直左复线有轨电车干线可变带宽绿波模型

交通运输系统工程与信息 ›› 2021, Vol. 21 ›› Issue (2): 73-81.

• 智能交通系统与信息技术 • 上一篇下一篇

直左复线有轨电车干线可变带宽绿波模型

王昊^{*1a, 1b, 1c}，黎冬平²，孙国鼎^{1a, 1b, 1c}

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

收稿日期:2021-01-25 修回日期:2021-03-10 出版日期:2021-04-25 发布日期:2021-04-25
作者简介:王昊(1980- )，男，江苏高淳人，教授。
基金资助:
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)。

Multiband Model for Arterial Traffic Involving Straight and Left Turn Trams

WANG Hao^{*1a, 1b}, 1c , LI Dong-ping² , SUN Guo-ding^{1a, 1b, 1c}

1a. 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

Received:2021-01-25 Revised:2021-03-10 Online:2021-04-25 Published:2021-04-25

摘要/Abstract

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

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.

Key words: traffic engineering, arterial traffic signal coordination, mixed integer programming, tram, straight and left turn tram lines

中图分类号:

U491.54

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.

WANG Hao, LI Dong-ping,SUN Guo-ding. Multiband Model for Arterial Traffic Involving Straight and Left Turn Trams[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(2): 73-81.

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http://www.tseit.org.cn/CN/Y2021/V21/I2/73

参考文献

[1] LITTLE J D C. The synchronization of traffic signals by mixed-integer linear programming[J]. Operations Research, 1966, 14(4): 568-594.

[2] LITTLE J D C, KELSON M D, GARTNER N H. MAXBAND: A versatile program for setting signals on arteries and triangular networks[J]. Transportation Research Record, 1981, 795: 40-46.

[3] GARTNER N H, ASSMANN S F, LASAGA F, et al. A multi-band approach to arterial traffic signal optimization[J]. Transportation Research Part B: Methodological, 1991, 25(1): 55-74.

[4] STAMATIADIS C, GARTNER N H. Progression optimization in large scale urban traffic networks: A heuristic decomposition approach[C]. 14th International Symposium on Transportation and Traffic Theory, Jerusalem, 1999, 645-662.

[5] GARTNER N H, STAMATIADIS C. Progression optimization featuring arterial- and route- based priority signal networks[J]. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2004, 8 (2): 77-86.

[6] JEONG Y, KIM Y. Tram passive signal priority strategy based on the MAXBAND model[J]. KSCE Journal of Civil Engineering, 2014, 18(5): 1518-1527.

[7] ZHANG C, XIE Y, GARTNER N H, et al. AM-Band: An asymmetrical multi-band model for arterial traffic signal coordination[J]. Transportation Research Part C. 2015, 58: 515-531.

[8] 王殿海, 杨希锐, 宋现敏. 交通信号干线协调控制经典数值计算法的改进[J]. 吉林大学学报(工学版), 2011, 41(1): 29- 34. [WANG D H, YANG X R, SONG X M. Improvement of classical numerical method for arterial road signal coordinated control[J]. Journal of Jilin University, 2011, 41(1): 29-34]

[9] DAI G, WANG H, WANG W. Signal optimization and coordination for bus progression based on MAXBAND [J]. KSCE Journal of Civil Engineering, 2016, 20(2): 890- 898.

[10] 周洋帆, 王莹, 韦伟, 等. 考虑运行图约束的有轨电车干线信号协调优化模型[J]. 交通运输系统工程与信息, 2018, 18(2): 73-79. [ZHOU Y F, WANG Y, WEI W, et al. An arterial signal coordination optimization model for trams considering timetable constraints[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(2): 73-79.]

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直左复线有轨电车干线可变带宽绿波模型

Multiband Model for Arterial Traffic Involving Straight and Left Turn Trams

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