• DocumentCode
    2600170
  • Title

    An evolutionary algorithm for network-wide real-time optimization of traffic signal control

  • Author

    Braun, Robert ; Kemper, Carsten

  • Author_Institution
    Dept. of Traffic Eng. & Control, Tech. Univ. Munchen, München, Germany
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    207
  • Lastpage
    214
  • Abstract
    The evolutionary algorithm for network-wide real-time optimization of traffic signal control GALOP is presented. It optimizes the signal timing plans of all traffic lights within a road network. All control parameters - cycle length, offsets, phase sequences and start-times of phase transitions - can be optimized simultaneously. GALOP has been integrated into the adaptive network control system BALANCE, replacing the former hill-climbing algorithm. It was put into operation for the first time in June 2008.
  • Keywords
    evolutionary computation; optimisation; traffic control; traffic information systems; adaptive network control system BALANCE; evolutionary algorithm; hill-climbing algorithm; network-wide real-time optimization; signal timing plan; traffic lights; traffic signal control GALOP; Adaptive systems; Algorithm design and analysis; Detectors; Evolutionary computation; Optimization methods; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated and Sustainable Transportation System (FISTS), 2011 IEEE Forum on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-1-4577-0990-6
  • Electronic_ISBN
    978-1-4577-0991-3
  • Type

    conf

  • DOI
    10.1109/FISTS.2011.5973629
  • Filename
    5973629
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2600170