A regional traffic safety operation evaluation method

By collecting and analyzing vehicle braking data, multi-dimensional evaluation indicators were constructed, which solved the shortcomings of existing traffic safety evaluation methods, realized a comprehensive, timely and dynamic evaluation of regional traffic safety conditions, and improved the safety and reliability of the traffic system.

CN119990905BActive Publication Date: 2025-10-24DALIAN UNIV OF TECH
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Patent Information

Application Number
CN202510140084.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-02-08
Publication Date
2025-10-24
Estimated Expiration
2045-02-08

AI Technical Summary

Technical Problem

Existing traffic safety evaluation methods rely on traffic accident statistics, which makes it difficult to comprehensively and timely reflect the regional traffic safety situation, and do not make full use of dynamic behavior information of vehicles during driving, such as braking data.

Method used

Braking data, including vehicle identification, braking time, braking position, braking speed, and braking distance, is collected using vehicle driving recorders and other data acquisition equipment. This data is used to construct multi-dimensional evaluation indicators such as the number of brakes in a region, braking frequency index, emergency braking ratio, braking distance index, and braking speed index. Data matching and sub-region division are performed using a geographic information system to conduct static and dynamic evaluations.

Benefits of technology

It enables accurate, timely, and dynamic evaluation of regional traffic safety conditions, provides richer and more detailed data support, and can promptly identify potential safety risks and take corresponding measures to improve the safety and reliability of the traffic system.

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Abstract

The application relates to the technical field of traffic safety evaluation, and discloses a regional traffic safety operation evaluation method, wherein the regional traffic safety operation evaluation method comprises the following steps: step one, data collection: collecting brake data of vehicles in a region through an automobile driving recorder and other automobile data acquisition equipment. The regional traffic safety operation evaluation method collects brake data of vehicles in a region through an automobile driving recorder and other automobile data acquisition equipment, including multi-dimensional information such as vehicle identification, brake time, brake position, brake speed, brake distance and brake type, and the collection and utilization of the data make the traffic safety evaluation no longer limited to traditional traffic accident statistical data, but can deeply mine dynamic behavior information of vehicles in the driving process, for example, through analysis of brake speed and brake distance, brake performance and safety risks of vehicles under different road conditions can be more accurately evaluated.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traffic safety evaluation, and particularly relates to a regional traffic safety operation evaluation method. BACKGROUND

[0002] With the rapid development of economy and the acceleration of urbanization, the number of cars is growing explosively, and the complexity and dynamics of the road traffic system are significantly improved, which not only leads to the increasingly serious traffic congestion problem, but also makes the traffic safety situation more severe. The traditional traffic safety evaluation method mainly relies on traffic accident statistics data. However, the occurrence of traffic accidents is occasional and lagging, and it is difficult to comprehensively and timely reflect the regional traffic safety operation condition according to the accident data. In addition, the traditional evaluation method often ignores the dynamic behavior information of the vehicle in the driving process, such as the braking behavior, and these dynamic behavior information actually contains rich traffic safety related data, which can provide more detailed and real-time basis for traffic safety evaluation.

[0003] In the modern traffic system, automobile driving recorders and other automobile data collection equipment have been widely used. These devices can record the driving state of the vehicle in real time, including brake time, brake position, brake speed, brake distance and other key information. However, at present, there is a lack of effective mining and utilization method for these massive brake data. Although some existing traffic safety evaluation methods attempt to introduce vehicle driving data, there are often problems such as insufficient data processing, single evaluation index and inability to adapt to complex traffic environment, which cannot meet the needs of modern traffic safety management for fine, dynamic and real-time evaluation. SUMMARY

[0004] In view of the above problems that some existing traffic safety evaluation methods attempt to introduce vehicle driving data, but often have problems such as insufficient data processing, single evaluation index and inability to adapt to complex traffic environment, the present application is proposed.

[0005] Therefore, the purpose of the present application is to provide a regional traffic safety operation evaluation method, which aims to make full use of the brake data collected by automobile driving recorders and other automobile data collection equipment, construct a set of scientific, reasonable and comprehensive regional traffic safety operation evaluation method, realize accurate, timely and dynamic evaluation of regional traffic safety condition, and provide a more effective and practical method for regional traffic safety evaluation.

