• DocumentCode
    743056
  • Title

    Capacity-Aware Backpressure Traffic Signal Control

  • Author

    Gregoire, Jean ; Xiangjun Qian ; Frazzoli, Emilio ; de La Fortelle, Arnaud ; Wongpiromsarn, Tichakorn

  • Author_Institution
    Mines ParisTech-PSL Res. Univ., Paris, France
  • Volume
    2
  • Issue
    2
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    164
  • Lastpage
    173
  • Abstract
    The control of a network of signalized intersections is considered. Previous work demonstrates that the so-called backpressure control provides stability guarantees, assuming infinite queues capacities. In this paper, we highlight the failing current of backpressure control under finite capacities by identifying sources of nonwork conservation and congestion propagation. We propose the use of a normalized pressure which guarantees work conservation and mitigates congestion propagation, while ensuring fairness at low traffic densities, and recovering original backpressure as capacities grow to infinity. This capacity-aware backpressure control enables improving performance as congestion increases, as indicated by simulation results, and keeps the key benefits of backpressure: the ability to be distributed over intersections and O(1) complexity.
  • Keywords
    computational complexity; road traffic control; stability; O(1) complexity; capacity-aware backpressure traffic signal control; congestion propagation; traffic density; Complexity theory; Control systems; Junctions; Niobium; Servers; System recovery; Vehicles; Back pressure; capacity; traffic signal control;
  • fLanguage
    English
  • Journal_Title
    Control of Network Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2325-5870
  • Type

    jour

  • DOI
    10.1109/TCNS.2014.2378871
  • Filename
    6979216