Investigating the Factors Influencing Driving Risk Using Driving Experimental Data

摘要

Many factors impact driving risk; managing these factors can improve traffic safety. This study investigates significant factors, including driving behavior, CIE factors, environment and time conditions, driver demographic information, and driver risk level. Thirty drivers participated in a field driving experiment for data collection. Each participant completed one 550 km driving test along the expressway from Wuhan to Xiangyang. During the naturalistic driving test, all abovementioned measurements were recorded to build the critical-incident events (CIEs) database. A K-means cluster analysis method was used to classify CIEs according to their risk. Besides, logistic models were developed to examine the contributing factors influencing driving risk of CIEs. Results indicated that six main factors were identified and considered as significant, including average deceleration, CIE type, CIE reason, weather, age, and driving experience. The findings of this study can help transportation planners and engineers understand factors influencing driving risk under the naturalistic driving.