Illegal accident-based intervention effect analysis method, device and equipment

Abstract

The invention relates to an illegal accident-based intervention effect analysis method, device and equipment, and relates to the field of intelligent traffic. The illegal accident-based intervention effect analysis method provided by the invention not only pays attention to the change rate of illegal accident data, but also particularly emphasizes the effects of two key factors, namely intervention cost and intervention efficiency. Specifically, the method calculates the cost-benefit ratio of each intervention measure by dynamically monitoring illegal and accident data of a certain road section within a period of time and combining the condition change before and after the implementation of the specific intervention measures, thereby realizing more comprehensive and deeper effect evaluation of the intervention measures. Under the condition, which types of intervention measures are most likely to bring remarkable safety improvement can be revealed, meanwhile, strategies which possibly consume too many resources but are very effective can be recognized, and powerful data support is provided for policy formulators.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to an intervention effectiveness analysis method, device and equipment based on illegal accidents. Background Art

[0002] In traffic management, the frequent occurrence of accidents and violations has always been a problem that needs to be solved. In order to effectively curb this trend, relevant departments usually take a variety of traffic intervention measures to improve the public's safety awareness and legal awareness, reduce the number of violations, and thus reduce the incidence of traffic accidents. These measures include but are not limited to strengthening traffic safety education, increasing law enforcement efforts, improving road infrastructure, and promoting the use of advanced vehicle safety technologies.

[0003] However, traditional analysis methods often rely on simple data statistics and comparisons, such as changes in indicators such as the number of accidents, the number of injured people, or economic losses. Although this method can provide certain reference information, it lacks specific considerations of the cost-effectiveness of intervention measures. More importantly, traditional methods fail to deeply explore the mechanisms behind intervention measures and their long-term effects, making it difficult to accurately evaluate their actual effects.

[0004] In addition, due to differences in socioeconomic backgrounds in different regions and at different times, the actual effectiveness of the same intervention measures in different places will also be different. This means that even if a certain measure has achieved good results in a certain place in the past, it cannot be guaranteed to be equally effective in other environments in the future. Therefore, simply relying on historical data for a simple comparison is not enough to support decision makers in making scientific and reasonable judgments. In this case, a more systematic and sophisticated approach is urgently needed to evaluate the effectiveness of traffic intervention measures. Summary of the invention

[0005] The purpose of the present invention is to provide a method, device and equipment for analyzing the effectiveness of intervention based on illegal accidents to solve the problems existing in the above-mentioned prior art.

[0006] To achieve the above object, the technical solution adopted by the present invention is:

[0007] In a first aspect, the present invention provides an intervention effectiveness analysis method based on illegal accidents, the method comprising:

[0008] Acquiring historical traffic intervention measures implementation information, wherein the historical traffic intervention measures implementation information at least includes intervention time, intervention method, intervention road section, and intervention vehicle;

[0009] Acquire historical accident and violation data, wherein the historical accident and violation data at least includes road section vehicle driving trajectory, road section violation data, road section accident data, intervention vehicle driving trajectory, intervention vehicle violation data, and intervention vehicle accident data;

[0010] Determine the total personnel consumption and the total equipment consumption of the intervention method, and determine the intervention cost based on the total personnel consumption and the total equipment consumption of the intervention method;

[0011] Determining intervention efficiency according to the intervention road section, the intervention time, the intervention vehicle, the driving trajectory of the road section vehicle, and the driving trajectory of the intervention vehicle;

[0012] Using a time series analysis model to fit the time trends of the road section violation data and the road section accident data before the intervention, and determining a set of prediction results;

[0013] Calculate the deviation between the predicted result set and the actual result after intervention to determine the overall deviation value;

[0014] The regions or groups that have not received warning education are used as a control group, and the regions or groups that have received warning education are used as an experimental group. Combined with the driving trajectory of the road section vehicles, the violation data of the road section, the accident data of the road section, the driving trajectory of the intervention vehicles, the violation data of the intervention vehicles, and the accident data of the intervention vehicles, the comparison change rate of the violation and accident data of the control group and the experimental group before and after the warning education is determined;

[0015] The intervention effectiveness value is determined according to the intervention cost, the intervention efficiency, the overall deviation value, and the illegal accident comparison change rate.

[0016] In a possible implementation, determining the total personnel consumption of the intervention method includes:

[0017]

[0018] Among them, Z is the total personnel consumption, z is the consumption of a single person, s is the work efficiency of the person, x is the xth person, and n is the total number of people.

