摘要
为检验无控平交口实时风险预警系统(RTCRWS)的警示效果、了解其对驾驶人行为特性的影响;搭建3个道路交叉口虚拟仿真场景进行驾驶模拟实验,获取T_(SDNN)、T_(RMSSD)、N_(LF-norm)、N_(LF/HF)等生理行为数据,采集车速均值、车速标准差和车速变异系数等驾驶操作行为数据。统计分析了被试驾驶人行为特性,研究了RTCRWS对驾驶人行为的影响,应用因子分析方法对不同交通条件下RTCRWS的警示效果进行了综合评价。研究结果表明:RTCRWS对驾驶人群体的警示效果良好,能够提升无控平交口处的安全水平、降低驾驶人通过无控平交口的行驶车速、缓解驾驶人的紧张情绪;不同交通条件下驾驶人对RTCRWS的警示效果存在差异,驾驶人的心理紧张程度按照轻度交通流无预警、轻度交通流有预警和重度交通流有预警的顺序依次减弱。
In order to test the warning effect of real-time risk early warning system at unsignalized intersection and understand its influence on drivers behavior characteristics,three virtual simulation scenarios of road intersections were built to carry out driving simulation experiments.Physiological behavior data such as T_(DNN),T_(RMSSD),N_(LF-norm) and N_(LF/HF) were obtained,and driving operation behavior data such as average vehicle speed,standard deviation of vehicle speed and variation coefficient of vehicle speed were collected.Statistical analysis was conducted on the behavior characteristics of the test drivers,and the impact of RTCRWS on driver behavior was studied.The warning effect of RTCRWS under different traffic conditions was comprehensively evaluated by factor analysis method.The research results show that RTCRWS has a good warning effect on the driver groups,which can improve the safety level of unsignalized intersection,reduce the speed of drivers passing through the unsignalized intersection and alleviate the tension of drivens.The warning effect of RTCRWS varies among drivers under different traffic conditions.The psychological tension level of drivers decreases in order of no warning for mild traffic flow,warning for mild traffic flow and warning for severe traffic flow.
作者
郭凤香
熊昌安
倪定安
苏宇
杨文臣
GUO Fengxiang;XIONG Changan;NI Dingan;SU Yu;YANG Wenchen(Faculty of Transportation Engineering,Kunming University of Science and Technology,Kunming 650500,Yunnan,China;National Engineering Laboratory for Surface Transportation Weather Impacts Prevention,Yunnan Institute of Transportation Planning and Design,Kunming 650200,Yunnan,China)
出处
《重庆交通大学学报（自然科学版）》
CAS
CSCD
北大核心
2023年第5期101-108,151,共9页
Journal of Chongqing Jiaotong University(Natural Science)
基金
国家重点研发计划项目(2017YFC0803906)
国家自然科学基金项目(71961012)。
关键词
交通运输工程
驾驶人行为特性
无控平交口实时风险预警系统
因子分析
驾驶模拟器
traffic and transportation engineering
driver s behavior characteristics
real-time risk early warning system at unsignalized intersection
factor analysis
driving simulator
