perform the road traffic safety risk assessment method for precise propaganda in the first aspect or any of the corresponding embodiments thereof.

[0022] In a fourth aspect, the application provides a computer readable storage medium, which stores computer instructions for causing a computer to perform the road traffic safety risk assessment method for precise propaganda in the first aspect or any of the corresponding embodiments thereof. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the specific embodiments of the application or the technical solutions in the prior art, the drawings needed in the specific embodiments or the prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0024] Figure 1is a flowchart of a road traffic safety risk assessment method for precise propaganda according to an embodiment of the present application;

[0025] Figure 2 is a table correlation diagram of a road traffic safety risk assessment method for precise propaganda according to an embodiment of the present application;

[0026] Figure 3 is a flowchart of another road traffic safety risk assessment method for precise propaganda according to an embodiment of the present application;

[0027] Figure 4 is a flowchart of still another road traffic safety risk assessment method for precise propaganda according to an embodiment of the present application;

[0028] Figure 5 is a structural block diagram of a road traffic safety risk assessment device for precise propaganda according to an embodiment of the present application;

[0029] Figure 6 is a hardware structure schematic diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0031] With the rapid growth of people, vehicles and roads, traffic violation and traffic accident data also show the characteristics of big data, such as large quantity, fast update and high value. The traditional mechanical, extensive and motion type of propaganda and education is difficult to meet the needs of the development of the big data era and the digital society, and there are problems such as insufficient audience analysis targeting, insufficient precision of wide propaganda and education, and low content matching degree to varying degrees. There is a lack of research and analysis of the characteristics of traffic participants, traffic violations and traffic accidents, and there is no distinction between urgency and non-urgency, classification and hierarchical measures, and it is difficult to achieve the goal of targeted traffic safety precise propaganda and education for accident prevention.

[0032] The application provides a road traffic safety risk assessment and accurate propaganda method and device, and a computer device, traffic violations, traffic accidents and corresponding user responsibilities of a target user are obtained, and the traffic violations, traffic accidents and corresponding user responsibilities are classified to obtain a plurality of traffic violation categories, traffic accident categories and corresponding user responsibility categories, the total score of the target person is calculated based on the weights and scores corresponding to different traffic violation categories, traffic accident categories and corresponding user responsibility categories preset in advance, the risk assessment result corresponding to the target person is determined based on the total score, the traffic behaviors caused by the driver are only classified, the total score of the driver is calculated based on the classification result, and the risk assessment result of the driver is obtained, the cost of manual risk assessment is reduced, the evaluation efficiency is improved, and the traffic risk is more accurate.

[0033] According to the embodiment of the application, a road traffic safety risk assessment method for accurate propaganda is provided.

[0034] In the embodiment, a road traffic safety risk assessment method for accurate propaganda is provided, which can be used for the computer device described above, Figure 1 The flowchart of the road traffic safety risk assessment method for accurate propaganda according to the embodiment of the application is shown in FIG. Figure 1 The flowchart includes the following steps:

[0035] In step S101, the traffic violations, traffic accidents and corresponding user responsibilities corresponding to the target person are obtained from the behavior table based on the target person identifier in the user table.

[0036] The user table and the behavior table are associated by the person identifier.

[0037] The user table and the behavior table in the embodiment of the application can be stored in a road traffic safety accurate propaganda education database, as shown in FIG. Figure 2 The user table can include a user identifier, a gender, a user name, a birth date, a driving license date, a driving license type, an update date and the like, the user identifier can be a user mobile phone number, the user table and the behavior table are associated, the user ID can be used for representation, the birth date can be used for calculating the age, the driving license date can be used for calculating the driving age, and the like, which are only examples, the behavior table can include a user identifier, a vehicle ID, a behavior code, a behavior name, a behavior description, an occurrence date, an occurrence time, a location and the like, the behavior name and the behavior description can include the traffic violations, traffic accidents and corresponding user responsibilities corresponding to the user identifier.

[0038] The embodiment of the application extracts the corresponding traffic violation behaviors, traffic accidents and corresponding user responsibilities of the target person in the behavior table based on the identification of the target person.

[0039] In step S102, all the traffic violation behaviors, traffic accidents and corresponding user responsibilities obtained are respectively classified to obtain multiple traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories.

