Method for identifying traffic accident-prone section based on accident risk factor

A traffic accident and identification method technology, applied in the field of highway traffic safety management research, can solve the problems of affecting traffic accident-prone road sections, reducing the accuracy of identification results, and not considering time and weather conditions, etc., so as to reduce the incidence of traffic accidents and easily Understand and improve the effect of recognition accuracy

Active Publication Date: 2019-03-19
HEFEI UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of method needs to manually segment the road before recognition, and the result of the segmentation will directly affect the impact of traffic accident-prone road sections.
On the other hand, time and weather conditions have a s

Method used

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  • Method for identifying traffic accident-prone section based on accident risk factor
  • Method for identifying traffic accident-prone section based on accident risk factor
  • Method for identifying traffic accident-prone section based on accident risk factor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0048] Embodiment: Distinguishing accident-prone sections of a road section in a certain city

[0049] Set the starting time from January 1, 2014 to December 31, 2016. The total length of time that meets the conditions is: 365×3=1095 days. If the time is limited to weekends, the time length is: 1095×2 ÷7=312.86 days.

[0050] Calculate the accident risk degree of each point of the road section according to the traffic accident data and time length that meet the limited conditions, and draw the road accident risk degree curve as follows: image 3 As shown, if the accident risk safety threshold L is set to 0.2, then the road section corresponding to the point on the road risk curve whose value is greater than the threshold L is the traffic accident-prone road section, as shown in Figure 4 shown. Figure 4 The black lines in the middle are identified roads, which are identified for Xiuning Road, Hefei City, Anhui Province in the present embodiment, and the white line segments ...

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Abstract

The invention discloses a method for identifying a traffic accident-prone section based on an accident risk factor, the method comprises the following steps of: choosing all historical traffic accidents which accord with the set time and weather from accidents that already happen in an identified section to constitute a traffic accident data set. According to the set time and weather, determiningthe time length meeting the requirements; calculating an influence value of each historical traffic accident on the accident risk factor of the identified point in the identified section of the road,calculating the identified point accident risk factor according to the Gaussian distribution function, and then according to the set safety threshold of the accident risk factor, identifying the accident-prone section. The method can effectively identify accident-prone sections under different time and weather conditions, and provides a basis for the traffic police department to reasonably deploypolice force and rescue equipment according to time and weather factors, and is simple in operation, strong in portability and easy to be popularized.

Description

technical field [0001] The invention belongs to the research field of highway traffic safety management, and in particular relates to a method for identifying road sections with frequent traffic accidents based on the degree of accident risk. Background technique [0002] With the continuous increase of car ownership, the road traffic safety situation is particularly severe. Identifying highway traffic accident-prone road sections is of great significance for traffic police departments to rationally allocate police force and rescue equipment deployment according to different time and weather conditions, thereby improving traffic control capabilities. [0003] At present, the identification methods of traffic accident-prone road sections at home and abroad mainly include the following categories: [0004] The first type is to use the traffic conflict analysis technology (TCT) to judge the possible traffic conflict points by predicting the vehicle trajectory, and judge the loc...

Claims

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0129G08G1/0133
Inventor 张延孔谢文军刘璐刘新月罗月童梁樑
Owner HEFEI UNIV OF TECH
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