[0006] To solve the above technical problems, the present application provides the following technical scheme: a regional traffic safety operation evaluation method, comprising the following steps: step one, data collection: collecting the brake data of the vehicle in the region through automobile driving recorders and other automobile data collection equipment, including vehicle identification, brake time, brake position, brake speed, brake distance and brake type;

[0007] Step two, data preprocessing: the collected brake data is cleaned, de-duplicated, completed, time-aligned and brake position adapted;

[0008] Step three, divide the evaluation area: according to the actual demand, the research area is divided into several sub-regions;

[0009] Step four, construct evaluation index: based on the brake data, the evaluation indexes such as the number of region brake, brake frequency index, emergency brake proportion, brake distance index and brake speed index are constructed;

[0010] Step five, calculate the evaluation index: according to the preprocessed brake data and the evaluation index formula, the evaluation index value of each sub-region is calculated;

[0011] Step six, safety evaluation: according to the evaluation index value, the static evaluation and dynamic evaluation of the regional traffic safety situation are carried out.

[0012] As a preferred scheme of the regional traffic safety operation evaluation method, wherein: the brake data in step one is transmitted to the data processing center for storage and analysis through wireless communication technology.

[0013] As a preferred scheme of the regional traffic safety operation evaluation method, wherein: in the brake position adaptation of the data preprocessing step in step two, the brake position data is combined with the geographic information system, and is accurately matched to the corresponding intersection, road and region.

[0014] As a preferred scheme of the regional traffic safety operation evaluation method, wherein: the division of the sub-region in step three includes road type, traffic flow and geographical position.

[0015] As a preferred scheme of the regional traffic safety operation evaluation method, wherein: the calculation formula of the number of region brake TBN in step four is:

[0016]

[0017] Wherein, N brakes Indicates the number of brakes occurring in the preset region range within the statistical time interval ΔT;

[0018] The calculation formula of the brake frequency index BFI is:

[0019]

[0020] Wherein, N brakes Indicates the number of brakes occurring in the preset region range within the statistical time interval ΔT, D traveledrepresents the cumulative mileage of all vehicles in the region within the same statistical time interval ΔT;

[0021] The formula for calculating the emergency braking ratio EBCR is:

[0022]

[0023] wherein N emergency brakes represents the number of emergency braking events within the statistical time interval ΔT in the preset region range.

[0024] As a preferred scheme of the region traffic safety operation evaluation method, the formula for calculating the braking distance index BDI in step four is:

[0025]

[0026] wherein, represents the average braking distance within the statistical time interval in the preset region range, L standard represents the standard braking distance;

[0027] The formula for calculating the average braking distance is:

[0028]

[0029] wherein L brakes,i represents the distance of the i-th braking, N brakes represents the number of braking events within the statistical time interval ΔT in the preset region range;

[0030] The formula for calculating the braking speed index BSI is:

[0031]

[0032] wherein, represents the average braking speed of vehicles within the statistical time interval ΔT in the preset region range, V standard represents the standard braking speed;

[0033] The formula for calculating the average braking speed is:

[0034]

[0035] wherein V brake,i represents the speed at the i-th braking, N brakes represents the number of braking events within the statistical time interval ΔT in the preset region range.

[0036] As a preferred scheme of the regional traffic safety operation evaluation method, the step six includes traffic diversion, road facility optimization and traffic law enforcement according to the evaluation results.

[0037] The present application has the following advantages:

[0038] 1、The present application collects brake data of vehicles in the region through automobile driving recorders and other vehicle data collection equipment, including vehicle identification, brake time, brake position, brake speed, brake distance and brake type, etc. The collection and utilization of these data make the traffic safety evaluation not limited to traditional traffic accident statistics, but can deeply explore the dynamic behavior information of vehicles during driving, for example, through analyzing brake speed and brake distance, the brake performance and safety risk of vehicles under different road conditions can be more accurately evaluated, thereby providing more abundant and detailed data support for traffic safety evaluation, improving the utilization efficiency and value of data.

[0039] 2、The present application constructs multiple evaluation indexes including regional brake number TBN, brake frequency index BFI, emergency brake proportion EBCR, brake distance index BDI and brake speed index BSI. These indexes reflect the regional traffic safety situation from different angles, such as TBN reflecting the frequency of brake events, BFI considering brake times and driving mileage, EBCR highlighting the proportion of emergency brake, BDI and BSI respectively evaluating brake performance and speed condition during braking. Through these multi-dimensional evaluation indexes, the regional traffic safety situation can be more comprehensively and accurately evaluated, avoiding one-sidedness of single index evaluation, and providing stronger support for traffic safety management and decision-making.