[0019] In a possible implementation, determining the total equipment consumption of the intervention method includes:

[0020]

[0021] Among them, V is the total equipment consumption, v is the consumption of a single device, s is the equipment working efficiency, x is the x-th device, and n is the total number of devices.

[0022] In a possible implementation, determining the intervention cost based on the total personnel consumption and the total equipment consumption of the intervention method includes:

[0023] C = (Z + V) D;

[0024] Among them, C is the intervention cost, Z is the total personnel consumption, V is the total equipment consumption, and D is the number of days.

[0025] In a possible implementation, determining the intervention efficiency according to the intervention road section, the intervention time, the intervention vehicle, the driving trajectory of the road section vehicle, and the driving trajectory of the intervention vehicle includes:

[0026]

[0027] Among them, E is the intervention efficiency, T is the intervention time, S 干预 To intervene in the vehicle trajectory, S 轨迹 is the vehicle driving trajectory on the road section.

[0028] In a possible implementation, calculating the deviation between the set of predicted results and the actual results after the intervention to determine the overall deviation value includes:

[0029]

[0030] Among them, Q is the overall deviation value, a is the actual result after intervention, l is the set of predicted results, n is the number of time dimension units, and x is the xth time unit.

[0031] In a possible implementation, determining the intervention effectiveness value according to the intervention cost, the intervention efficiency, the overall deviation value, and the comparison change rate includes:

[0032]

[0033] Among them, R is the intervention effectiveness value, P x is the comparison change rate of illegal accidents, Q is the overall deviation value, E is the intervention efficiency, and C is the intervention cost.

[0034] In a possible implementation, the illegal accident comparison change rate is the difference between the change rate of the experimental group and the change rate of the control group.

[0035] In a second aspect, the present invention provides an intervention effectiveness analysis device based on illegal accidents, the device is applied to the above-mentioned intervention effectiveness analysis method based on illegal accidents, and the device comprises:

[0036] An acquisition module, used to acquire historical traffic intervention measures implementation information, wherein the historical traffic intervention measures implementation information at least includes intervention time, intervention method, intervention road section, and intervention vehicle;

[0037] The acquisition module is further used to acquire historical accident and violation data, wherein the historical accident and violation data at least includes a road section vehicle driving trajectory, a road section violation data, a road section accident data, an intervention vehicle driving trajectory, an intervention vehicle violation data, and an intervention vehicle accident data;

[0038] A determination module, used to determine the total personnel consumption and the total equipment consumption of the intervention method, and determine the intervention cost based on the total personnel consumption and the total equipment consumption of the intervention method;

[0039] The determination module is further used to determine the intervention efficiency according to the intervention road section, the intervention time, the intervention vehicle, the driving trajectory of the vehicle on the road section, and the driving trajectory of the intervention vehicle;

[0040] The determination module is further used to use a time series analysis model to fit the time trends of the road section violation data and the road section accident data before the intervention to determine a set of prediction results;

[0041] The determination module is further used to calculate the deviation between the set of predicted results and the actual results after intervention to determine the overall deviation value;

[0042] The determination module is further used to use the regions or groups that have not received warning education as a control group, and the regions or groups that have received warning education as an experimental group, and to determine the comparison change rate of the illegal accidents of the control group and the experimental group before and after the warning education by combining the driving trajectory of the road section vehicles, the illegal data of the road section, the accident data of the road section, the driving trajectory of the intervention vehicle, the illegal data of the intervention vehicle, and the accident data of the intervention vehicle;

[0043] The determination module is further used to determine the intervention effectiveness value based on the intervention cost, the intervention efficiency, the overall deviation value, and the illegal accident comparison change rate.

[0044] In a third aspect, the present invention provides a computer device, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the processor can load and execute at least one instruction, at least one program, a code set or an instruction set to implement the intervention effectiveness analysis method based on illegal accidents provided above.

[0045] In a fourth aspect, the present invention provides a computer-readable storage medium, in which at least one instruction, at least one program, code set or instruction set is stored. A processor can load and execute at least one instruction, at least one program, code set or instruction set to implement the intervention effectiveness analysis method based on illegal accidents provided above.

[0046] In a fifth aspect, the present invention provides a computer program product or a computer program, the computer program product or the computer program comprising computer program instructions, the computer program instructions being stored in a computer-readable storage medium. The processor reads the computer instructions from the computer-readable storage medium and executes the computer instructions, so that the computer device executes the intervention effectiveness analysis method based on illegal accidents as provided above.