[0040] In the embodiment of the application, the traffic violation behaviors include many, such as drunk driving, driving while talking on the phone, running a red light, etc. At this time, all the traffic violation behaviors can be divided into multiple categories, and the specific categories can be set according to actual needs. In the embodiment of the application, all the traffic violation behaviors are divided into three categories, namely special traffic violation category, key traffic violation category and general traffic violation category. The special traffic violation mainly includes revoking the driving license for driving a motor vehicle while drunk (drunk driving, driving a commercial vehicle while drunk, driving again while drunk, etc.), driving a vehicle that has reached the scrapping standard on the road, continuing to drive after taking state-controlled psychotropic drugs or narcotic drugs, continuing to drive while suffering from diseases that hinder safe driving of a motor vehicle, escaping after causing a traffic accident, etc. The key traffic violation mainly includes driving a motor vehicle in the opposite direction, driving a motor vehicle while drunk, fatigue driving, making or receiving a handheld phone call while driving (watching a mobile phone, using WeChat, etc.), driving a motor vehicle without following the traffic signal light passing regulation, not stopping to let pedestrians pass when encountering pedestrians passing through a pedestrian crossing, not letting straight vehicles or pedestrians go first when turning, not letting vehicles or pedestrians in the same direction or turning to the left go first when right-turning a motor vehicle, not letting vehicles or pedestrians that have been given priority to pass first at a light-controlled intersection, etc. The general traffic violation mainly includes speeding, driving a truck with overload, driving a truck with passengers in violation of the regulation, passenger vehicle overloading, not keeping a necessary safety distance from the front vehicle, not reversing according to the regulation, opening or closing the vehicle door to affect the passing of other vehicles and pedestrians, changing lanes in violation of the prohibition marking line, not driving according to the guide lane, not changing lanes according to the regulation, making a U-turn at a place marked with a U-turn prohibition or left-turn prohibition marking line, making a U-turn at a road section prone to danger, hindering the normal driving of vehicles and pedestrians when making a U-turn, the length, width and height of the cargo carried by the motor vehicle exceeding the regulation, not overtaking according to the regulation, not letting pedestrians and vehicles coming from the right go first, not letting vehicles turning to the left go first, not avoiding pedestrians when passing through a road without a traffic signal, driving a vehicle while barefoot or wearing slippers or high heels, and other behaviors that hinder safe driving.

[0041] The embodiment of the present application can also classify all traffic accidents and corresponding user responsibilities into multiple categories, wherein the specific categories can also be set according to actual needs, and the embodiment of the present application classifies all traffic accidents into three categories, namely, fatal accident, general traffic accident not involving fatal accident, and simple accident, and classifies user responsibilities according to accident responsibilities into full responsibility, main responsibility, equal responsibility, secondary responsibility and no responsibility, which are only examples.

[0042] In step S103, the total score value corresponding to the target person is calculated based on the weights and scores corresponding to different traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories respectively.

[0043] The embodiment of the present application can assign different weights and scores to different traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories based on the importance of different categories, wherein the weights and scores can be determined by human experience, and then all traffic violations, traffic accidents and corresponding user responsibilities of the target person in the preset time period can be scored according to the corresponding categories and multiplied by the weights, and finally all traffic violations are added to obtain the total score value of the target person.

[0044] In step S104, the risk assessment result corresponding to the target person is determined based on the total score value.

[0045] In the embodiment of the present application, different total score values correspond to different risk assessment levels, and multiple threshold ranges can be divided, wherein different threshold ranges correspond to different risk assessment levels, and the number of threshold ranges can be set according to actual needs, and the embodiment of the present application divides four threshold ranges, for example, the total score value is in (80, + 80), which represents the most serious traffic risk, and the risk assessment level is “red”, the total score value is in [50, 80], which represents more serious traffic risk, and the risk assessment level is “orange”, the total score value is in (0, 50), which represents general traffic risk, and the risk assessment level is “yellow”, and the total score value is 0, which represents no traffic risk, and the risk assessment level is “green”, which are only examples.

[0046] ​The road traffic safety risk assessment method for accurate propaganda provided by the application, by obtaining the traffic violations, traffic accidents and corresponding user responsibilities of the target user, classifying them, obtaining multiple traffic violation categories, traffic accident categories and corresponding user responsibility categories, and based on the weights and scores corresponding to the different traffic violation categories, traffic accident categories and corresponding user responsibility categories preset in advance, calculating the total score corresponding to the target personnel, determining the risk assessment result corresponding to the target personnel based on the total score, only the traffic violations and accident types of the driver need to be classified, and then the total score of the driver is calculated based on the classification result, so that the risk assessment result of the driver can be obtained, the cost of manual risk assessment is reduced, the evaluation efficiency is improved, and the traffic risk evaluated is more accurate.

