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Joint Implementation of Signal Control and Congestion Pricing in Transportation Network

Author

Listed:
  • Wei Mao
  • Feifei Qin
  • Yihong Hu
  • Zhijia Tan

Abstract

The policy of jointly implementing signal control and congestion pricing in the transportation network is investigated. Bilevel programs are developed to model the simultaneous optimization of signal setting and congestion toll. The upper level aims to maximize the network reserve capacity or minimize the total travel time, subject to signal setting and toll constraints. The lower level is a deterministic user equilibrium problem given a plan of signal setting and congestion charge. Then the bilevel programs are transferred into the equivalent single level programs, and the solution methods are discussed. Finally, a numerical example is presented to illustrate the concepts and methods, and it is shown that the joint implementation policy can achieve promising results.

Suggested Citation

  • Wei Mao & Feifei Qin & Yihong Hu & Zhijia Tan, 2013. "Joint Implementation of Signal Control and Congestion Pricing in Transportation Network," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:315752
    DOI: 10.1155/2013/315752
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    References listed on IDEAS

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    1. Wong, S. C. & Yang, Hai, 1997. "Reserve capacity of a signal-controlled road network," Transportation Research Part B: Methodological, Elsevier, vol. 31(5), pages 397-402, October.
    2. Wang, David Z.W. & Lo, Hong K., 2010. "Global optimum of the linearized network design problem with equilibrium flows," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 482-492, May.
    3. Zhang, Xiaoning & Yang, Hai, 2004. "The optimal cordon-based network congestion pricing problem," Transportation Research Part B: Methodological, Elsevier, vol. 38(6), pages 517-537, July.
    4. Zhang, Xiaoning & Huang, Hai-Jun & Zhang, H.M., 2008. "Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city," Transportation Research Part B: Methodological, Elsevier, vol. 42(1), pages 38-56, January.
    5. Yang, Hai & Yagar, Sam, 1995. "Traffic assignment and signal control in saturated road networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(2), pages 125-139, March.
    6. Yang, Hai & Zhang, Xiaoning & Meng, Qiang, 2004. "Modeling private highways in networks with entry-exit based toll charges," Transportation Research Part B: Methodological, Elsevier, vol. 38(3), pages 191-213, March.
    7. Zhang, Xiaoning & Yang, Hai & Huang, Hai-Jun, 2011. "Improving travel efficiency by parking permits distribution and trading," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1018-1034, August.
    8. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.
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    Cited by:

    1. Hsun-Jung Cho & You-Heng Huang, 2014. "Solving Signal Control Problems with Second‐Order Sensitivity Information of Equilibrium Network Flows," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).

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