基于信息感知的高速公路事故路段限速方案及仿真

Speed-limited Scheme and Simulation of Traffic Accident Scenes on Freeway Based on Information Perception

事故现场的存在改变了交通流状态,影响车辆的安全行驶,如果事故现场处置不合理,易诱发二次交通事故.根据车辆行驶特征以及驾驶员行为特性,将高速公路事故路段进行区域划分;参考驾驶员的动视力和视野范围,建立基于信息感知的高速公路事故路段限速逻辑模型.在仿真环境下,选取通行能力、最大排队长度、平均速度和速度样本标准偏差等评价参数,比对限速方案和不限速方案,结果表明:在各特征交通流量下,通行能力变化不大,限速方案下平均速度降低,最大排队长度和速度标准差也降低.

Accident scenes change the station of traffic flow and affect driving safely. Unreasonable disposal of accident scenes induces secondary traffic accidents. The accidents scenes on freeway were divided into microcosmic region according to the characteristics of vehicles driving and driver behavior. Speed-limit models based on information perception was established according to visual acuity and vis- ual field of drivers. Evaluation indexes including traffic capacity, the max queue length, average velocity and standard deviation of speed sample were chosen to be compared for speed-limited scheme and not. The results show that traffic capacity has not significant difference, average velocity is lower in speed limited scheme, the max queue length and standard deviation of speed sample decrease in various traffic volume.