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直左复线有轨电车干线可变带宽绿波模型
引用本文:王昊,黎冬平,孙国鼎.直左复线有轨电车干线可变带宽绿波模型[J].交通运输系统工程与信息,2021,21(2):73-81.
作者姓名:王昊  黎冬平  孙国鼎
作者单位:1. 东南大学,a. 交通学院,b. 城市智能交通江苏省重点实验室,c. 现代城市交通技术江苏高校协同创新中心,南京 211189;2. 上海市城市建设设计研究总院(集团)有限公司,上海 200125
基金项目:国家重点研发计划/National Key Research and Development Program of China(2019YFB1600200);上海市自然科学基金/Natural Science Foundation of Shanghai, China(20ZR1441900)。
摘    要:为降低有轨电车在交叉口的停车次数和交通延误,同时兼顾社会车辆通行效率,提出可容纳直行线路、左转线路有轨电车和社会车辆3类绿波系统的干线信号协调控制方法。设计直左轨道分叉交叉口的4种信号相位组合方案,构建社会车辆绿波系统、有轨电车直行线路和左转线路绿波系统的约束条件,以及3个绿波系统的交互性约束条件。基于可变绿波带宽优化模型,提出以社会车辆绿波带宽最大为优化目标的混合整数规划模型,并应用算例对所提模型进行有效性验证。研究结果表明:算例中有轨电车线路绿波带宽为10 s,社会车辆双向绿波带宽不低于34 s,最大绿波带宽为63.6 s。本文模型能够在满足直行与左转复线有轨电车绿波通行的条件下,为干线社会车辆提供最大带宽绿波,有效提升了直左复线有轨电车与干线社会车辆整体的通行效率。

关 键 词:交通工程  干线信号协调  混合整数规划  有轨电车  直左复线  
收稿时间:2021-01-25

Multiband Model for Arterial Traffic Involving Straight and Left Turn Trams
WANG Hao,LI Dong-ping,SUN Guo-ding.Multiband Model for Arterial Traffic Involving Straight and Left Turn Trams[J].Transportation Systems Engineering and Information,2021,21(2):73-81.
Authors:WANG Hao  LI Dong-ping  SUN Guo-ding
Institution:1.a. School of Transportation, 1b. Jiangsu Key Laboratory of Urban ITS, 1c. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China; 2. Shanghai Urban Construction Design and Research Institute (Group) CO. LTD., Shanghai 200125, China
Abstract:In order to reduce the delay and stoppages of the trams and take into account the efficiency of general traffic, this paper proposes an arterial traffic signal coordination method which includes straight tram lines, left turn tram lines and general traffic together. First, four typical phase schemes were designed for the intersection with straight and left turn tram lines. Second, the constraints of green wave systems for the general traffic, the straight trams, and the left turn trams were established, respectively. The interactive constraints of the three green waves systems were constructed as well. Third, the constraints and objective function constituted a mixed integer programming, based on the classic MULTIBAND model. Finally, a case study was performed for the model validation. The bandwidths of green waves for trams were 10 s, and the bandwidths of green waves for general traffic were more than 34 s, with 63.6 s as the maximum bandwidth. The results indicate that the proposed arterial traffic signal coordination model can find the optimal solution of the green wave with maximal bandwidth for general traffic, under the premise of providing both straight trams and left turn trams basic green wave systems.
Keywords:traffic engineering  arterial traffic signal coordination  mixed integer programming  tram  straight and left turn tram lines  
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