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A Signal Coordination Model for Long Arterials Considering Link Traffic Flow Characteristics

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  • Xiaoyue Wen

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
    Enjoyor Technology Co., Ltd., Hangzhou 311422, China)

  • Dianhai Wang

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Sheng Jin

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Guomin Qian

    (Enjoyor Technology Co., Ltd., Hangzhou 311422, China
    College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Yixuan Zhu

    (Enjoyor Technology Co., Ltd., Hangzhou 311422, China)

Abstract

In order to improve the travel efficiency on a long arterial with massive signals, this paper proposed a mixed integer linear programming model, MaxBandLAM, to simultaneously optimize the arterial partition scheme and signal coordination schemes with the consideration of link traffic flow characteristics. The weighted sum of the two-way green bandwidths on links across the arterial was taken as its objective. The link volume to capacity rations were taken as the weights. The number of sub-zones, the allocation of signals and links, signal cycle, offset and phase sequence, the coordination speed, as well as the two-way green bandwidths of sub-zones and of links are the decision variables. A numerical test was carried out on a virtual arterial with twenty signals. The results indicate the scheme generated by the MaxBandLAM model can provide a more reasonable partition scheme and coordination schemes compared to those generated by Synchro and the models with no traffic flow characteristics of links consideration. For the scenario of dominating the main road through flows, the average delay, average stop number, and average travel speed at intersections for all-turning flows and main road through flows in the MaxBandLAM scheme, all performed well.

Suggested Citation

  • Xiaoyue Wen & Dianhai Wang & Sheng Jin & Guomin Qian & Yixuan Zhu, 2023. "A Signal Coordination Model for Long Arterials Considering Link Traffic Flow Characteristics," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14874-:d:1259583
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    References listed on IDEAS

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    1. Little, John D. C. & Kelson, Mark D. & Gartner, Nathan H., 1981. "MAXBAND : a versatile program for setting signals on arteries and triangular networks," Working papers 1185-81., Massachusetts Institute of Technology (MIT), Sloan School of Management.
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