• DocumentCode
    1766139
  • Title

    Multiple Concentric Gating Traffic Control in Large-Scale Urban Networks

  • Author

    Keyvan-Ekbatani, Mehdi ; Yildirimoglu, Mehmet ; Geroliminis, Nikolas ; Papageorgiou, Markos

  • Author_Institution
    Dept. of Transp. & Planning, Delft Univ. of Technol., Delft, Netherlands
  • Volume
    16
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    2141
  • Lastpage
    2154
  • Abstract
    A new gating strategy for concentric cities based on the notion of the macroscopic or network fundamental diagram and the feedback-based gating concept is introduced and successfully tested. Different regions of large-scale urban networks may experience congestion at different levels and times during the peak period. In this paper, the zone, including the initial core of congestion, is considered as the first region, which has to be protected from congestion via gating; eventually, as the congestion continues to expand, the border of an extended network part becomes the second perimeter for gating control. Remarkable extensions while distributing the ordered controller flow to the gated traffic signals in case of low demand or occurrence of spillback are also considered. A greater part of the San Francisco urban network is used as test-bed within a microscopic simulation environment. Significant improvements in terms of network-wide mean speed and average delay per kilometer are obtained compared to the single perimeter gating and non-gating simulation scenarios.
  • Keywords
    feedback; road traffic; San Francisco urban network; concentric cities; extended network; gated traffic signals; initial core; large-scale urban networks; microscopic simulation environment; multiple concentric gating traffic control; ordered controller flow; Equations; Junctions; Logic gates; Real-time systems; Regulators; Time measurement; Vehicles; concentric congestion propagation; feedback control; multilayer gating; network macroscopic fundamental diagram; urban traffic signal control;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2015.2399303
  • Filename
    7061487