[0040] 3、The present application not only can perform static traffic safety evaluation, but also can perform dynamic evaluation. By statistically counting the number of regional brakes with 5-minute time interval, the change of traffic safety situation can be monitored in real time, for example, if the number of brakes significantly increases beyond the normal fluctuation range during traffic flow peak period or under adverse weather conditions, potential safety risks can be found in time, and corresponding traffic diversion and safety warning measures can be taken. This real-time and dynamic evaluation method is helpful to find and handle traffic safety problems in time, effectively reduces accident risks, and improves the safety and reliability of the traffic system.

[0041] 4、The application, the evaluation index is calculated and evaluated in a quantitative way, such as TBN, BFI, EBCR, BDI and BSI, and the like, has a clear calculation formula and threshold setting, the quantitative evaluation method can reduce the interference of human factors, improve the scientificity and reliability of the evaluation result, at the same time, through the analysis and statistics of a large amount of brake data, the real situation of the regional traffic safety situation can be more accurately reflected, a more scientific and reliable basis for traffic safety decision is provided, which is helpful for formulating more reasonable traffic safety management and intervention measures, and improving the overall safety level of the traffic system. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor. Among them:

[0043] Figure 1 The figure is a schematic diagram of the regional traffic safety operation evaluation method of the application.

[0044] Figure 2 The figure is an experimental data table of the regional traffic safety operation evaluation method of the application. DETAILED DESCRIPTION

[0045] In order to make the above-mentioned purposes, features and advantages of the application more obvious and easy to understand, the specific embodiments of the application will be described in detail below with reference to the drawings of the specification.

[0046] In the following description, many specific details are set forth in order to provide a thorough understanding of the application, but the application can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the connotation of the application, therefore the application is not limited by the specific embodiments disclosed below.

[0047] For the embodiments of the application, a regional traffic safety operation evaluation method is provided, which comprises the following steps: step one, data collection: collecting brake data of vehicles in the region through automobile driving recorders and other automobile data acquisition equipment, including vehicle identification, brake time, brake position, brake speed, brake distance and brake type;

[0048] Step two, data preprocessing: cleaning, deduplication, completion, time alignment and brake position adaptation are performed on the collected brake data;

[0049] Step three, dividing evaluation region: dividing the research region into several sub-regions according to actual needs;

[0050] Step four, building evaluation index: based on the brake data, build regional brake number, brake frequency index, emergency brake proportion, brake distance index and brake speed index evaluation index;

[0051] Step five, calculate evaluation index: according to the pretreated brake data and evaluation index formula, calculate the evaluation index value of each sub region;

[0052] Step six, safety evaluation: according to the evaluation index value, make static and dynamic evaluation on regional traffic safety situation.

[0053] The brake data in step one is transmitted to the data processing center for storage and analysis through wireless communication technology;

[0054] The driving recorder and other data collection equipment on the vehicle transmit the collected brake data to the server of the data processing center in real time through the wireless communication module. The wireless communication technology includes but is not limited to 4G, 5G, NB-IoT, etc. These technologies have the advantages of fast transmission speed, wide coverage, high reliability, etc., which can ensure the timely and accurate transmission of brake data. During data transmission, data encryption and verification technology is adopted to ensure the safety and integrity of data. After data transmission to the data processing center, it is stored in a high-performance database, which provides a reliable data basis for subsequent data preprocessing, evaluation index calculation and safety evaluation.

[0055] In step two, the brake position adaptation in data preprocessing step is to accurately match the brake position data to the corresponding intersection, road and region by combining with geographic information system;

[0056] By combining brake position data (latitude and longitude) with geographic information system (GIS), each brake event is accurately matched to the corresponding intersection, road (uplink and downlink) and region. Geographic information system provides rich geographic spatial data and powerful spatial analysis function, which can accurately match brake position data with actual road network and regional division. For example, for a brake event, GIS system can determine its occurrence at a specific intersection (such as crossroads, roundabout, etc.), uplink or downlink of a certain road, and the traffic cell or administrative division it belongs to. This accurate matching not only improves the accuracy and usability of data, but also provides more detailed and targeted spatial unit division for subsequent traffic safety evaluation, making the evaluation result more scientific and reliable.

