Title: Numerical reconstruction for a multi-car collision dynamics

Authors: Shen Ruihong; Lan Fengchong; Xiao Lingyun; Chen Jiqing

Addresses: Guangdong Provincial Key Laboratory of Automotive Engineering, South China University of Technology, Guangzhou 510641, Guangdong, China ' Guangdong Provincial Key Laboratory of Automotive Engineering, South China University of Technology, Guangzhou 510641, Guangdong, China ' State Administration for Market Regulation Defective Product Administrative Centre, Beijing 100101, China ' Guangdong Provincial Key Laboratory of Automotive Engineering, South China University of Technology, Guangzhou 510641, Guangdong, China

Abstract: In order to accurately determine the collision relationship of each vehicle in complex traffic accidents, combined with the scene trace and accident simulation, an accident reconstruction method is proposed. The method examines the accident scene and the accident vehicle which can forecast the accident process in advance and determines the approximate vehicle collision speed by the dynamics method. Then, based on the pre-determination, the PC-Crash software is used for accident reconstruction to more accurately determine the accident scenario and the vehicle collision parameter. This method was used in a four-car serial collision on a rainy highway. The collision information of the accident cars was read using Bosch's data reading tool Crash Data Retrieval (CDR). The results showed that the method can accurately reconstruct complex traffic accidents and provide an effective solution for determining the collision relationship of vehicles and the responsibility for traffic accidents.

Keywords: trace identification; complex traffic accident; accident reconstruction; PC-Crash; crash data retrieval.

DOI: 10.1504/IJVS.2020.111523

International Journal of Vehicle Safety, 2020 Vol.11 No.4, pp.315 - 329

Received: 31 May 2020
Accepted: 19 Jun 2020

Published online: 24 Nov 2020 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article