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Controlled Optimization of Phases at an Intersection

Author

Listed:
  • Suvrajeet Sen

    (SIE Dept. of University of Arizona, Tucson, Arizona 85721)

  • K. Larry Head

    (SIE Dept. of University of Arizona, Tucson, Arizona 85721)

Abstract

This paper presents a general purpose algorithm for real-time traffic control at an intersection. Our methodology, based on dynamic programming, allows optimization of a variety of performance indices such as delay, stops and queue lengths. Furthermore, optimal phase sequencing is a direct by-product of this new approach. These features make the new methodology a powerful tool for intersection control. We demonstrate the usefulness of the approach by a simulation experiment in which our intersection control algorithm is interfaced with a well established simulation package called TRAF-NETSIM. Our study compares the controlled optimization of phases methodology with fully-actuated as well as semi-actuated control. We show that consistent reductions in delay may be possible by adopting the new algorithm.

Suggested Citation

  • Suvrajeet Sen & K. Larry Head, 1997. "Controlled Optimization of Phases at an Intersection," Transportation Science, INFORMS, vol. 31(1), pages 5-17, February.
    • Handle: RePEc:inm:ortrsc:v:31:y:1997:i:1:p:5-17
    DOI: 10.1287/trsc.31.1.5
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    Cited by:

    1. Rinaldi, Marco & Tampère, Chris M.J., 2015. "An extended coordinate descent method for distributed anticipatory network traffic control," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 107-131.
    2. Lloret-Batlle, Roger & Jayakrishnan, R., 2016. "Envy-minimizing pareto efficient intersection control with brokered utility exchanges under user heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 22-42.
    3. Wong, Wai & Shen, Shengyin & Zhao, Yan & Liu, Henry X., 2019. "On the estimation of connected vehicle penetration rate based on single-source connected vehicle data," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 169-191.
    4. Lu, Ke & Du, Pingping & Cao, Jinde & Zou, Qiming & He, Tianjia & Huang, Wei, 2019. "A novel traffic signal split approach based on Explicit Model Predictive Control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 155(C), pages 105-114.
    5. Wang, Xiubin Bruce & Cao, Xiaowei & Wang, Changjun, 2017. "Dynamic optimal real-time algorithm for signals (DORAS): Case of isolated roadway intersections," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 433-446.
    6. Rinaldi, Marco, 2018. "Controllability of transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 381-406.

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