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分析瑞典和荷兰在自行车与汽车碰撞事故中导致自行车骑行者受伤的数据。

Analysis of Swedish and Dutch accident data on cyclist injuries in cyclist-car collisions.

机构信息

Vehicle Safety Institute, Graz University of Technology, Graz, Austria.

Swedish National Road and Transport Research Institute, Vti, Gothenburg, Sweden.

出版信息

Traffic Inj Prev. 2019;20(sup2):S160-S162. doi: 10.1080/15389588.2019.1679551. Epub 2019 Nov 14.

DOI:10.1080/15389588.2019.1679551
PMID:31725328
Abstract

To reduce the number of severe injuries sustained by cyclists in crashes with vehicles, it is important to understand which kinds of injuries are occurring to identify what should be assessed by means of virtual testing. A detailed analysis of injuries was made based on Swedish and Dutch accident data. The most frequently injured body regions and the most frequent single injuries of these body regions were analysed. Cyclists most frequently injured their heads, upper and lower extremities, and bone fractures as well as brain injuries were identified as one of the most important injuries. For the virtual assessment of cyclist protection, injury predictors for long bone, skull and pelvic fractures as well as brain injuries are required in Human Body Models.

摘要

为了减少自行车骑手在与车辆碰撞中受重伤的人数,了解发生哪些类型的伤害至关重要,以便确定哪些伤害应该通过虚拟测试来评估。本研究基于瑞典和荷兰的事故数据对伤害进行了详细分析。分析了最常受伤的身体部位以及这些部位最常见的单一伤害。研究人员发现,自行车骑手最常受伤的部位是头部、上肢和下肢,骨折和脑损伤是最常见的伤害之一。对于自行车手保护的虚拟评估,人体模型需要预测长骨、颅骨和骨盆骨折以及脑损伤的伤害预测因子。

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