• DocumentCode
    1891662
  • Title

    Evaluation of Earliest Deadline based schedulers for reduction of traffic congestion in dense urban areas

  • Author

    Ahmed, Arif ; Arshad, Rabia ; Mahmud, Sahibzada Ali ; Khan, Gul Muhammad ; Al-Raweshidy, H.S.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Eng. & Technol., Peshawar, Pakistan
  • fYear
    2013
  • fDate
    2-6 Dec. 2013
  • Firstpage
    404
  • Lastpage
    409
  • Abstract
    The unwanted delay experienced by priority vehicles as a consequence of traffic congestion is one of the major problems faced while efficiently managing priority traffic. Two adaptive traffic light algorithms namely the Earliest Deadline First (EDF) and Fixed Priority (FP) have been proposed and evaluated in the paper to reduce the traffic congestion experienced by priority vehicles. The performance of the algorithms has been evaluated at isolated intersections and their resulting efficiency has been compared against a static traffic lights control implementation as well. It has been shown and deduced through different performance metrics that the overall performance of EDF is better than the FP in controlling traffic congestion for priority vehicles when evaluated against static control.
  • Keywords
    intelligent transportation systems; road traffic control; traffic engineering computing; EDF algorithms; FP algorithms; adaptive traffic light algorithms; dense urban areas; earliest deadline based schedulers; earliest deadline first algorithms; fixed priority algorithms; priority vehicles; static traffic lights control implementation; traffic congestion reduction; Adaptation models; Algorithm design and analysis; Equations; Mathematical model; Vehicle dynamics; Vehicles; Adaptive Traffic Light Control; Earliest deadline First (EDF); Fixed Priority (FP); Intelligent Transportation System (ITS); Sumo (simulation of urban mobility);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Connected Vehicles and Expo (ICCVE), 2013 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/ICCVE.2013.6799827
  • Filename
    6799827