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Dynamic optimal real-time algorithm for signals (DORAS): Case of isolated roadway intersections

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  • Wang, Xiubin Bruce
  • Cao, Xiaowei
  • Wang, Changjun

Abstract

This paper studies intersection signal control in which traffic arrivals from all approaches along with the queues are assumed known. The control policy minimizes the overall intersection delay by deciding the green intervals for signal phases dynamically as driven by real-time traffic but subject to a set of constraints such as min/max green time for each phase. This paper models intersection vehicle delay by assuming continuous vehicle arrival and departure, and presents the optimal condition for green signal switch. Prior to this work, there does not appear to have been a continuous model on optimal control applied to the general intersection. Two numerical algorithms are proposed: optimum based (DORAS) and queue-based heuristic (DORAS-Q) respectively. Numerical tests are conducted via discrete simulation using an actual intersection data covering peak, mid-day and mid-night hours, respectively. Comparison is conducted between actuated, DORAS, DORAS-Q and OPAC III. The tests show that the latter three methods all perform significantly better than the actuated.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transb:v:106:y:2017:i:c:p:433-446
    DOI: 10.1016/j.trb.2017.06.005
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    References listed on IDEAS

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    Cited by:

    1. Mohajerpoor, Reza & Saberi, Meead & Ramezani, Mohsen, 2019. "Analytical derivation of the optimal traffic signal timing: Minimizing delay variability and spillback probability for undersaturated intersections," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 45-68.
    2. Zhou, Xuesong, 2017. "Recasting and optimizing intersection automation as a connected-and-automated-vehicle (CAV) scheduling problem: A sequential branch-and-bound search approach in phase-time-traffic hypernetworkAuthor-N," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 479-506.

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