More and more traffic participants are not aware of traffic misconduct, which leads to frequent traffic accidents, which in turn worsen the traffic environment and increase economic losses. Therefore, rectifying traffic behavior has become a contemporary development trend in the study of traffic safety. In order to solve this problem, this paper designs a questionnaire survey on the anomie behavior of three types of traffic participants, analyzes the influencing factors such as age and gender of the three types of traffic participants by using spss21.0 analysis software, and establishes a fault tree model to determine the key factors affecting the anomie behavior of traffic and analyze the degree to which the key factors produce anomie behavior. The software FreeFta is used to simply and conveniently analyze and calculate the minimum cut set and structural importance and the quantitative analysis and calculation of probability importance and critical importance. Finally, according to the analysis results, the key factors are summarized and targeted traffic anomie measures are given to the three types of traffic participants, which is of great significance to alleviate traffic accidents.

Traffic Anomie Behavior ; Traffic Safety