Correlation Analysis of Traffic Accident Severity of the Heavy Trucks Based on Logistic Model

Abstract

AbstractWith the increase of truck ownership year by year, traffic accidents involving heavy trucks occur frequently and the consequence is more serious. The accident is the result of the maladjustment of various factors in the “man-vehicle-environment” system. In this context, using the data of 305 traffic accidents of heavy truck in a province of China in 2020, 11 influencing factors are selected from the three aspects of people, vehicle, and environment. The scientific analysis of the factors affecting the severity of heavy truck accidents is carried out by the Logistic regression model. Mining the influence of “man-machine-environment” system disharmony on the severity of the accident. The result shows that the main factors affecting the severity of heavy truck accidents are driving on the wrong side of the road, failing to yield as required, involving pedestrians, vehicle fault and without traffic control. Based on the above five factors, countermeasures to prevent heavy truck traffic accidents are put forward in order to reduce casualties and property damage caused by accidents. It is of great theoretical significance and practical application value to improve the level of road traffic safety in China.KeywordsMan-machine-environmentHeavy goods vehicleAccident severityLogistic regression models