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汽车安全与节能学报

汽车安全与节能学报 ›› 2012, Vol. 3 ›› Issue (1): 19-25.DOI: 10.3969/j.issn.1674-8484.2012.01.003

• 汽车安全 • 上一篇    下一篇

基于真实事故数据的人车碰撞事故场景设计与驾驶模拟实验 （英文）

袁泉，胡孟夏，李一兵   

  1. 清华大学 汽车安全与节能国家重点试验室，北京100084， 中国
  • 收稿日期:2012-02-16 出版日期:2012-03-25 发布日期:2012-03-28
  • 作者简介:袁泉/YUAN Quan (1974—），男( 汉)，黑龙江，博士，高级工程师。E-mail: yuanq@mail.tsinghua.edu.cn
  • 基金资助:

    清华大学汽车安全与节能重点试验室自主科研计划项目（ZZ2010-153）

Scenario Design and Driving Simulation Experiment of Vehicle-to-Pedestrain Accidents Based on Real Accident Data

YUAN Quan, HU Mengxia, LI Yibing   

  1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
  • Received:2012-02-16 Online:2012-03-25 Published:2012-03-28

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摘要： 为了获得驾驶员的应急操作数据，供事故再现参考，开展了驾驶模拟试验研究。结合近年来
积累的交通事故调研经验，基于已构建的北京市汽车碰撞行人事故案例数据源，对88 例人车碰撞事
故中的人、车、路的深入数据进行分析，归纳提取出典型的事故形态、碰撞特点和道路场景，包括
车辆与行人的运动特点、道路类型特征、驾驶员措施等方面。建立人车碰撞事故的虚拟现实场景，根
据典型参数及工况，进行人车冲突的触发试验。由此获得了驾驶员应急措施的初步结论，验证了试
验方法的合理性，为人车事故的驾驶模拟与事故再现的结合研究奠定基础。

关键词: 人车碰撞事故, 驾驶模拟, 事故场景, 驾驶员行为

Abstract: A driving simulation test was performed to obtain the driver’s emergency operating data as a
reference for accident reconstruction. In-depth human-vehicle-road data from 88 accident cases were analyzed
according to the experiences of traffic accident investigation, based on the real data source of vehicleto-
pedestrian accidents in Beijing. The typical accident modality, impact character and road scene were
summarized, including the motion status of the vehicle and pedestrian, the type and characteristics of roads,
and the emergency behavior of drivers to build a virtual reality emulation of vehicle-to-pedestrian accidents.
The trigger experiments of human-vehicle conflicts were exerted using typical parameters for designed working
conditions. Then the former conclusions of driver’s emergency measures were obtained with the feasibility of
test methods being verified, which provides references for the combination research of driving simulation and
accident reconstruction.

Key words: vehicle-to-pedestrian accidents, driving simulation, accident scenario, driver behavior

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