车路协同环境下单点交叉口公交信号优先策略  

Bus signal priority strategy at singlepoint intersections in a vehicle-infrastructure cooperative environment

作　　者：张允涛 郝斌斌 李文婧 Zhang Yuntao;Hao Binbin;Li Wenjing(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)

机构地区：[1]兰州交通大学交通运输学院,兰州730070

出　　处：《青海交通科技》2023年第5期15-23,40,共10页Qinghai Transportation Science and Technology

摘　　要：基于车路协同的运行环境,以交叉口人均延误最小为优化目标,考虑公交车辆的速度和到达时刻等约束条件,设计了运行车速与信号控制相协调的实时优先控制方法,提出了适用于单点交叉口的实时优先控制策略。为了验证本文模型适用性,设计一个典型的四相位信号控制交叉口,利用SUMO仿真软件进行仿真分析,结果表明:在交叉口低、中、高三种饱和度情况下,公交车辆的延误相比优化前分别降低了20.2%、28.4%、17.4%;社会车辆平均延误分别降低了10.8%、4.7%、-4.8%;人均延误分别降低了14.2%、13.6%、4.6%。同时,相比无优先信号控制(Non—TSP)和常规感应优先信号控制(CIC—TSP)两种方案,本文策略可以减少停车次数和排队长度,同时可以减少公交优先策略对于社会车辆的影响。Based on the vehicle-infrastructure cooperative operating environment,with the minimization of average delay at intersections as the optimization objective,considering the constraints of bus speed and arrival time,a real-time priority control method that coordinates the operation speed and signal control is designed,and a real-time priority control strategy suitable for single-point intersections is proposed.In order to verify the applicability of the model in this paper,a typical four-phase signal-controlled intersection is designed,and simulation analysis is carried out using the SUMO simulation sofware.The results show that:under the low,medium,and high saturation conditions at the intersection,the delay of the bus is reduced by 20.2%,28.4%,and 17.4%respectively compared to before optimization;the average delay of the general vehicles is reduced by 10.8%,4.7%,and-4.8%respectively;and the average delay per person is reduced by 14.2%,13.6%,and 4.6%respectively.At the same time,compared with the non-priority signal control(Non-TSP)and conventional induction priority signal control(CIC-TSP)schemes,the strategy in this paper can reduce the number of stops and queue length,and reduce the impact of the bus priority strategy on general vehicles.

关 键 词：智能交通 实时优先控制 车路协同 公交优先 

分 类 号：U491.54[交通运输工程—交通运输规划与管理]