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Modeling and optimization of an oversaturated signalized network

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  • Chang, Tang-Hsien
  • Sun, Guey-Yin

Abstract

This paper proposes a dynamic method to control an oversaturated traffic signal network by utilizing a bang-bang like model for the oversaturated intersections and TRANSYT-7F for the undersaturated intersections. An algorithm entitled the maximal progression possibility determines the optimal operating procedure by searching for progression routes and smoothing the transition between successive control cycles. The proposed model integrates two different operating procedures: saturated and undersaturated. The method was tested in a network comprising a core area of 12 initially oversaturated intersections that are surrounded by thirteen undersaturated intersections. It was concluded that the proposed method is much more effective in relieving congestion in a network than TRANSYT-7F. Since TRANSYT-7F is not suited for oversaturated network signal timing control, it can be mitigated through integration with the proposed model.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transb:v:38:y:2004:i:8:p:687-707
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    References listed on IDEAS

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    1. 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. Bar-Gera, Hillel & Mirchandani, Pitu B. & Wu, Fan, 2006. "Evaluating the assumption of independent turning probabilities," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 903-916, December.
    2. Jiang, Yi & Li, Shuo & Shamo, Daniel E., 2006. "A platoon-based traffic signal timing algorithm for major-minor intersection types," Transportation Research Part B: Methodological, Elsevier, vol. 40(7), pages 543-562, August.
    3. 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).
    4. Junwoo Song & Simon Hu & Ke Han & Chaozhe Jiang, 2020. "Nonlinear Decision Rule Approach for Real-Time Traffic Signal Control for Congestion and Emission Mitigation," Networks and Spatial Economics, Springer, vol. 20(3), pages 675-702, September.
    5. Jovanović, Aleksandar & Kukić, Katarina & Stevanović, Aleksandar, 2021. "A fuzzy logic simulation model for controlling an oversaturated diverge diamond interchange and ramp metering system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 182(C), pages 165-181.

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