[0047] In the embodiment, a road traffic safety risk assessment method for accurate propaganda is provided, which can be used in the mobile terminal such as a mobile phone, a tablet computer and the like. Figure 3 The flowchart of the road traffic safety risk assessment method for accurate propaganda according to the embodiment of the application is shown in FIG. Figure 3 The flowchart includes the following steps:

[0048] In step S301, the traffic violations, traffic accidents and corresponding user responsibilities corresponding to the target personnel are obtained from the behavior table based on the target personnel identifier in the user table, wherein the user table and the behavior table are associated by the personnel identifier. For details, please refer to step S101 of the embodiment shown in FIG. Figure 1 The details are not repeated here.

[0049] In step S302, all the traffic violations, traffic accidents and corresponding user responsibilities obtained are classified respectively to obtain multiple traffic violation categories, traffic accident categories and corresponding user responsibility categories. For details, please refer to step S102 of the embodiment shown in FIG. Figure 1 The details are not repeated here.

[0050] In step S303, the total score corresponding to the target personnel is calculated based on the weights and scores corresponding to the different traffic violation categories, traffic accident categories and corresponding user responsibility categories preset in advance. For details, please refer to step S103 of the embodiment shown in FIG. Figure 1 The details are not repeated here.

[0051] In step S304, the risk assessment result corresponding to the target personnel is determined based on the total score. For details, please refer to step S104 of the embodiment shown in FIG. Figure 1 The details are not repeated here.

[0052] In step S305, all traffic violations of all personnel belonging to the target group are obtained, and the accident occurrence frequency and casualty rate corresponding to each traffic violation are obtained. The accident occurrence frequency and casualty rate corresponding to all traffic violations are clustered to determine the risk assessment result of the target group corresponding to each traffic violation.

[0053] The user table further includes the group type to which the personnel belong, and the behavior table further includes the accident occurrence frequency and casualty rate corresponding to each traffic violation.

[0054] In the embodiments of the present application, the user table further includes the group type to which the user belongs. The group type can be divided into passenger drivers, freight drivers, private car drivers, and online car drivers. The behavior table can further include the accident occurrence frequency and casualty rate corresponding to each traffic violation. The accident occurrence frequency can be obtained by the ratio of the number of accidents of the target group to the number of accidents of all groups. The casualty rate can be obtained by the ratio of the number of deaths to the number of casualties in an accident. This is only an example.

[0055] The risk assessment result can be divided into four categories, i.e., "high casualty rate and high occurrence frequency", "high casualty rate and low occurrence frequency", "low casualty rate and high occurrence frequency", and "low casualty rate and low occurrence frequency", and correspond to four risk levels, i.e., "red, orange, yellow, and green". No traffic violation can also lead to an accident. This is only an example. The accident occurrence frequency and casualty rate corresponding to all traffic violations are clustered to determine which category each traffic violation belongs to. The clustering method is not limited. For example, the EM (Expectation Maximization) algorithm is used to cluster the accident occurrence frequency and casualty rate corresponding to all traffic violations. The distribution parameters are initialized. The expected estimation value of the current traffic violation belonging to the four categories is given according to the initialized parameter value. The maximum likelihood estimation value of the current initialized parameter value is given according to the expected estimation value of the four categories. The iteration is repeated until convergence. At this time, the expected value of the current traffic violation belonging to which category is the maximum. The current traffic violation can be classified into the risk category corresponding to the maximum expected value, thereby determining the risk assessment result of the target group corresponding to each traffic violation.

[0056] Specifically, the EM algorithm performs calculations in two alternating steps. The first step is to calculate the expectation (E), using existing estimates of the hidden variables to calculate their maximum likelihood estimates. The second step is to maximize (M), maximizing the maximum likelihood obtained in the E step to calculate the parameter values. The parameter estimates found in the M step are used in the next E step calculation, and this process is repeated until convergence. Gaussian mixture models are a type of EM algorithm. When performing Gaussian mixture model clustering analysis, it is assumed that all samples come from several normal populations with different parameter controls. The given sample set is... We will use implicit category labels This indicates that... First, let's assume... The parameters are satisfied The multinomial distribution, using In the E-step, assuming all normal distribution parameters and multinomial distribution parameters, then given... Calculate a belonging to The probability distribution. In the M-step, then... Find the maximum value, and use this to adjust the parameters. Perform estimation. Repeat the following steps iteratively to solve the Gaussian mixture model:

[0057] (E-step) Note for each and ,calculate

[0058]

[0059] (M-step) Update parameters

[0060]

[0061]

[0062]

[0063] This invention also assesses the risk assessment results of the target group based on the frequency of accidents and the casualty rate corresponding to each traffic violation. This invention can assess risk results not only through users, but also through groups, enterprises, etc., and considers more comprehensive factors.

[0064] Specifically, step S305 includes:

[0065] Step S3051: Set a preset number of risk categories as initial cluster centers.

[0066] Step S3052, taking the accident occurrence frequency and casualty rate corresponding to each traffic violation as a set of sample data; calculating the similarity distance between the current sample data and each initial clustering center point, and classifying the traffic violation corresponding to the current sample data into the risk category with the shortest similarity distance.

[0067] Step S3053, updating the initial clustering center point until the new clustering center point after updating is the same as the initial clustering center point in position, and determining the risk category corresponding to each traffic violation.

[0068] Step S3054, determining the risk assessment result corresponding to each traffic violation of the target group based on the determined risk category corresponding to each traffic violation.

[0069] The embodiment of the application sets four risk categories as initial clustering centers, takes the accident occurrence frequency and casualty rate corresponding to each traffic violation as a set of sample data, determines a similarity distance measurement function, and based on the encoded accident data, when comparing, if the attribute values are the same, 1 is recorded; if different, 0 is recorded. Then sum the comparison values of the used attribute items, which is the similarity distance of two accident data. Start iterative update operation, calculate the similarity distance between each sample data and each clustering center, classify the sample into the class with the shortest distance, and update the clustering center position. Use the mean method to update the center point position of each class. Repeat the above operation until each clustering center value remains unchanged, and the risk assessment result corresponding to each traffic violation can be obtained.

[0070] The application sets initial clustering center points, takes the accident occurrence frequency and casualty rate corresponding to each traffic violation as a set of sample data, calculates the similarity distance between the current sample data and each initial clustering center point, classifies the traffic violation corresponding to the current sample data into the risk category with the shortest similarity distance, updates the initial clustering center point until the new clustering center point after updating is the same as the initial clustering center point in position, and determines the risk category corresponding to each traffic violation. The data classification processing algorithm is simple and fast, which not only improves the accuracy of the target group risk assessment, but also improves the efficiency of the risk assessment.

[0071] Step S306, determining the propaganda and education method corresponding to the target person based on the risk assessment result corresponding to the target person and / or the risk assessment result corresponding to each traffic violation of the target group to which the target person belongs.

[0072] In the embodiments of the present application, corresponding propaganda and education can be performed according to the risk assessment result corresponding to the determined target person, for example, the propaganda and education corresponding to the "red" level is special education, early warning, propaganda and the like, the propaganda and education corresponding to the "orange" level is early warning, propaganda and the like, the propaganda and education corresponding to the "yellow" level is propaganda and the like, and the "green" level indicates no traffic risk, and no propaganda and education is performed on the target person, which is only an example.

[0073] In the embodiments of the present application, corresponding propaganda and education can be performed only according to the risk assessment result corresponding to each traffic violation behavior of the target group to which the target person belongs. For a traffic violation behavior with a high casualty rate, a typical accident case needs to be used for warning, the harm and consequences of which are highlighted, and the accident party present, accident scene pictures or videos and the like are added as appropriate to achieve a shocking warning effect. For a traffic violation behavior with a high occurrence frequency, theme education films, serial special films, course videos and special learning materials need to be used to regularly carry out centralized and intensive special education activities. At the same time, wide-ranging auxiliary short, quick traffic safety propaganda and prompt reminders and prompt pushing are carried out, which are only examples. Different propaganda and education are performed on different risk levels based on the above steps, for example, the propaganda and education corresponding to the "red" level is special education, early warning, propaganda and the like, the propaganda and education corresponding to the "orange" level is early warning, special education, for example, typical cases are exposed, face-to-face warning education, warning videos are watched, and warning information is pushed, the propaganda and education corresponding to the "light orange" level is special education, propaganda and the like, for example, traffic safety special films, theme education films and video courses are used to regularly carry out face-to-face and point-to-point special education activities, and the propaganda and education corresponding to the "yellow" level is propaganda and the like, for example, short and eye-catching slogans, short texts, prompt sounds, pictures and the like are used for point-to-point propaganda and prompting, which are only examples.

[0074] In the embodiments of the present application, corresponding propaganda and education can be performed according to the risk assessment result corresponding to the target person, and corresponding propaganda and education can be performed according to each traffic violation behavior of the group to which the target person belongs, so that the education is more comprehensive.

