• DocumentCode
    1956892
  • Title

    Self-Healing Networks - Gridlock Prevention with Capacity Regulating Traffic Lights

  • Author

    Lammer, S. ; Treiber, Martin

  • Author_Institution
    Fac. of Transp. & Traffic Sci. Friedrich List, Dresden Univ. of Technol., Dresden, Germany
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    61
  • Lastpage
    65
  • Abstract
    The capacity of a road network is predetermined by the green times at its intersections. As these are typically designed for expected traffic demands, spontaneous demand peaks or lane blockings will likely lead to congestion spreading over larger parts of the network. We show that gridlock effects can be prevented by a capacity regulating traffic light control designed to avoid critical spill-backs and to distribute traffic among remaining road capacities. The idea is that traffic lights do not serve more vehicles than subsequent roads can accommodate. The regulation of inflow in over-saturated road segments with shorter green times implies that remaining turning directions can be served with longer green times. In consequence, defective parts of the network are relieved from some traffic, whereas remaining capacities on surrounding roads are made available by promoting alternative routes. In this way, a redistribution of traffic on bypass routes goes hand in hand with an instantaneous reallocation of green times.
  • Keywords
    road traffic control; bypass routes; capacity regulating traffic light control; congestion spreading; critical spill-backs avoidance; expected traffic demands; gridlock effects; gridlock prevention; inflow regulation; instantaneous green times reallocation; lane blockings; over-saturated road segments; road network; self-healing networks; spontaneous demand peaks; traffic redistribution; control; gridlock; network; traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems Workshops (SASOW), 2012 IEEE Sixth International Conference on
  • Conference_Location
    Lyon
  • Print_ISBN
    978-1-4673-5153-9
  • Type

    conf

  • DOI
    10.1109/SASOW.2012.19
  • Filename
    6498380