Abstract
Hazardous materials transport vehicle crashes on highways occur steadily with an average of 30 cases per year, and leakage of Hazardous materials due to traffic accident causes enormous socioeconomic losses. Studies related to truck safety have been conducted for a long time in Korea, but studies on traffic accidents and influencing factors of hazardous materials transport vehicles have not received attention from researchers. Therefore, this study aims to predict the cause of hazardous materials transport vehicle accidents on highways and the probability of accidents. For this purpose, the highway crash dataset from 2007 to 2020 provided to the Korea Expressway Corporation was collected, and we extracted hazardous materials transport vehicle accidents from the dataset. The logistic regression model was applied for predicting crash probability by selecting four types of crashes, such as fatal and injury, human factor, night-time, and ramp section. As a result of this study, fatal and injury crashes of hazardous materials transport vehicles were derived the most from driver
Published Version
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