PURPOSES : In this study, the factors influencing traffic accidents of commercial vehicles in the transportation industry were examined. The evidence observed in this study showed how it contributes to the establishment of safety management policies. METHODS : Safety management data obtained from the Korean Transportation Safety Authority were integrated. A multi-regression analysis was performed by comparing data for the past three years of traffic accident data. RESULTS : Through multi-regression analysis, items that significantly influenced the safety evaluation index (the number of traffic accidents per vehicle owned and the number of dangerous driving actions per 100 km per person) were analyzed. Items with similar patterns observed for various commercial vehicle industries were also analyzed. Monthly average drop off rate, number of law violations per driver, percentage of drivers above 65 years old, percentage of drivers that have completed the compulsory education, number of vehicles owned, and driving distance per vehicle are the variables that influenced the safety evaluation index. CONCLUSIONS : There is a growing need to establish safety management policies and management measures to enhance the voluntary safety management capabilities of the industry. Safety management should be conducted through the analysis of traffic accident impact factors for commercial vehicles.

PURPOSES: In this study, a method of maximizing visibility by effectively installing rear reflectors on freight cars was analyzed to reduce traffic accidents caused by poor visibility of trucks at night. METHODS: Comparisons were made when a (1) rear reflector, (2) rear reflector and line contour, and (3) rear reflector and full contour were installed in a truck using virtual driving simulation. The safety level of each installation method was quantitatively analyzed by selecting the cognitive distance, safe distance maintenance, and deceleration in the case of using stone embankment as an effective safety measure. RESULTS : When the rear reflector and full contour was installed, the cognitive range was the longest, and the safety distance could be maintained for a relatively long time. In addition, it was possible to stop or avoid a collision when a sudden event occurred. CONCLUSIONS: The severity of rear-end crash with freight cars is very high at night, mostly because drivers are unaware of the freight car ahead. Accidents can be prevented if drivers can recognize cargo trucks. Based on the results of this study, the installation of a truck's rear reflector and full contour system will enhance night visibility, and the number of traffic accidents will also decrease.