[0057] The division of sub region in step three is based on road type, traffic flow and geographical location;

[0058] The division of sub-regions is based on factors including but not limited to road type, traffic flow, geographical location, etc. Road types include expressways, urban main roads, secondary roads, branch roads, intersections, etc. There are significant differences in traffic flow and traffic safety conditions on different types of roads, so they need to be evaluated separately. Traffic flow is one of the important factors for dividing sub-regions. The traffic safety risks of high-flow and low-flow areas are different, and different evaluation standards and management measures need to be taken. Geographical location is also an important factor for dividing sub-regions. For example, urban central areas, suburbs, industrial parks, etc. Due to their different functions and traffic characteristics, there are differences in traffic safety conditions. By considering these factors comprehensively, the study area is divided into several sub-regions with similar traffic characteristics, such as road segments, intersections, and traffic zones, making the traffic safety evaluation more refined and targeted, and better reflecting the traffic safety conditions of different areas, providing scientific decision-making basis for traffic management departments.

[0059] The calculation formula of the number of regional brakes TBN in step four is:

[0060]

[0061] wherein, N brakes represents the number of brakes occurring within the preset regional range in the statistical time interval ΔT;

[0062] The calculation formula of the brake frequency index BFI is:

[0063]

[0064] wherein, N brakes represents the number of brakes occurring within the preset regional range in the statistical time interval ΔT, D traveled represents the cumulative mileage of all vehicles in the region within the same statistical time interval ΔT;

[0065] The calculation formula of the emergency brake proportion EBCR is:

[0066]

[0067] wherein, N emergency brakes represents the number of emergency brakes occurring within the preset regional range in the statistical time interval ΔT.

[0068] The calculation formula of the brake distance index BDI in step four is:

[0069]

[0070] wherein, represents the average brake distance occurring within the preset regional range in the statistical time interval, L standardIndicates standard braking distance;

[0071] The average braking distance The calculation formula is:

[0072]

[0073] Among them, L brakes,i Indicates the braking distance for the i-th time, N brakes Indicates the number of brakes that occurred within the preset area within the statistical time interval ΔT;

[0074] The calculation formula of brake speed index BSI is:

[0075]

[0076] in, Indicates the average braking speed of vehicles within the preset area within the statistical time interval ΔT, V standard Indicates standard braking speed;

[0077] The average braking speed The calculation formula is:

[0078]

[0079] Among them, V brake,i Indicates the speed at the time of the i-th brake, N brakes Indicates the number of brakes that occurred within the preset area within the statistical time interval ΔT.

[0080] In step six, appropriate traffic safety measures are taken based on the evaluation results, including traffic diversion, road facility optimization, and traffic law enforcement;

[0081] Based on the traffic safety assessment results for each sub-region, appropriate traffic safety measures will be implemented to improve traffic safety. Specifically, these measures include, but are not limited to, traffic diversion, road facility optimization, and traffic law enforcement. Traffic diversion measures include adjusting signal timing, implementing traffic control, and distributing real-time traffic information, aiming to alleviate traffic congestion and reduce the occurrence of traffic accidents. Road facility optimization measures include adding traffic signs and markings, improving road lighting, and optimizing intersection design, aiming to improve road safety and traffic capacity. Traffic law enforcement measures include strengthening the investigation and punishment of traffic violations such as speeding, running red lights, and illegal lane changes, aiming to regulate traffic order and enhance safety awareness among traffic participants. These traffic safety measures, based on a detailed evaluation and analysis of the traffic safety situation in each sub-region, are highly targeted and effective, effectively reducing the risk of traffic accidents and improving regional traffic safety.

[0082] Implementation Process

[0083] 1) Data collection: In the specific study area of the city, brake data was collected for one month through the driving recorder installed on the vehicle, a total of 100,000 brake data, including vehicle identification, brake time, brake location, brake speed, brake distance and brake type information.

[0084] 2) Data preprocessing: The collected data was preprocessed, 5,000 outliers were removed, 2,000 missing values were completed, and after time alignment, 93,000 effective brake data were obtained, and the brake location data was combined with the geographic information system, and accurately matched to the corresponding intersection, road and area.

