A Research on Accident Reconstruction of Bus–Two-Wheeled Vehicle Based on Vehicle Damage and Human Head Injury

Shang Gao, Mao Li, Qian Wang (), Xianlong Jin, Xinyi Hou, Chuang Qin and Shuangzhi Fu
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Shang Gao: School of Petroleum Engineering, China University of Petroleum, Qingdao 266427, China
Mao Li: School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Qian Wang: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Xianlong Jin: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Xinyi Hou: The Traffic Police Brigade of Shanghai, Municipal Public Security Bureau, Shanghai 200040, China
Chuang Qin: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Shuangzhi Fu: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

IJERPH, 2022, vol. 19, issue 22, 1-16

Abstract: The problem of large calculation models in bus–two-wheeled vehicle traffic accidents (TA) leads to the difficulty of balancing the calculation efficiency and accuracy, as well as difficulties in accident reconstruction. Herein, two typical accidents were reconstructed, based on the rigid–flexible coupled human model (HM) and the Facet vehicle model, and the vehicle damage conditions and the human head biomechanical injury were analyzed. The simulation results showed that the physical process of the human–vehicle collision was basically consistent with the accident video, the windshield fracture was consistent with the actual vehicle report, and the human biomechanical injury characteristics were also consistent with the autopsy report, which verified the feasibility of the simulation model, and provides a basis and reference for forensic identification and for traffic police to deal with accident disputes.

Keywords: bus–two-wheeled vehicle accident; reverse reconstruction; vehicle damage; head injury biomechanics; forensic identification (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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