期刊
ACCIDENT ANALYSIS AND PREVENTION
卷 89, 期 -, 页码 128-141出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.aap.2016.01.013
关键词
Self-balancing scooter; Traffic accidents; Ground impact; Brain injuries
类别
资金
- Fundamental Research Funds for the Central Universities, Beihang University
- startup fund for Zhuoyue 100 titled professor, Beihang University
The safety performance of an electric self-balancing scooter (ESS) has recently become a main concern in preventing its further wide application as a major candidate for green transportation. Scooter riders may suffer severe brain injuries in possible vehicle crash accidents not only from contact with a windshield or bonnet but also from secondary contact with the ground. In this paper, virtual vehicle-ESS crash scenarios combined with finite element (FE) car models and multi-body scooter/human models are set up. Post impact kinematic gestures of scooter riders under various contact conditions, such as different vehicle impact speeds, ESS moving speeds, impact angles or positions, and different human sizes, are classified and analyzed. Furthermore, head-ground impact processes are reconstructed using validated FE head models, and important parameters of contusion and laceration (e.g., coup or contrecoup pressures and Von Mises stress and the maximum shear stress) are extracted and analyzed to assess the severity of regional contusion from head-ground contact. Results show that the brain injury risk increases with vehicle speeds and ESS moving speeds and may provide fundamental knowledge to popularize the use of a helmet and the vehicle-fitted safety systems, and lay a strong foundation for the reconstruction of ESS-involved accidents. There is scope to improve safety for the use of ESS in public roads according to the analysis and conclusions. (C) 2016 Elsevier Ltd. All rights reserved.
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