[0075] The present application can determine the propaganda and education method only through the risk assessment result corresponding to the target person, only through the risk assessment result corresponding to each traffic violation behavior of the target group to which the target person belongs, or in combination of the two, effectively solves the problems of insufficient targeting of propaganda and education audience analysis and low content matching degree, improves the accuracy and effectiveness of traffic safety propaganda and education, and prevents and reduces road traffic accidents.

[0076] Step S307, based on the risk assessment result corresponding to the target person, and / or the target group to which the target person belongs based on the risk assessment result corresponding to each traffic violation behavior, generate a risk point summary table, and associate the risk point summary table with the user table and the behavior table through the user identification.

[0077] The embodiment of the present application obtains the risk assessment result corresponding to the target person, and the risk assessment result corresponding to each traffic violation behavior based on the target group to which the target person belongs, generates a risk point summary table, as shown in Figure 2 The risk point summary table can include user ID, vehicle ID (default vehicle identification number), risk point code, risk point, risk point description, record time, etc., wherein the risk point represents the risk assessment result, the risk point code represents the identification of each risk assessment result, the risk point description can represent the total score of the target person corresponding to the risk assessment result, etc. The risk point summary table can also be saved in the road traffic safety precision propaganda and education database, and is associated with the user table and the behavior table through the user ID.

[0078] The road traffic safety precision propaganda and education database of the embodiment of the present application can also include a risk point code table, which can include a risk point code, a risk point, a risk point description, a modification time, etc., and can be associated with the risk point summary table through the risk point code.

[0079] The present application generates a risk point summary table based on the risk assessment result corresponding to the target person and the risk assessment result corresponding to each traffic violation behavior based on the target group to which the target person belongs, and associates the risk point summary table with the user table and the behavior table, so that the risk of the target person can be directly determined through the user identification, and subsequent measures can be taken according to the risk.

[0080] Step S308, based on the propaganda and education method corresponding to the target person, generate a propaganda and education table, and associate the propaganda and education table with the risk assessment result and the risk point summary table.

[0081] The embodiment of the present application generates a propaganda and education table based on the risk assessment result, and can save it in the road traffic safety precision propaganda and education database, and associate it with the risk point summary table through the risk point code.

[0082] In specific embodiments, as Figure 2As shown, the propaganda education table can be divided into a propaganda table, including a risk point code, a risk point, a knowledge point, a group type, a propaganda object, an attachment, a content link URL, etc., a warning table, including a risk point code, a case name, a case description, a risk point, a warning object, a date of occurrence, a time of occurrence, a place of occurrence, etc., an education table, including a risk point code, a risk point, a knowledge point, an education object, an education content, an attachment, a content link URL (Uniform Resource Locator, web address), etc. Different tables represent different propaganda education methods, and the three tables can also be associated according to the risk point code. The association method and specific content of the user table, the behavior table, etc. Please refer to Figure 2 Wherein K can be used to represent the association identifier between the tables, which will not be repeated here.

[0083] The present application generates a propaganda education table according to the corresponding propaganda education method of the target personnel, and associates the propaganda education table with the risk point summary table, which not only can directly determine what kind of risk the target personnel exists, but also can directly determine which propaganda education the target personnel based on the risk needs to accept, facilitate the target personnel to carry out accurate learning, and then improve the level of road traffic safety.

[0084] In the present embodiment, a road traffic safety risk assessment method for accurate propaganda education is provided, which can be used in the above-mentioned computer device, Figure 4 is a flowchart of the road traffic safety risk assessment method for accurate propaganda education according to the embodiment of the present application, as Figure 4 shown, the flowchart includes the following steps:

[0085] Step S401, based on the target personnel identifier in the user table, obtaining the corresponding traffic violation behavior, traffic accident and corresponding user responsibility of the target personnel in the behavior table, wherein the user table and the behavior table are associated by the personnel identifier. For details, please refer to Figure 3 Step S301 as shown, which will not be repeated here.

[0086] Step S402, classifying all the obtained traffic violation behaviors, traffic accidents and corresponding user responsibilities respectively to obtain a plurality of traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories. For details, please refer to Figure 3 Step S302 as shown, which will not be repeated here.

[0087] Step S403, based on the pre-set different traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories respectively corresponding to the weight and score, calculating the total score corresponding to the target personnel.

[0088] Specifically, the above-mentioned step S403 includes:

[0089] Step S4031, all traffic violations corresponding to the target person are obtained, and a first score corresponding to all traffic violations is calculated based on a category corresponding to each traffic violation and a weight and score corresponding to different traffic violation categories.

