TY  - JOUR
PY  - 2022//
TI  - Reverse reconstruction of two-wheeled vehicle accident based on Facet vehicle model and hybrid human model
JO  - International journal of crashworthiness
A1  - Wang, Qian
A1  - Lou, Yunfeng
A1  - Jin, Xianlong
A1  - Kong, Lingshuang
A1  - Qin, Chuang
A1  - Hou, Xinyi
SP  - 661
EP  - 676
VL  - 27
IS  - 3
N2  - To obtain a rider-vehicle-road coupling system that takes both efficiency and accuracy into account, so that the simulation model of two-wheeled vehicle traffic accident can reduce the calculation time as much as possible on the premise that it can simulate human biomechanical injury and vehicle deformation, this paper proposes a new two-wheeled vehicle accident simulation model. In this method, the vehicle uses the Facet model, and the cyclist uses the hybrid human model. The coupling system of rider-vehicle-road is established and the effectiveness of the system is verified. For the collision accident between the car and two-wheeled vehicle, the simulation model is used to reconstruct in MADYMO. The results show that the motion posture of cyclists and vehicles after the collision is consistent with the accident situation, and the human injury data is consistent with the medicolegal expertise, which verifies the feasibility and effectiveness of this simulation model. This modelling method provides a new idea for the reconstruction of two-wheeled traffic accidents and the general dynamic simulation.<p />  <p>Language: en</p>
LA  - en
SN  - 1358-8265
UR  - http://dx.doi.org/10.1080/13588265.2020.1836840
ID  - ref1
ER  -