[0047] The beneficial effects brought about by the technical solution provided by the present invention include at least:

[0048] The intervention effectiveness analysis method based on illegal accidents provided by the present invention not only focuses on the rate of change of illegal accident data, but also particularly emphasizes the role of two key factors: intervention cost and intervention efficiency. Specifically, this method dynamically monitors the illegal and accident data of a certain section of road over a period of time, and combines the changes in the situation before and after the implementation of specific intervention measures to calculate the cost-effectiveness ratio of each intervention measure, thereby achieving a more comprehensive and in-depth evaluation of the effectiveness of the intervention measures. In this case, it can reveal which types of intervention measures are most likely to bring about significant safety improvements, and at the same time help identify those strategies that may consume too many resources but have little effect, providing strong data support for policy makers. By introducing scientific data analysis methods, the present invention aims to make up for the deficiencies in the existing evaluation system and provide new ideas and technical tools for traffic management departments to optimize resource allocation and improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0050] Figure 1 A flow chart of an intervention effectiveness analysis method based on illegal accidents provided by an exemplary embodiment of the present invention is shown.

[0051] Figure 2 A structural block diagram of an intervention effectiveness analysis device based on illegal accidents provided by an exemplary embodiment of the present invention is shown.

[0052] Figure 3 A schematic diagram of the structure of a computer device for executing an intervention effectiveness analysis method based on illegal accidents provided by an exemplary embodiment of the present invention is shown. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0055] Figure 1 A flowchart of an intervention effectiveness analysis method based on illegal accidents provided by an exemplary embodiment of the present invention is shown. The intervention effectiveness analysis method based on illegal accidents includes the following steps:

[0056] Step 101, obtaining historical traffic intervention measures implementation information, the historical traffic intervention measures implementation information at least includes intervention time, intervention method, intervention road section, and intervention vehicle.

[0057] In the embodiment of the present application, this step is to collect relevant data on past traffic intervention activities, which should at least include the specific time of the intervention, the method adopted, the affected road sections, and the types of vehicles involved. By collating this basic information, a solid foundation can be provided for subsequent analysis. For example, it is necessary to understand whether additional law enforcement actions have been carried out on a certain road section during a specific period of time, and which types of vehicles have been affected. This step is crucial to understanding the actual implementation of the intervention measures, and it helps to ensure the accuracy and reliability of subsequent evaluations.

[0058] In the embodiment of the present application, intervention time refers to: the start and end time of the intervention action; intervention method refers to: the specific method of the intervention action; intervention section refers to: the location section of the intervention action; intervention vehicle refers to: the passing vehicle affected by the intervention action.

[0059] In an embodiment of the present application, historical traffic intervention measures implementation information is obtained through a traffic management platform.

[0060] Step 102, obtaining historical accident and violation data, which at least includes road section vehicle driving trajectory, road section violation data, road section accident data, intervention vehicle driving trajectory, intervention vehicle violation data, and intervention vehicle accident data.

[0061] In the embodiments of the present application, it is necessary to collect detailed traffic accident and violation records from multiple angles, covering the vehicle driving trajectories on ordinary roads, specific violation details, and accident cases that have occurred. At the same time, attention should also be paid to the behavior patterns and related data of vehicles directly involved in the intervention process. This means that not only the situation on the road in general should be considered, but also special attention should be paid to the objects directly affected by the intervention measures. The data set obtained in this way will be richer and more comprehensive, and can better reflect the real changes before and after the intervention, laying a good foundation for the subsequent in-depth analysis.

[0062] In the embodiment of the present application, the driving trajectory of the vehicle on the road section refers to: the trajectory data of all vehicles in the intervention action section; the road section violation data refers to: the traffic violation data occurring in the road section where the intervention action is located; the road section accident data refers to: the traffic accident data occurring in the road section where the intervention action is located; the intervention vehicle driving trajectory refers to: the trajectory data of the vehicles affected by the intervention action; the intervention vehicle violation data refers to: the traffic violation data of the vehicles affected by the intervention action; the intervention vehicle accident data refers to: the traffic accident data of the vehicles affected by the intervention action.

[0063] In an embodiment of the present application, historical accident and violation data are obtained through a traffic management platform.

[0064] Step 103, determining the total personnel consumption and the total equipment consumption of the intervention method, and determining the intervention cost based on the total personnel consumption and the total equipment consumption of the intervention method.

