Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2021, Vol. 12 ›› Issue (1): 43-51.DOI: 10.3969/j.issn.1674-8484.2021.01.004

• Automotive Safety • Previous Articles     Next Articles

Cyclist head responses in electric-bicycle-to-SUV accidents based on decision tree model

LI Huan1(), BAI Zhonghao1, GAO Wenrui1, CHOU Clifford C.2, JIANG Binhui1,*()   

  1. 1. Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Changsha 410082, China
    2. Bioengineering Center, Wayne State University, Detroit 48201, USA
  • Received:2022-02-09 Online:2021-03-31 Published:2021-04-02
  • Contact: JIANG Binhui E-mail:lihuanhnu@163.com;jjhhzz123@163.com

Abstract:

A multi-rigid body model for electric-bicycle (E-bike) -to-SUV (sports utility vehicle) impact was used to adjust the parameters to obtain the cyclist’s head kinematic responses in different accident conditions to improve the protections on the head of cyclists. Through the C4.5 decision tree algorithm, the decision tree models of cyclist’s head kinematic responses were then created from this dataset and verified accordingly. The results show that initial impact velocity of SUV is a key factor affected the cyclist head responses. Increasing the initial impact velocity of SUV increases the cyclist’s head relative impact velocity, WAD (wrap around distance) of head impact location, and head injury criterrion (HIC15). And the WAD of cyclist’s head impact location is also significantly affected by the body size of cyclist. The WAD of head impact location becomes higher with increasing body size of cyclist. Therefore, the decision tree model will be used to predict and decision for guiding develop tests for cyclist’s head safety assessment regulatory and for investigating head protection.

Key words: electric-bicycle (E-bike), cyclist safety, head response, head injury, decision tree model

CLC Number: