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JASE ›› 2020, Vol. 11 ›› Issue (1): 44-52.DOI: 10.3969/j.issn.1674-8484.2020.01.004

• 汽车安全 • 上一篇    下一篇

基于NAIS 数据库中视频信息的人—车碰撞事故特征分析

曹  毅 1,周  华 1,肖凌云 2*,胡文浩 2,王  琰 2,李平飞 1,谭正平 1,曲现国 2,罗俊任1   

  1. (1. 西华大学 汽车与交通学院,成都 610039,中国; 
       2. 国家市场监督管理总局 缺陷产品管理中心,北京 100101,中国)
  • 收稿日期:2019-09-12 出版日期:2020-03-31 发布日期:2020-04-01
  • 通讯作者: 肖凌云 , 正高级工程师。E-mail: xiaoly@dpac.gov.cn。
  • 作者简介:第一作者 / First author: 曹毅(1993—),男 ( 汉), 四川 , 硕士研究生。E-mail: teaiscy@qq.com。
  • 基金资助:
    中央基本科研业务费(282019Y-6694);  国家车辆事故深度调查体系项目(16203269)。

Analysis of pedestrian-vehicle collision accident characteristics based on the video information from NAIS database

CAO Yi 1, ZHOU Hua 1, XIAO Lingyun 2*,HU Wenhao 2, WANG Yan 2, LI Pingfei 1, TAN Zhengping 1, QU Xianguo 2, LUO Junren 1   

  1. CAO Yi 1, ZHOU Hua 1, XIAO Lingyun 2*, HU Wenhao 2, WANG Yan 2, LI Pingfei 1, TAN Zhengping 1, QU Xianguo 2, LUO Junren1
  • Received:2019-09-12 Online:2020-03-31 Published:2020-04-01

摘要: 选取中国国家车辆事故深度调查体系(NAIS)数据库中 51例包含视频的人—车碰撞事故,进 行了特征分析,分析内容包括:人—车碰撞危险场景、碰撞前人—车相对位置、行人碰撞运动响应、人— 车碰撞包络线分布、头部落点分布等。结果表明:提取的10 种场景,基本覆盖了各种人—车碰撞事 故工况;对行人的探测,视场角(FoV)比探测距离更重要;轿车易导致行人正向旋转,单厢车易导致 行人负向旋转;人—车碰撞包络线(WAD)主要集中在车辆两侧;致命伤的头部落点主要集中在前风窗 玻璃下半部分、左右侧中部以及 A柱附近。因此,基于碰撞视频信息可提高人—车碰撞事故特征分 析的准确性。

关键词: 汽车被动安全 , 人—车碰撞 , 事故深度调查 , 事故特征 , 危险场景

Abstract: Accident characteristics were analyzed for 51 cases of pedestrian-vehicle collision with video information selected from the National Automobile Accident In-Depth Investigation System (NAIS) database of China. The analysis contents included the pedestrian-vehicle collision critical scenarios, the pre-crash relative position of pedestrian-vehicle, the pedestrian collision dynamics response, the pedestrian-vehicle collision wrap around distance (WAD) distribution, the head impact point distribution and so on. The results show that 10 kinds of scenarios extracted basically covered the pedestrian-vehicle collision scenarios. The field of view (FoV) angle is more important for pedestrian protection than that for detection distance. The sedans are easy to cause positive rotation of pedestrians, while the single-compartment vehicles are easy to cause negative rotation of pedestrians. The WAD of pedestrian-vehicle collisions are mainly distributed on both sides of vehicles. The head impact points causing fatal injuries are mainly distributed in the lower half of front windshield, the middle part of the left and right sides, and the vicinity of pillar A. Therefore, using collision video information can improve the analysis accuracy of pedestrian-vehicle collision characteristics.

Key words: vehicle passive safety , pedestrian-vehicle collision , accident in-depth investigation , accident characteristics , critical scenarios