[0065] In the embodiments of the present application, in order to quantify the cost of each intervention, it is necessary to first clarify the total amount of human resources consumed (such as the working hours of police or staff) and the total amount of material resources consumed (such as what equipment and technical support are used). Based on these two aspects of input, the total intervention cost can be calculated. This process not only involves directly visible cost factors, such as staff salaries, equipment procurement costs, etc., but may also include indirect costs, such as economic losses caused by reduced road traffic efficiency due to intervention. Accurately measuring these costs is an important prerequisite for evaluating the economic benefits of intervention measures.

[0066] Specifically, determine the total staff consumption of the intervention method, including:

[0067]

[0068] Among them, Z is the total personnel consumption, specifically refers to: the total number of personnel participating in the intervention action, the unit is (person); z is the single personnel consumption, specifically refers to: the number of single personnel participating in the intervention action, the unit is (person); s is the personnel work efficiency, specifically refers to: the participation rate of single personnel participating in the intervention action; x is the x-th person; n is the total number of personnel, specifically refers to: the total number of personnel participating in the intervention action.

[0069] In one example, the total personnel consumption Z is shown in Table 1 below:

[0070] personnel Consumption Key Personnel 1 Secondary Personnel 0.5-1 Support staff 0.1-0.5

[0071] In an example, the staff work efficiency s is shown in Table 2 below:

[0072] illustrate Work rate Full participation 1 Partial participation 0.1-0.9 Maintenance guarantee 0.1-0.5 Subsequent processing 0.1-0.2

[0073] Determine the total equipment cost of the intervention, including:

[0074]

[0075] Among them, V is the total equipment consumption, specifically refers to: the total number of equipment participating in the intervention action, in units of (pieces); v is the consumption of a single device, specifically refers to: the number of single equipment participating in the intervention action, in units of (pieces); s is the equipment work efficiency, specifically refers to: the participation rate of a single device participating in the intervention action; x is the x-th device; n is the total number of devices.

[0076] In one example, the equipment working efficiency s is shown in Table 3 below:

[0077] illustrate Work rate Exclusive for the entire mission 1 Thread processing 0.1-0.9

[0078] Based on the total personnel and equipment consumption of the intervention method, determine the intervention cost, including:

[0079] C = (Z + V) D;

[0080] Among them, C is the intervention cost, specifically refers to: the total number of personnel and equipment for the intervention action, unit is (days); Z is the total personnel consumption; V is the total equipment consumption; D is the number of days, specifically refers to: the number of days the intervention action lasts, unit is (days).

[0081] Step 104 , determining the intervention efficiency according to the intervention road section, intervention time, intervention vehicle, road section vehicle driving trajectory, and intervention vehicle driving trajectory.

[0082] In the embodiment of the present application, this step requires evaluating the effect of the intervention based on the time, location, vehicles involved, and corresponding driving paths of the intervention. Specifically, it is to analyze the flow of vehicles on the designated road section before and after the intervention, including changes in average speed, flow density, etc., to determine whether the intervention has achieved the intended purpose - that is, improving the level of traffic safety or reducing the incidence of violations. In addition, the differences in the impact of different types of intervention methods on the same area can be further explored to draw more detailed conclusions.

[0083] In detail, the intervention effectiveness analysis method based on illegal accidents is characterized in that the intervention efficiency is determined according to the intervention road section, intervention time, intervention vehicle, road section vehicle driving trajectory, and intervention vehicle driving trajectory, including:

[0084]

[0085] Where E is the intervention efficiency, which specifically refers to the proportion of vehicle trajectories affected by the intervention action to the total trajectories of the road section; T is the intervention time, in hours; S 干预 To intervene in the vehicle trajectory; S 轨迹 is the vehicle driving trajectory on the road section.

[0086] Step 105, using the time series analysis model to fit the time trend of the road section violation data and the road section accident data before the intervention, to determine a set of prediction results.

[0087] In the embodiment of the present application, a time series analysis method is used to predict the possible development trend of the number of illegal incidents and traffic accidents in the road section in the future if no intervention is carried out. This method can help us establish a "hypothetical" baseline to compare the actual situation. By fitting past data points and predicting future trends, we can obtain a set of prediction results, which will become one of the key references for measuring the effectiveness of intervention.

[0088] In one example, the time series analysis model is an ARIMA model. The ARIMA model, which stands for Autoregressive Integrated Moving Average Model, is an important tool in time series analysis and is widely used in forecasting and modeling. It combines three core components: autoregression (AR), differencing (I), and moving average (MA). The basic idea of ​​the ARIMA model is that the value at a point in time is affected by both the value in the past period of time and the random events or error terms in the past period of time.