[0090] Step S4032, all traffic accidents in the traffic accident set and corresponding user responsibilities are obtained, and a second score corresponding to all traffic accidents and corresponding user responsibilities is calculated based on a weight and score corresponding to different traffic accident categories, a weight and score corresponding to different user responsibility categories corresponding to any traffic accident category.

[0091] Step S4033, the first score and the second score are added to obtain a total score corresponding to the target person.

[0092] The total score is obtained by the following formula in the embodiment of the application:

[0093]

[0094] Wherein, P represents a total score corresponding to the target person; represents a special traffic violation; represents a key traffic violation; represents a general traffic violation; represents a weight of each type of traffic violation and traffic accident, represents a weight of a special traffic violation, represents a weight of a key traffic violation, represents a weight of a general traffic violation, represents a weight matrix of a traffic accident and its responsibility; represents a number of each type of traffic violation and traffic accident, represents a number of a special traffic violation, represents a number of a key traffic violation, represents a number of a general traffic violation, represents a number of a traffic accident; represents a traffic accident type,

[0095] represents a fatal traffic accident, represents a general traffic accident (not involving death), represents a simple traffic accident; represents a traffic accident responsibility type,

[0096] ​​​​

[0097] indicates full responsibility, indicates primary responsibility, indicates equal responsibility, indicates secondary responsibility.

[0098] The embodiments of the present application do not limit the value of the weight, which can be determined according to human experience and actual conditions, and in the specific embodiments , , , , only as an example.

[0099] The present application calculates the total score corresponding to the target person based on the weight and score corresponding to the traffic violation behavior category, the weight and score corresponding to the different traffic accident categories, and the weight and score corresponding to the different user responsibility categories corresponding to any traffic accident category, thereby improving the accuracy of the risk assessment of the target person.

[0100] Step S404, based on the total score, determining the risk assessment result corresponding to the target person. For details, please refer to step S304 shown in Figure 3 , which will not be repeated here.

[0101] In the present embodiment, a risk assessment device is also provided, which is used to realize the above-mentioned embodiments and preferred embodiments, and has been described and will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware is also possible and is contemplated.

[0102] The present embodiment provides a risk assessment device, as shown in Figure 5 , the risk assessment device comprises:

[0103] The data acquisition module 501 is used to acquire the traffic violation behavior, traffic accident and corresponding user responsibility corresponding to the target person in the behavior table based on the target person identification in the user table, and the user table and the behavior table are associated through the person identification;

[0104] The data classification module 502 is used to classify all the traffic violation behaviors, traffic accidents and corresponding user responsibilities respectively to obtain a plurality of traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories;

[0105] The score calculation module 503 is used to calculate the total score corresponding to the target person based on the weight and score corresponding to the different traffic violation behavior categories, traffic accident categories and corresponding user responsibility categories respectively.

[0106] a risk assessment module 504 configured to determine a risk assessment result corresponding to the target person based on the total score.

[0107] In some optional embodiments, the risk assessment device further comprises a behavior data acquisition module configured to acquire all traffic violations corresponding to all persons belonging to a target group and accident occurrence frequency and casualty rate corresponding to each traffic violation;

[0108] a data clustering module configured to cluster process the accident occurrence frequency and casualty rate corresponding to all traffic violations to determine a risk assessment result corresponding to each traffic violation based on the target group;

[0109] In some optional embodiments, the risk assessment device further comprises a propaganda education module configured to determine a propaganda education method corresponding to the target person based on the risk assessment result corresponding to the target person and / or the risk assessment result corresponding to each traffic violation based on the target group to which the target person belongs.

[0110] In some optional embodiments, the risk assessment device further comprises a summary table generation module configured to generate a risk point summary table based on the risk assessment result corresponding to the target person and / or the risk assessment result corresponding to each traffic violation based on the target group to which the target person belongs, and associate the risk point summary table with a user table and a behavior table through a user identifier.

[0111] In some optional embodiments, the risk assessment device further comprises a propaganda education table generation module configured to generate a propaganda education table based on the propaganda education method corresponding to the target person, and associate the propaganda education table with the risk point summary table through a risk assessment result.

