Analysis of factors influencing the severity of road traffic accidents

Abstract

The analysis of factors influencing the severity of road traffic accidents based on accident data is the basis for developing traffic safety countermeasures. To study the factors influencing the severity of motor vehicle road traffic accidents, 2,187 accident cases with different severity levels were analyzed and a binary logistics regression model was established. A total of 14 independent variables, including weather, time, road characteristics, temperature, humidity, air pressure, and wind speed, were selected as the dependent variables for the analysis, and the results showed that time, road characteristics, and temperature all had significant effects on the severity of the accident consequences, while humidity and the presence of stop signs near the accident site had no significant effects on the severity of the accident. Based on this, suggestions for measures to reduce the severity of road traffic accidents were made.