[0089] Step 106, calculate the deviation between the predicted result set and the actual result after the intervention to determine the overall deviation value.

[0090] In the embodiments of the present application, once there is a set of predicted results, it can be compared with the actual situation after the intervention, and the difference between the two can be calculated, which is the so-called "overall deviation value". This value reflects the degree of influence of the intervention on the original trend - if the deviation is large, it means that the intervention has played a significant role; otherwise, it means that the effect of the intervention is not obvious or has almost no effect. Such a comparison can intuitively show the changes brought about by the intervention and provide a basis for further optimizing the strategy.

[0091] Furthermore, the deviation between the predicted result set and the actual result after intervention is calculated to determine the overall deviation value, including:

[0092]

[0093] Among them, Q is the overall deviation value, specifically refers to: the change ratio of the actual number of illegal accidents to the predicted value; a is the actual result after intervention, specifically refers to: the actual number of illegal accidents, unit is (pieces); l is the value of the collection of prediction results after time alignment, specifically refers to: the predicted number of illegal accidents, unit is (pieces); n is the number of time dimension units; x is the xth time unit.

[0094] Step 107, taking the areas or groups that have not received warning education as the control group, and taking the areas or groups that have received warning education as the experimental group, combining the road section vehicle driving trajectory, road section violation data, road section accident data, intervention vehicle driving trajectory, intervention vehicle violation data, and intervention vehicle accident data, to determine the change rate of illegal accidents in the control group and the experimental group before and after the warning education.

[0095] In the embodiments of the present application, in order to more accurately evaluate the effectiveness of warning education intervention measures, it is recommended to set up two different groups as research subjects: one is a control group that has not received such education, and the other is an experimental group that has received warning education. Then, by comparing the changes in the frequency of violations and accidents between the two groups under the same conditions (i.e., the same road section, similar time period, etc.), it can be more clearly seen whether the educational activities really play a preventive role. This design is similar to a randomized controlled trial (RCT) in medical trials, which can effectively eliminate interference from other variables and improve the credibility of the conclusions.

[0096] To elaborate, this step takes the regions or groups that did not receive warning education as the control group, and the regions or groups that received warning education as the experimental group. The accident and violation probability P is calculated according to the group, before and after intervention, whether there is an accident, and whether there is a violation. The probability conditions are shown in Table 4 below:

[0097] value X Y Z W 1 Experimental Group Before intervention ACCIDENT Illegal 0 Control group After intervention No accidents No violation of law

[0098] (1) Calculate the illegal accident rates of the experimental group and the control group, as shown in Table 5 below:

[0099] Probability Experimental Group Control group Pre-intervention offense rate P(W=1|Y=1,X=1) P(W=1|Y=1,X=0) Post-intervention offense rate P(W=1|Y=0,X=1) P(W=1|Y=0,X=0) Accident rate before intervention P(Z=1|Y=1,X=1) P(Z=1|Y=1,X=0) Accident rate after intervention P(Z=1|Y=0,X=1) P(Z=1|Y=0,X=0)

[0100] (2) Calculate the overall change rate of the experimental group and the control group:

[0101] The impact levels of violations and accidents are set to m and n respectively. m and n are used to predict and estimate the current impact level based on the traffic violation and accident data of the previous year.

[0102] Experimental group change rate:

[0103]

[0104] Where X1 is the change rate of the experimental group, specifically refers to the change ratio of accident violations in the experimental group before and after the intervention; P is the conditional probability, specifically refers to the accident rate or violation rate that meets specific conditions; m is the violation impact rate, specifically refers to the traffic violation impact factor; n is the accident impact rate, specifically refers to the traffic accident impact factor.

[0105] Change rate of control group:

[0106]

[0107] Where X2 is the change rate of the control group, specifically refers to the change ratio of accident violations in the control group before and after the intervention; P is the conditional probability, specifically refers to the accident rate or violation rate that meets specific conditions; m is the violation impact rate, specifically refers to the traffic violation impact factor; n is the accident impact rate, specifically refers to the traffic accident impact factor.

[0108] (3) Calculate the final illegal accident comparison change rate:

[0109] P x =X1-X2;

[0110] Step 108, determining the intervention effectiveness value according to the intervention cost, intervention efficiency, overall deviation value, and illegal accident comparison change rate.

[0111] In the embodiment of the present application, a comprehensive intervention effectiveness value is calculated by comprehensively considering factors such as intervention cost, intervention efficiency, overall deviation value, and illegal accident comparison change rate. This value is not only a summary evaluation of the success or failure of a single intervention measure, but also provides valuable lessons for the planning of similar projects in the future. In this way, it can not only help decision makers make more informed choices, but also promote the development of scientific management methods in the field of traffic safety.

