基于人-机-环境因素的未来交通事故风险研究

doi:10.16182/j.issn1004731x.joss.17WJP-012

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (3): 566-574.doi: 10.16182/j.issn1004731x.joss.17WJP-012

基于人-机-环境因素的未来交通事故风险研究

袁泉^1,2, 高岩², 裘晨璐²

1. 清华大学汽车安全与节能国家重点实验室,北京 100084;
2. 公安部交通管理科学研究所,无锡 214151

收稿日期:2016-08-10 发布日期:2019-11-20
作者简介:袁泉(1974-),男,黑龙江北安,博士,高工,研究方向为交通安全等;高岩(1978-),男,江苏徐州,硕士,副研究员,研究方向为交通安全。
基金资助:
公安部道路交通安全重点实验室开放课题(2016ZDSYSKFKT10)

Future Traffic Accident Risk Investigation Based on Human-machine-environment Factors

Yuan Quan^1,2, Gao Yan², Qiu Chenlu²

1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China;
2. Traffic Management Research Institute of the Ministry of Public Security, Wuxi 214151, China

Received:2016-08-10 Published:2019-11-20

摘要/Abstract

摘要： 基于人-机-环境系统工程理论,调研自动驾驶车辆和中国交通事故形态的发展趋势,综合考虑人、车、路因素的变化,推测未来可能出现的新的交通事故形态场景。关注探究最近发生的自动驾驶车辆事故案例。未来新的影响因素比如多种自动驾驶车辆与有人驾驶车辆共存、人机驾驶行为切换、智能交通系统的信息安全性问题等,都可能引发事故。其中,人的因素和环境影响依然重要;弱势道路使用者是自动驾驶车辆的重点避撞对象。对相关的法规制定、事故预防和处理的应对措施提出了建议。

关键词: 自动驾驶车辆, 人-机-环境因素, 交通事故, 智能交通

Abstract: Based on the theory of human-machine-environment system engineering, this paper investigated the developing trends of autonomous vehicles and the types of traffic crashes in China, and integrated changing human-vehicle-road factors of traffic system to speculate the possible new types and scenarios of traffic crashes. The recent occurred crash cases involving autonomous vehicles were concerned and investigated. In future, some new affecting factors such as the mix traffic with various autonomous vehicles and piloted vehicles, the switching of driving behavior between human and machine, and the information security of intelligent traffic system, may cause traffic crashes. Among these, the human factors and the influence of environment are still significant. Vulnerable road users are the main groups for automatic vehicles to avoid collision. The relevant laws formulating and the countermeasures for the crash prevention and processing are also suggested.

Key words: autonomous vehicle, human-machine-environment factors, traffic crashes, intelligent transportation

中图分类号:

U491.3

袁泉, 高岩, 裘晨璐. 基于人-机-环境因素的未来交通事故风险研究[J]. 系统仿真学报, 2019, 31(3): 566-574.

Yuan Quan, Gao Yan, Qiu Chenlu. Future Traffic Accident Risk Investigation Based on Human-machine-environment Factors[J]. Journal of System Simulation, 2019, 31(3): 566-574.

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基于人-机-环境因素的未来交通事故风险研究

Future Traffic Accident Risk Investigation Based on Human-machine-environment Factors

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