摘要
随着智能交通的快速发展,驾驶员较以往所获得的信息量大幅增加,随之加重了其任务转换节奏,增大了脑力负荷,产生了驾驶安全的又1个研究重点。文中研究情景感知的脑力负荷,以期更清楚的了解事故发生的原因。介绍了几种情景感知的应用,建立了驾驶员的情景感知仿真模型,对仿真模型进行了评估,进行了事故致因分析。
With the development of intelligent transportation,the information drivers obtain has increased much more than ever before.As a result,its task switching rhythm is accelerated and the drivers' brain load is also increased,which produces a new research point in the fields of driving safety.This paper studies the brain load of situation awareness in order to understand the causes of the accident more clearly.First of all,the paper introduces the application of several situation awareness systems and establishes the drivers' situation awareness simulation model.Then the simulation model is evaluated.In addition,the accident causation is analyzed.
出处
《交通信息与安全》
2013年第2期74-78,共5页
Journal of Transport Information and Safety
基金
国家自然科学基金资助项目(批准号:6120048)
广东省产学研结合项目(2011A90200013)资助
关键词
情景感知
事故致因
智能交通
脑负荷
仿真模型
situation awareness
accident causation
intelligent transportation
brain load
simulation model