[0112] Specifically, the intervention effectiveness value is determined based on the intervention cost, intervention efficiency, overall deviation value, and comparison change rate, including:

[0113]

[0114] Among them, R is the intervention effectiveness value, P x is the comparison change rate of illegal accidents, Q is the overall deviation value, E is the intervention efficiency, and C is the intervention cost.

[0115] Figure 2 The structure block diagram of an intervention effectiveness analysis device based on illegal accidents provided by an exemplary embodiment of the present invention is shown. The intervention effectiveness analysis device based on illegal accidents is applied to the above-mentioned intervention effectiveness analysis method based on illegal accidents. The device includes:

[0116] An acquisition module 201 is used to acquire historical traffic intervention measures implementation information, where the historical traffic intervention measures implementation information at least includes intervention time, intervention method, intervention road section, and intervention vehicle;

[0117] The acquisition module 201 is also used to acquire historical accident and violation data, which at least includes road section vehicle driving trajectory, road section violation data, road section accident data, intervention vehicle driving trajectory, intervention vehicle violation data, and intervention vehicle accident data;

[0118] A determination module 202 is used to determine the total personnel consumption and the total equipment consumption of the intervention method, and determine the intervention cost based on the total personnel consumption and the total equipment consumption of the intervention method;

[0119] The determination module 202 is further used to determine the intervention efficiency according to the intervention road section, the intervention time, the intervention vehicle, the driving trajectory of the road section vehicle, and the driving trajectory of the intervention vehicle;

[0120] The determination module 202 is further used to use the time series analysis model to fit the time trend of the road section violation data and the road section accident data before the intervention to determine the prediction result set;

[0121] The determination module 202 is also used to calculate the deviation between the predicted result set and the actual result after the intervention to determine the overall deviation value;

[0122] The determination module 202 is further used to determine the comparison change rate of illegal accidents between the control group and the experimental group before and after the warning education by taking the regions or groups that have not received the warning education as the control group and the regions or groups that have received the warning education as the experimental group, combining the driving trajectories of the road section vehicles, the illegal data of the road section, the accident data of the road section, the driving trajectories of the intervention vehicles, the illegal data of the intervention vehicles, and the accident data of the intervention vehicles;

[0123] The determination module 202 is further used to determine the intervention effectiveness value according to the intervention cost, intervention efficiency, overall deviation value, and illegal accident comparison change rate.

[0124] In some embodiments, determining the total personnel consumption of the intervention method includes:

[0125]

[0126] Among them, Z is the total personnel consumption, z is the consumption of a single person, s is the work efficiency of the person, x is the xth person, and n is the total number of people.

[0127] In some embodiments, determining the total equipment consumption of the intervention method includes:

[0128]

[0129] Among them, V is the total equipment consumption, v is the consumption of a single device, s is the equipment working efficiency, x is the x-th device, and n is the total number of devices.

[0130] In some embodiments, determining the intervention cost based on the total personnel consumption and the total equipment consumption of the intervention method includes:

[0131] C = (Z + V) D;

[0132] Among them, C is the intervention cost, Z is the total personnel consumption, V is the total equipment consumption, and D is the number of days.

[0133] In some embodiments, determining the intervention efficiency according to the intervention road section, the intervention time, the intervention vehicle, the driving trajectory of the road section vehicle, and the driving trajectory of the intervention vehicle includes:

[0134]

[0135] Among them, E is the intervention efficiency, T is the intervention time, S 干预 To intervene in the vehicle trajectory, S 轨迹 is the vehicle driving trajectory on the road section.

[0136] In some embodiments, calculating the deviation between the set of predicted results and the actual results after the intervention to determine the overall deviation value includes:

[0137]

[0138] Among them, Q is the overall deviation value, a is the actual result after intervention, l is the set of predicted results, n is the number of time dimension units, and x is the xth time unit.

[0139] In some embodiments, determining the intervention effectiveness value according to the intervention cost, the intervention efficiency, the overall deviation value, and the comparison change rate includes:

[0140]

[0141] Among them, R is the intervention effectiveness value, P x is the comparison change rate of illegal accidents, Q is the overall deviation value, E is the intervention efficiency, and C is the intervention cost.

[0142] In some embodiments, the illegal accident comparison change rate is the difference between the change rate of the experimental group and the change rate of the control group.

