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Signal design for an isolated intersection during congestion

Author

Listed:
  • I Talmor

    (Center for Military Analyses)

  • D Mahalel

    (Technion-Israel Institute of Technology)

Abstract

This paper presents an algorithm for the signal design of an isolated intersection that will be able to alleviate long queues during severe congestion conditions, which cause both lengthy delays and harsh environmental damage. During such periods, the total effective green light is a scarce resource; its best allocation is crucial for the smooth operation of the intersection and sometimes even for a large network. The aim of the procedure presented here is to maximize the average throughput of the intersection. By achieving this goal, the number of vehicles in the queue is reduced at the fastest possible rate, and the period of congestion is shortened. The maximum throughput is achieved when the marginal flow in each phase is equal to the average throughput. The algorithm developed takes into account the decreasing flow rates of existing queues during long periods of green.

Suggested Citation

  • I Talmor & D Mahalel, 2007. "Signal design for an isolated intersection during congestion," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(4), pages 454-466, April.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:4:d:10.1057_palgrave.jors.2602146
    DOI: 10.1057/palgrave.jors.2602146
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    References listed on IDEAS

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    1. Anonymous, 1963. "Organization for Economic Cooperation and Development," International Organization, Cambridge University Press, vol. 17(1), pages 300-302, January.
    2. A Ceder & I Reshetnik, 2001. "An algorithm to minimize queues at signalized intersections," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(6), pages 615-622, June.
    3. Chang, Tang-Hsien & Lin, Jen-Ting, 2000. "Optimal signal timing for an oversaturated intersection," Transportation Research Part B: Methodological, Elsevier, vol. 34(6), pages 471-491, August.
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    Cited by:

    1. Yang Liu & Xuedong Yan & Yun Wang & Zhuo Yang & Jiawei Wu, 2017. "Grid Mapping for Spatial Pattern Analyses of Recurrent Urban Traffic Congestion Based on Taxi GPS Sensing Data," Sustainability, MDPI, vol. 9(4), pages 1-15, March.

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