Literature DB >> 35640364

Should anthropometric differences between the commonly used pedestrian computational biomechanics models and Chinese population be taken into account when predicting pedestrian head kinematics and injury in vehicle collisions in China?

Fang Wang1, Jiajie Yin1, Lin Hu2, Mingliang Wang1, Xin Liu1, Karol Miller3, Adam Wittek4.   

Abstract

Computational biomechanics models play a key role in predicting/evaluating pedestrian head kinematics and injury risk in car-to-pedestrian collisions. The human multibody models most commonly used in car-to-pedestrian collision reconstruction, such as pedestrian model by The Netherlands Organisation for Applied Scientific Research TNO, are built using the anthropometry of Western European population as defined in TNO (2013) human multibody model database. In this study, we investigate the effects of the anthropometric differences between the Western European and Chinese populations on the pedestrian head kinematics and injury responses predicted using multibody models. The comparison was conducted through car-to-pedestrian collision simulations using pedestrian multibody models representing anthropometric characteristics of Western European and Chinese populations, three typical vehicle shapes (sedan, SUV and minivan), five initial vehicle impact speeds (30, 35, 40, 45, 50 km/h), and six pedestrian walking postures. The results indicate that the change of pedestrian model anthropometry (from Western European to Chinese) exerts appreciable effects on both the predicted initial boundary conditions of the head-to-windscreen impact (in particular the head-to-windscreen impact angle) and the head injury indices in the impact with the road surface (secondary impact).
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anthropometry; Car-to-pedestrian collision; Computational biomechanics model; Head injury; Multibody model; Population

Mesh:

Year:  2022        PMID: 35640364     DOI: 10.1016/j.aap.2022.106718

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  The Real-World Effects of Route Familiarity on Drivers' Eye Fixations at Urban Intersections in Changsha, China.

Authors:  Lin Hu; Guangtao Guo; Jing Huang; Xianhui Wu; Kai Chen
Journal:  Int J Environ Res Public Health       Date:  2022-08-03       Impact factor: 4.614

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.