[0143] It should be noted that the intervention effectiveness analysis device based on illegal accidents provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0144] Figure 3 A schematic diagram of the structure of a computer device for executing an intervention effectiveness analysis method based on illegal accidents provided by an exemplary embodiment of the present invention is shown, and the computer device includes:

[0145] The processor 301 includes one or more processing cores. The processor 301 executes various functional applications and data processing by running software programs and modules.

[0146] The receiver 302 and the transmitter 303 can be implemented as a communication component, and the communication component can be a communication chip. Optionally, the communication component can be implemented to include a signal transmission function. That is, the transmitter 303 can be used to transmit a control signal to the image acquisition device and the scanning device, and the receiver 302 can be used to receive the corresponding feedback instruction.

[0147] The memory 304 is connected to the processor 301 via a bus 305 .

[0148] The memory 304 may be used to store at least one instruction, and the processor 301 may be used to execute the at least one instruction to implement each step in the above method embodiment.

[0149] An embodiment of the present invention also provides a computer-readable storage medium, which stores at least one instruction, at least one program, code set or instruction set, which is loaded and executed by a processor to implement the above-mentioned intervention effectiveness analysis method based on illegal accidents.

[0150] The present invention also provides a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. A processor of a computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the intervention effectiveness analysis method based on illegal accidents described in any of the above embodiments.

[0151] Optionally, the computer readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a solid state drive (SSD), or an optical disk. Among them, the random access memory may include a resistance random access memory (ReRAM) and a dynamic random access memory (DRAM). The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0152] It should be understood that the specific examples herein are only intended to help those skilled in the art to better understand the present disclosure, rather than to limit the scope of the present invention.

[0153] It is understood that in the various implementations of this specification, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the present disclosure.

[0154] It can be understood that the various implementation modes described in this specification can be implemented individually or in combination, and the present disclosure is not limited to this.

[0155] Unless otherwise stated, all technical and scientific terms used in this disclosure have the same meaning as those generally understood by those skilled in the art of the technical field of this specification. The terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit the scope of this specification. The term "and / or" used in this specification includes any and all combinations of one or more related listed items. The singular forms of "a", "above", and "the" used in this disclosure and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0156] It can be understood that the processor of the present disclosure can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method implementation method can be completed by the hardware integrated logic circuit or software instructions in the processor. The above processor can be a general processor, a digital signal processor (DigitalSignalProcessor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the present disclosure can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the present disclosure can be directly embodied as a hardware decoding processor to perform, or the hardware and software modules in the decoding processor can be combined to perform. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0157] It is understood that the memory in the present disclosure may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (programmable ROM, PROM), an erasable programmable read-only memory (erasable PROM, EPROM), an electrically erasable programmable read-only memory (EEPROM) or a flash memory. The volatile memory may be a random access memory (RAM). It should be noted that the memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0158] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this specification.

[0159] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method implementation methods and will not be repeated here.

[0160] In the several embodiments provided in this specification, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device implementation described above is only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0161] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0162] In addition, each functional unit in each embodiment of the present specification may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0163] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this specification, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of this specification. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0164] The above is only a specific implementation of this specification, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in this specification, which should be included in the protection scope of this specification. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for analyzing the effectiveness of intervention based on illegal accidents, characterized in that: The method comprises: Acquiring historical traffic intervention measures implementation information, wherein the historical traffic intervention measures implementation information at least includes intervention time, intervention method, intervention road section, and intervention vehicle; Acquire historical accident and violation data, wherein the historical accident and violation data at least includes road section vehicle driving trajectory, road section violation data, road section accident data, intervention vehicle driving trajectory, intervention vehicle violation data, and intervention vehicle accident data; Determine the total personnel consumption and the total equipment consumption of the intervention method, and determine the intervention cost based on the total personnel consumption and the total equipment consumption of the intervention method; Determining intervention efficiency according to the intervention road section, the intervention time, the intervention vehicle, the driving trajectory of the road section vehicle, and the driving trajectory of the intervention vehicle; Using a time series analysis model to fit the time trends of the road section violation data and the road section accident data before the intervention, and determining a set of prediction results; Calculate the deviation between the predicted result set and the actual result after intervention to determine the overall deviation value; The regions or groups that have not received warning education are used as a control group, and the regions or groups that have received warning education are used as an experimental group. Combined with the driving trajectory of the road section vehicles, the violation data of the road section, the accident data of the road section, the driving trajectory of the intervention vehicles, the violation data of the intervention vehicles, and the accident data of the intervention vehicles, the comparison change rate of the violation and accident data of the control group and the experimental group before and after the warning education is determined; The intervention effectiveness value is determined according to the intervention cost, the intervention efficiency, the overall deviation value, and the illegal accident comparison change rate.

