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Optimal signal timing for an oversaturated intersection

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  • Chang, Tang-Hsien
  • Lin, Jen-Ting

Abstract

Traffic congestion occurs frequently at downtown intersections during rush hours, at road construction zones as well as at accident sites. Under such circumstances, traffic flow exceeds intersection capacity causing queuing of automobiles that cannot be eliminated in one signal cycle. In this paper, we present a timing decision methodology which considers the whole oversaturation period. Discrete dynamic optimization models are developed and an algorithm to solve them is presented. The optimal cycle length and the optimal assigned green time for each approach are determined for the case of two-phase control. The application of the performance index model to certain multi-phase signals in common use is also introduced. Evaluation results indicate that the proposed discrete type performance index model is a more appropriate design for congested traffic signal timing control.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transb:v:34:y:2000:i:6:p:471-491
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    References listed on IDEAS

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    1. G. C. D'Ans & D. C. Gazis, 1976. "Optimal Control of Oversaturated Store-and-Forward Transportation Networks," Transportation Science, INFORMS, vol. 10(1), pages 1-19, February.
    2. Anonymous, 1965. "Organization for Economic Cooperation and Development," International Organization, Cambridge University Press, vol. 19(1), pages 150-153, January.
    3. Richard E. Allsop, 1972. "Delay at a Fixed Time Traffic Signal---I: Theoretical Analysis," Transportation Science, INFORMS, vol. 6(3), pages 260-285, August.
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    Cited by:

    1. Chang, Tang-Hsien & Sun, Guey-Yin, 2004. "Modeling and optimization of an oversaturated signalized network," Transportation Research Part B: Methodological, Elsevier, vol. 38(8), pages 687-707, September.
    2. D’Acierno, Luca & Gallo, Mariano & Montella, Bruno, 2012. "An Ant Colony Optimisation algorithm for solving the asymmetric traffic assignment problem," European Journal of Operational Research, Elsevier, vol. 217(2), pages 459-469.
    3. Arshad Jamal & Muhammad Tauhidur Rahman & Hassan M. Al-Ahmadi & Irfan Ullah & Muhammad Zahid, 2020. "Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    4. 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.
    5. Chen, Xiangdong & Lin, Xi & Li, Meng & He, Fang, 2022. "Multi-rhythm control for heterogeneous traffic and road networks in CAV environments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    6. Gaizhen Wang & Wei Qin & Yunhao Wang, 2021. "Cyclic Weighted k -means Method with Application to Time-of-Day Interval Partition," Sustainability, MDPI, vol. 13(9), pages 1-13, April.
    7. Mohammed Al-Turki & Arshad Jamal & Hassan M. Al-Ahmadi & Mohammed A. Al-Sughaiyer & Muhammad Zahid, 2020. "On the Potential Impacts of Smart Traffic Control for Delay, Fuel Energy Consumption, and Emissions: An NSGA-II-Based Optimization Case Study from Dhahran, Saudi Arabia," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
    8. Aleksandar Jovanović & Dušan Teodorović, 2017. "Pre-timed control for an under-saturated and over-saturated isolated intersection: a Bee Colony Optimization approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(5), pages 556-576, July.
    9. Ennio Cascetta & Mariano Gallo & Bruno Montella, 2006. "Models and algorithms for the optimization of signal settings on urban networks with stochastic assignment models," Annals of Operations Research, Springer, vol. 144(1), pages 301-328, April.

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