Analysis of Vehicle-Pedestrian Accident Risk Based on Simulation Experiments

Vehicle-pedestrian accidents are one of the main types of road traffic accidents in China because of their mixed traffic features. By analyzing the characteristics of vehicle-pedestrian accidents, the head injury criterion (HIC) was selected as a quantitative index of pedestrian head injury risk, an...

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Bibliographic Details
Published in:Mathematical problems in engineering 2022-08, Vol.2022, p.1-14
Main Authors: Cheng, Rui, Pan, Ye, Xie, Lian
Format: Article
Language:English
Subjects:
Algorithms
Classification
Collisions
Engineering
Head injuries
Injury analysis
Injury prevention
Liability
Multivariate analysis
Pedestrian safety
Pedestrians
Risk assessment
Roads & highways
Safety management
Software
Traffic accidents
Traffic accidents & safety
Traffic speed
Vehicle safety
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Summary:Vehicle-pedestrian accidents are one of the main types of road traffic accidents in China because of their mixed traffic features. By analyzing the characteristics of vehicle-pedestrian accidents, the head injury criterion (HIC) was selected as a quantitative index of pedestrian head injury risk, and vehicle-pedestrian collision simulation tests were carried out using PC-Crash. From the collected test data, the multivariate relationship models between the HIC, vehicle speed, and collision angle were fitted for different vehicle types. A risk assessment method for vehicle-pedestrian accidents based on the HIC was proposed by the Fisher optimal segmentation algorithm. Finally, a new index for evaluating the accuracy of accident risk classification, the degree of error classification, was proposed to verify the validity of the accident risk assessment method. The results show that vehicle speed, collision angle, and vehicle type play a key role in pedestrian injury. Flat-headed vehicles are more likely to cause head injuries to pedestrians than high-headed and low-headed vehicles. Rear-end collisions cause more injuries to pedestrians than side collisions. The research results can provide guidance and a basis for accident liability determination, speed limit management, vehicle safety design, and human injury mechanism analysis.
ISSN:1024-123X
1563-5147
DOI:10.1155/2022/7891232