Investigation on the injuries of drivers and copilots in rear-end crashes between trucks based on real world accident data in China

Abstract

This study aimed to investigate the distributing factors affecting the injury severity of drivers and copilots in rear-end crashes between trucks on expressways, based on real world accident data in China. For this purpose, a total of 92 crashes on expressways in Changsha and Zhuzhou areas from 2010 to 2016 were selected. The data was analyzed statistically regarding the corresponding driver, vehicle, roadway and environment characteristics. Firstly, descriptive statistics were conducted to understand the rear-end crash characteristics. Then, ordered logistic regression models were utilized to identify the contributing factors affecting the injury severity of drivers and copilots in rear trucks. Finally, the fatality risk models with respect to relative speed were developed through single logistic regression analyses. The results showed that the probability of driver being fatal decreased if only right fronts of rear trucks were involved in crashes. The probability of copilot being fatal increased if the drivers turned left before crash occurrences or a light truck rear-ended a heavy truck. The relative speed had the highest statistical significance for the truck impact severity. And the copilots were more vulnerable in truck rear-end crashes compared with drivers, with the relative speeds corresponding to 50% probability of being fatal were 32.49 and 35.18 km/h, respectively. The findings from this study provided the theory and data bases for the development of active and passive protection systems.