[0085] 3) Division of evaluation area: According to the research purpose and actual traffic condition, the area is divided into 10 sub-areas, including 5 road sections, 3 intersections and 2 traffic zones.

[0086] 4) Construction of evaluation index: According to the evaluation index system constructed by the present application, the index values of TBN, BFI, EBCR, BDI and BSI of each sub-area are calculated.

[0087] 5) Safety evaluation: According to the static evaluation and dynamic evaluation method, the traffic safety condition of each sub-area is comprehensively evaluated.

[0088] Experimental data can be referred to Figure 2 .

[0089] Results analysis and summary

[0090] Results analysis: From the above table, it can be seen that the TBN, BFI, EBCR, BDI and BSI of sub-area D are relatively high, indicating that the traffic safety condition of the area is poor, and there is a high safety risk. The indexes of sub-areas A and C are relatively low, and the traffic safety condition is good, and part of the indexes of sub-area B are relatively high, which needs attention.

[0091] Therefore, by using the evaluation index algorithm of the present application, the traffic safety condition of the urban area can be comprehensively and accurately evaluated, and a scientific decision basis is provided for the traffic management department. For the areas with poor traffic safety condition, corresponding traffic management measures can be taken, such as adding traffic signs, adjusting speed limit value, optimizing road marking, etc., to improve the traffic safety level.

[0092] It should be noted that the above examples are only used to illustrate the technical solutions of the present application and are not limited. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and they should be included in the scope of the claims of the present application.

Claims

1. A method for evaluating regional traffic safety operation, characterized in that, The method comprises the following steps: Step one, data collection: collecting brake data of vehicles in the region through automobile event data recorders and other vehicle data acquisition equipment, including vehicle identification, brake time, brake location, brake speed, brake distance and brake type; Step two, data preprocessing: cleaning, deduplication, completion, time alignment and brake location adaptation of the collected brake data; Step three, division of evaluation region: dividing the research region into several sub-regions according to actual needs; Step four, construction of evaluation index: constructing five evaluation indexes including regional brake number, brake frequency index, emergency brake proportion, brake distance index and brake speed index based on brake data; Step five, calculation of evaluation index: calculating the evaluation index values of each sub-region according to the preprocessed brake data and evaluation index formula; Step six, safety evaluation: static evaluation and dynamic evaluation of regional traffic safety condition according to the evaluation index values; The brake location adaptation in the data preprocessing step of step two is to accurately match the brake location data to the corresponding intersection, road and region in combination with geographic information system; The division of sub-regions in step three is based on road type, traffic flow and geographic location; The calculation formula of regional brake number TBN in step four is: wherein N brakes represents the number of braking events that occur within the predetermined area range within the statistical time interval ΔT; The calculation formula of brake frequency index BFI is: wherein N brakes represents the number of braking events in the predetermined area range within the statistical time interval ΔT, D traveled represents the cumulative mileage of all vehicles in the area within the same statistical time interval ΔT; The calculation formula of emergency brake proportion EBCR is: N emergency brakes represents the number of emergency braking events that occur within the predetermined area range within the statistical time interval ΔT; The calculation formula of brake distance index BDI in step four is: wherein, represents the average braking distance occurring within a predetermined area range within a statistical time interval, L standard represents a standard braking distance; The average braking distance The formula for calculating the average braking distance is: wherein L brakes,i represents the distance of the i-th braking, N brakes represents the number of braking times occurring within the preset area range within the statistical time interval ΔT; The calculation formula of brake speed index BSI is: wherein, represents the average braking speed of the vehicle in the predetermined area range within the statistical time interval ΔT, V standard represents the standard braking speed; The average brake speed The formula for calculating the average brake speed is: wherein V brake,i represents the speed at the i-th braking, N brakes represents the number of braking times that occur within a preset region range within a statistical time interval ΔT.

2. The regional traffic safety operation evaluation method of claim 1, wherein: The brake data in step one is transmitted to the data processing center for storage and analysis through wireless communication technology.

3. The regional traffic safety operation evaluation method of claim 2, wherein: According to the evaluation results, corresponding traffic safety measures are taken in step six, including traffic diversion, road facility optimization and traffic law enforcement.

Citation Information

Patent Citations

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