Analysis of Vehicle-Pedestrian Accident Risk Based on Simulation Experiments

Vehicle-pedestrian accidents are one of the main types road traffic in China because their mixed features. By analyzing characteristics vehicle-pedestrian accidents, head injury criterion (HIC) was selected as a quantitative index pedestrian risk, and collision simulation tests were carried out using PC-Crash. From collected test data, multivariate relationship models between HIC, vehicle speed, angle fitted for different types. A risk assessment method based on HIC proposed by Fisher optimal segmentation algorithm. Finally, new evaluating accuracy accident classification, degree error to verify validity method. The results show that angle, type play key role injury. Flat-headed vehicles more likely cause injuries pedestrians than high-headed low-headed vehicles. Rear-end collisions side collisions. research can provide guidance basis liability determination, speed limit management, safety design, human mechanism analysis.