摘要
基于驾驶模拟器设计了城市道路信号和无信号交叉口场景下的模拟驾驶实验,研究网联信息的存在和内容对青年驾驶人工作负荷和操纵行为的影响。实验共包括被试26人,均为22~30岁的青年驾驶人。结果表明:对无信号交叉口(区分次干路直行车辆和主路对向左转车辆)或信号交叉口红灯时间即将结束时,网联信息可以显著降低青年驾驶人的工作负荷,有效降低心率增长值(信号交叉口:减少1.95 beats/min;无信号交叉口:分别减少2.96 beats/min和3.29 beats/min)。此外,网联信息还可以显著降低青年驾驶人的制动反应时间(信号交叉口:降低2.35 s;无信号交叉口:分别降低2.71 s和2.09 s),减少车辆速度标准差(信号交叉口:31.33%;无信号交叉口:分别减少47.40%和60.23%),提升了驾驶稳定性。在信号交叉口车辆行进方向的红灯时间即将结束时,相比于指示信息,车路网联指令信息可使制动反应时间减少3.47 s,车辆的速度标准差减少39.10%。
This paper aims to investigate the effects ofthe existence and content of information from connected vehicles and infrastructure(CVI) ondriving workload and behavior of young drivers at signalized and non-signalized intersections. Driving simulationsfor such intersectionsin urban areas are developed,in which 26 young drivers aged between 22 and 30 are involved. The results show that: such information can significantly reduce the workload of young driversand the increase in heart rate reduced by 1.95 beats/min for signalized intersections and 2.96 beats/min or 3.29 beats/min for non-signalized intersections,respectively. In addition,such information can significantly reduce the response time for braking actions of young drivers with 2.35 s at signalized intersections and 2.71 s or 2.09 s at non-signalized intersections respectively. It is also found that it can improve the stability of vehicles in reducing the standard deviations of vehicle speed by 31.33% for signalized intersections and 47.40% or 60.23% for non-signalized intersections,respectively. In addition,when thered phase of the vehicle moving direction at signalized intersections is about to end,the command information from CVI can significantly reduce the response time of young drivers by 3.47 s,and the standard deviation of vehicle speed by 39.10%,compared to the effectiveness of regular instruction information.
作者
翟俊达
鲁光泉
陈发城
刘淼淼
ZHAI Junda;LU Guangquan;CHEN Facheng;LIU Miaomiao(School of Transportation Science and Engineering,Beihang University,Beijing 100191,China;Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control,Beihang University,Beijing 100191,China;Beijing Advanced Innovation Center for Big Data and Brain Computing,Beihang University,Beijing 100191,China;Research Institute of Highway,Ministry of Transport,Beijing 100088,China)
出处
《交通信息与安全》
CSCD
北大核心
2022年第1期126-134,共9页
Journal of Transport Information and Safety
基金
国家重点研发计划项目(2018YFB1600500)
国家自然科学基金项目(52131204)资助。
关键词
智能交通
驾驶行为
网联信息
青年驾驶人
城市交叉口
intelligent transportation
driving behavior
connected information
young driver
urban intersection
