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考虑绿灯延长的干线公交绿波优化控制模型
引用本文:强添纲,刘涛,裴玉龙,杨世军.考虑绿灯延长的干线公交绿波优化控制模型[J].交通信息与安全,2021,39(2):87-94.
作者姓名:强添纲  刘涛  裴玉龙  杨世军
作者单位:东北林业大学交通学院 哈尔滨 150040
基金项目:国家自然科学基金面上项目71771047
摘    要:针对绿灯延长控制策略使公交车辆在交叉口实际可通行时间大于社会车辆的事实,研究了考虑绿灯延长的干线信号协调优化控制模型。在MAXBAND模型考虑公交车运行速度和站点停靠时间的基础上,选择以绿灯起点作为绝对相位差的计算依据,结合最大延长绿灯时间改进对公交车辆的绿波带宽约束和时间-距离的几何关系约束,并使用Matlab求解改进模型相关参数。选取平均排队长度、社会车辆平均延误、公交车平均延误、平均停车次数和人均延误作为模型的评价指标,并使用Vissim软件对其仿真实验。实验结果表明,在无公交专用道且不考虑车辆排队影响的情况下,改进模型相较于在MAXBAND基础上考虑公交车行驶速度和靠站停车时间模型而言,5个评价指标均至少提升了2.87%;相较于MAXBAND模型而言,由于改进模型未考虑交叉口车辆排队情况,公交车平均延误增加了1.87%,但其他4个指标均至少提升了1.71%。 

关 键 词:干线信号协调控制    绿灯延长    MAXBAND模型    绿波优化    绝对相位差    公交优先
收稿时间:2020-12-25

A Green Wave Optimization Control Model of Trunk Buses Considering Green Extension
QIANG Tiangang,LIU Tao,PEI Yulong,YANG Shijun.A Green Wave Optimization Control Model of Trunk Buses Considering Green Extension[J].Journal of Transport Information and Safety,2021,39(2):87-94.
Authors:QIANG Tiangang  LIU Tao  PEI Yulong  YANG Shijun
Affiliation:School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China
Abstract:Since the actual travel time of buses at intersections is longer than that of social vehicles due to the green light extension control strategy, this paper proposes an optimization control model of trunk line signal coordination considering a green extension. The starting point of the green light is selected as the basis for calculating the absolute phase difference, considering the bus running speed and stop time in the MAXBAND model. The maximum green extension time is combined to improve the constraints on the green wave bandwidth and the time-distance geometric relation of the bus. Matlab is used to solve the relevant parameters of the improved model. The average queue length, the average delay of social vehicles, the average delay of buses, the average number of stops, and the average delay per person are selected as the evaluation indices of the model, and a simulation is conducted with Vissim software. The results show that when there is no bus lane, and the influences of vehicles queuing is not taken into account, the five evaluation indices of the improved model are improved by at least 2.87% compared with the model based on MAXBAND considering the bus traveling speed and stop time. Compared with the MAXBAND model, the average delay of buses increased by 1.87% in the improved model because the queuing situation of vehicles at intersections is not taken into account; however, the other four indices all increase by 1.71% at least. 
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