2. The intervention effectiveness analysis method based on illegal accidents according to claim 1 is characterized in that: The total personnel consumption for determining the intervention method includes: Among them, Z is the total personnel consumption, z is the consumption of a single person, s is the work efficiency of the person, x is the xth person, and n is the total number of people.

3. The method for analyzing the effectiveness of intervention based on illegal accidents according to claim 1, characterized in that: The total equipment consumption of determining the intervention method includes: Among them, V is the total equipment consumption, v is the consumption of a single device, s is the equipment working efficiency, x is the x-th device, and n is the total number of devices.

4. The method for analyzing the effectiveness of intervention based on illegal accidents according to claim 1, characterized in that: The total personnel consumption and equipment consumption based on the intervention method determine the intervention cost, including: C = (Z + V) D; Among them, C is the intervention cost, Z is the total personnel consumption, V is the total equipment consumption, and D is the number of days.

5. The method for analyzing the effectiveness of intervention based on illegal accidents according to claim 1, characterized in that: The determining of the intervention efficiency according to the intervention road section, the intervention time, the intervention vehicle, the driving trajectory of the road section vehicle, and the driving trajectory of the intervention vehicle includes: Among them, E is the intervention efficiency, T is the intervention time, S 干预 To intervene in the vehicle trajectory, S 轨迹 is the vehicle driving trajectory on the road section.

6. The method for analyzing the effectiveness of intervention based on illegal accidents according to claim 1, characterized in that: The step of calculating the deviation between the set of predicted results and the actual results after the intervention to determine the overall deviation value includes: Among them, Q is the overall deviation value, a is the actual result after intervention, l is the set of predicted results, n is the number of time dimension units, and x is the xth time unit.

7. The method for analyzing the effectiveness of intervention based on illegal accidents according to claim 1, characterized in that: Determining the intervention effectiveness value according to the intervention cost, the intervention efficiency, the overall deviation value, and the comparison change rate includes: Among them, R is the intervention effectiveness value, P x is the comparison change rate of illegal accidents, Q is the overall deviation value, E is the intervention efficiency, and C is the intervention cost.

8. The method for analyzing the effectiveness of intervention based on illegal accidents according to claim 6, characterized in that: The comparative change rate of illegal accidents is the difference between the change rate of the experimental group and the change rate of the control group.

9. An intervention effectiveness analysis device based on illegal accidents, characterized in that: The device is applied to the intervention effectiveness analysis method based on illegal accidents according to any one of claims 1 to 8, and the device comprises: An acquisition module, used to acquire historical traffic intervention measures implementation information, wherein the historical traffic intervention measures implementation information at least includes intervention time, intervention method, intervention road section, and intervention vehicle; The acquisition module is further used to acquire historical accident and violation data, wherein the historical accident and violation data at least includes a road section vehicle driving trajectory, a road section violation data, a road section accident data, an intervention vehicle driving trajectory, an intervention vehicle violation data, and an intervention vehicle accident data; A determination module, used to determine the total personnel consumption and the total equipment consumption of the intervention method, and determine the intervention cost based on the total personnel consumption and the total equipment consumption of the intervention method; The determination module is further used to determine the intervention efficiency according to the intervention road section, the intervention time, the intervention vehicle, the driving trajectory of the vehicle on the road section, and the driving trajectory of the intervention vehicle; The determination module is further used to use a time series analysis model to fit the time trends of the road section violation data and the road section accident data before the intervention to determine a set of prediction results; The determination module is further used to calculate the deviation between the set of predicted results and the actual results after intervention to determine the overall deviation value; The determination module is further used to use the regions or groups that have not received warning education as a control group, and the regions or groups that have received warning education as an experimental group, and to determine the comparison change rate of the illegal accidents of the control group and the experimental group before and after the warning education by combining the driving trajectory of the road section vehicles, the illegal data of the road section, the accident data of the road section, the driving trajectory of the intervention vehicle, the illegal data of the intervention vehicle, and the accident data of the intervention vehicle; The determination module is further used to determine the intervention effectiveness value based on the intervention cost, the intervention efficiency, the overall deviation value, and the illegal accident comparison change rate.

10. A computer device, characterized in that: The computer device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the intervention effectiveness analysis method based on illegal accidents as described in any one of claims 1 to 8.

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