[0112] In some optional embodiments, the score calculation module comprises:

[0113] a first score calculation unit configured to acquire all traffic violations corresponding to the target person, and calculate a first score corresponding to all traffic violations based on a category corresponding to each traffic violation and a weight and a score corresponding to different traffic violation categories;

[0114] a second score calculation unit configured to acquire all traffic accidents in the traffic accident set and corresponding user responsibilities, and calculate a second score corresponding to all traffic accidents and corresponding user responsibilities based on a weight and a score corresponding to different traffic accident categories, and a weight and a score corresponding to different user responsibility categories corresponding to any traffic accident category;

[0115] The total score calculation unit is configured to add the first score and the second score to obtain a total score corresponding to the target person.

[0116] In some optional embodiments, the data clustering module comprises:

[0117] The cluster center setting unit is configured to set a preset number of risk categories as initial cluster center points.

[0118] The data classification unit is configured to take the accident occurrence frequency and the casualty rate corresponding to each traffic violation as a group of sample data, calculate the similarity distance between the current sample data and each initial cluster center point, and classify the traffic violation corresponding to the current sample data into the risk category with the shortest similarity distance.

[0119] The cluster center updating unit is configured to update the initial cluster center points until the new cluster center points after the update are the same as the initial cluster center points, and determine the risk category corresponding to each traffic violation.

[0120] The evaluation result determination module is configured to determine the risk evaluation result of each traffic violation based on the determined risk category corresponding to each traffic violation.

[0121] The further function description of each module and unit is the same as that of the above-mentioned corresponding embodiments, and will not be repeated here.

[0122] The risk evaluation device in the embodiment is presented in the form of a functional unit. The unit herein refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory executing one or more software or fixed programs, and / or other devices that can provide the above-mentioned functions.

[0123] The embodiment of the present application also provides a computer device with the above-mentioned Figure 5 risk evaluation device.

[0124] Please refer to Figure 6 , Figure 6 is a structural schematic diagram of a computer device provided by an optional embodiment of the present application, as shown in Figure 6As shown, the computer device includes one or more processors 10, memory 20, and interfaces 30 for the various components to communicate with one another. The various components communicate through the use of the various buses, and can be mounted on a common motherboard or in other manners as appropriate. The processor 10 can process instructions for execution within the computer device, including instructions stored in the memory 20 or elsewhere to implement routines for displaying graphical information, such as a GUI on an external input / output device, such as a display device coupled to the interface 30. In some embodiments, multiple processors and / or multiple buses can be employed as appropriate, as will be appreciated by those skilled in the art. Additionally, various components of the computer device can be used for other purposes, such as storage of data to implement routines, as will also be appreciated by those skilled in the art. Figure 6 The processor 10 is taken as an example in the embodiments.

[0125] The processor 10 can be a central processing unit, a network processor, or a combination thereof. The processor 10 can further include a hardware chip. The hardware chip can be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device can be a complex programmable logic device, a field programmable logic device, a general array logic, or any combination thereof.

[0126] The memory 20 stores instructions that are executable by the at least one processor 10, so as to enable the at least one processor 10 to perform the method shown in the above embodiments.

[0127] The memory 20 can include a program storage area and a data storage area. The program storage area can store an operating system, application programs required by at least one function, and the like. The data storage area can store data created according to the use of the computer device, and the like. In addition, the memory 20 can include a high-speed random access memory, and can further include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some alternative embodiments, the memory 20 can optionally include a memory that is remotely arranged with respect to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0128] The memory 20 can include a volatile memory, such as a random access memory, and can also include a non-volatile memory, such as a flash memory, a hard disk, or a solid state disk. The memory 20 can further include a combination of the above-mentioned kinds of memories.

[0129] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or communication networks.

[0130] The embodiments of the present application further provide a computer readable storage medium, and the method according to the embodiments of the present application can be implemented in hardware, firmware, or recorded in a storage medium, or be implemented as computer codes stored in a remote storage medium or a non-transitory machine readable storage medium and downloaded through a network and stored in a local storage medium, so that the method described herein can be processed by such software on a storage medium using a general purpose computer, a special purpose processor, or programmable or special hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid state disk, etc. Further, the storage medium can also include a combination of the above-mentioned types of memories. It can be understood that the computer, the processor, the microprocessor controller, or the programmable hardware includes a storage component that can store or receive software or computer codes, when the software or computer codes are accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0131] Although the embodiments of the present application are described in conjunction with the accompanying drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. A method for assessing road traffic safety risks for targeted public education, characterized in that, The method includes: Based on the target personnel identifier in the user table, the traffic violations, traffic accidents, and corresponding user responsibilities of the target personnel are obtained from the behavior table. The user table and the behavior table are associated through the personnel identifier. All traffic violations, traffic accidents, and corresponding user responsibilities obtained are classified and processed to obtain multiple categories of traffic violations, traffic accidents, and corresponding user responsibilities. Based on the pre-set weights and scores for different categories of traffic violations, traffic accidents, and corresponding user liability categories, the total score for the target person is calculated. Based on the total score, the risk assessment result corresponding to the target personnel is determined; The user table also includes the group type to which the person belongs, and the behavior table also includes the accident frequency and casualty rate corresponding to each traffic violation. The method further includes: Obtain all traffic violations committed by all individuals belonging to the target group, as well as the frequency of accidents and the casualty rate associated with each traffic violation; Clustering is performed on the accident frequency and casualty rate corresponding to all traffic violations to determine the target group based on the risk assessment results corresponding to each traffic violation.

