摘要
在道路交通智能化快速发展的各类技术迭代过程中,驾驶人的行为决策负荷提升。提出路域无关信息域(IIR)并研判其对驾驶人注视行为的影响。通过实车试验得到驾驶人眼动数据,引入马尔可夫链理论,量化驾驶人注视转移模式,得出无关信息域(IIR)占用驾驶人视觉负荷,结论及方法可为进一步各类复杂场景下的驾驶人行为研究及路域交通设施的设置提供依据。
With the rapid development of iterative technology in transportation intelligence,drivers’burden of behavior decision is heavily increased.This paper proposes Irrelevant Information Range(IIR)and studies its influence on driver’s fixation behavior.The driver’s eye movement data is obtained by real vehicle test,the Markov chain theory was introduced to quantify the driver’s fixation shift patterns,and it concludes that the Irrelevant Information Range(IIR)occupied the driver’s visual load.Both the conclusions and methods can provide basis for further study of driver’s behaviors and the setting of traffic facilities in the road area under various complex scenarios.
作者
沈一川
SHEN Yi-chuan(Tongji Architectural Design(Group)Co.,Ltd.;Shanghai Engineering Research Center of Road Safety and Smart Mobility)
出处
《智能建筑与智慧城市》
2021年第4期136-139,共4页
Intelligent Building & Smart City
基金
上海市科技计划项目,项目号:20DZ2252100
关键词
道路安全
注视行为
无关信息域
马尔可夫链
road safety
fixation behaviors
irrelevant information range
Markov chain