Analyzing Driving Risks of Roadway Traffic under Adverse Weather Conditions: In Case of Rain Day

Abstract

Among adverse weather conditions, rainy weather may be one of the conditions which cause significant negative impacts on traffic safety. This paper develops a quantitative model that is used to analyze driving risks under rainy weather conditions. The data is derived from an extensive questionnaire survey in shanghai. And the questionnaire includes those factors related to roadway, drivers, vehicles, and traffic that may have significant impacts on traffic safety under rainy weather conditions. The study makes correlation test on 286 samples selected randomly from the population and builds a multi-ordered discrete choice model (MDCM) to analyze those risk factors and their influence degree. And this kind of procedure and method is also useful and appropriate for other adverse weather conditions.