2. The road traffic safety risk assessment method for precision-oriented public education as described in claim 1, characterized in that, The method further includes: Based on the risk assessment results corresponding to the target personnel, and / or based on the risk assessment results corresponding to each traffic violation of the target group to which the target personnel belong, the publicity and education methods corresponding to the target personnel are determined.

3. The road traffic safety risk assessment method for precision-oriented public education according to claim 1, characterized in that, The method further includes: Based on the risk assessment results corresponding to the target personnel, and / or the risk assessment results corresponding to each traffic violation of the target group to which the target personnel belong, a risk point summary table is generated, and the risk point summary table is associated with the user table and behavior table through user identifiers.

4. The road traffic safety risk assessment method for precision-oriented public education according to claim 2, characterized in that, The method further includes: Based on the publicity and education methods corresponding to the target personnel, a publicity and education form is generated, and the publicity and education form is linked to the risk point summary table through the risk assessment results.

5. The road traffic safety risk assessment method for precision-oriented public education according to any one of claims 1-4, characterized in that, The total score for the target individual is calculated based on the pre-set weights and scores for different categories of traffic violations, traffic accidents, and corresponding user liability categories, including: Obtain all traffic violations corresponding to the target person, and calculate the first score corresponding to all traffic violations based on the category of each traffic violation and the weight and score of different traffic violation categories; Obtain all traffic accidents and their corresponding user responsibilities from the traffic accident set. Based on the weights and scores corresponding to different traffic accident categories and the weights and scores corresponding to different user responsibility categories for any traffic accident category, calculate the second score for all traffic accidents and their corresponding user responsibilities. The first score and the second score are added together to obtain the total score for the target person.

6. The road traffic safety risk assessment method for precision-oriented public education according to any one of claims 1-4, characterized in that, The clustering of accident frequency and casualty rate corresponding to all traffic violations to determine the risk assessment results for the target group based on each traffic violation includes: Set a preset number of risk categories as initial cluster centers; The frequency of accidents and the casualty rate corresponding to each traffic violation are used as a set of sample data; the similarity distance between the current sample data and each initial cluster center is calculated, and the traffic violation corresponding to the current sample data is classified into the risk category with the shortest similarity distance; Update the initial cluster centers until the updated new cluster centers are in the same position as the initial cluster centers, and determine the risk category corresponding to each traffic violation. Based on the risk category corresponding to each traffic violation, the risk assessment results for the target group are determined based on each traffic violation.

7. A road traffic safety risk assessment device for targeted public education, characterized in that, The device includes: The data acquisition module is used to obtain the traffic violations, traffic accidents, and corresponding user responsibilities of the target personnel from the behavior table based on the target personnel identifier in the user table. The user table and the behavior table are associated through the personnel identifier. The data classification module is used to classify all traffic violations, traffic accidents and corresponding user responsibilities, resulting in multiple categories of traffic violations, traffic accidents and corresponding user responsibilities. The score calculation module is used to calculate the total score of the target person based on the weights and scores corresponding to different categories of traffic violations, traffic accidents and corresponding user responsibility categories, respectively. The risk assessment module is used to determine the risk assessment result corresponding to the target personnel based on the total score; The user table also includes the group type to which the person belongs, and the behavior table also includes the accident frequency and casualty rate corresponding to each traffic violation. The risk assessment device also includes: a behavior data acquisition module, used to acquire all traffic violations corresponding to all persons belonging to the target group, as well as the accident frequency and casualty rate corresponding to each traffic violation. The data clustering module is used to cluster the frequency of accidents and casualty rates corresponding to all traffic violations, and to determine the target group based on the risk assessment results corresponding to each traffic violation.

8. A computer device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the road traffic safety risk assessment method for precision education as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the road traffic safety risk assessment method for precision education as described in any one of claims 1 to 6.

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