TOPSIS method-based highway traffic accident black spot road section identification method

Abstract

The invention discloses a TOPSIS method-based highway traffic accident black spot road section identification method. The method comprises the following steps: 1, a to-be-studied highway is equally divided to n section units according to the length; 2, highway traffic accident data for several years are collected, and data such as the total accidents in each section unit, the total accident casualties, the total serious accident injury persons, the total light accident injury persons and the total highway blocking time caused by traffic accidents and the like are counted; 3, the total trafficaccident equivalent casualties in each section unit are calculated; 4, indexes such as the total traffic accidents in each section unit, the total traffic accident equivalent casualties and the totalhighway blocking time caused by traffic accidents are used as a highway traffic safety evaluation index system, and the TOPSIS method is applied to calculate a traffic safety ranking index in each section; and 5, a section unit with the traffic safety ranking index smaller than a safety threshold is identified as an accident black spot section. The method comprehensively considers multiple trafficaccident indexes, the operation is simple, the transplantability is strong, and the promotion and the application are easy.

Description

technical field [0001] The invention belongs to the research field of road traffic safety management, and in particular relates to a road traffic accident black spot identification method based on the TOPSIS method. Background technique [0002] Due to the high speed of traffic flow on expressways, the severity of traffic accidents is often higher than that on urban roads. According to statistics in recent years in my country, although the expressway mileage only accounts for 3% of the total road mileage, but The death toll of traffic accidents on expressways accounts for 10% of the total number of fatalities in traffic accidents. Therefore, it is an important aspect of expressway traffic safety management to identify the black spot sections of expressway traffic accidents and take them as the key objects of prevention and control of traffic accidents. Work. [0003] At present, the research methods on the identification of traffic accident black spots at home and abroad are ...

AI Technical Summary

Problems solved by technology

[0004] The first type is based on historical traffic accident data, directly using the accident number method and accident rate method to identify accident black spots, or by constructing Poisson regression, negative binomial regression, and empirical Bayesian methods to regression analyze accident data. Judging accident black spots based on the prediction of accident development trend. The disadvantage of this type of method is that the indicators for identifying accident black spots are often relatively single, mainly using the number of accidents and the number of accident casualties as evaluation indicators, without considering road closures caused by traffic accidents. Indirect evaluation indicators such as time;

[0005] The second category is to use traffic conflict analysis technology (TCT) to judge possible traffic conflict points by predicting vehicle trajectories, and judge the location of more serious traffic conflicts as accident black spots. The traffic conflict analysis method relies on the historical data of traffic accidents. The degree is small, but it only considers the factors of traffic flow in traffic accidents, and cannot identify the black spots of accidents mainly caused by road conditions and environmental factors, and because the traffic conflict analysis method has a large workload, it is only applicable to small-scale cities Identification of Black Spots in Road Traffic Accidents

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