• DocumentCode
    3136780
  • Title

    A discrete-event traffic simulation model for multilane-multiple intersection

  • Author

    Soh, Azura Che ; Marhaban, M.H. ; Khalid, Muhammad ; Yusof, Rubiyah

  • Author_Institution
    Dept. Electr. & Electron. of Eng., Univ. Putra Malaysia, Serdang, Malaysia
  • fYear
    2013
  • fDate
    23-26 June 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, the model is simplified by proposing a decomposed queuing theory to multilane-multiple intersection. The concept of queuing theory looks promising due to its simplicity and its combination with standard approach techniques. This can expand the model to be more reliable in dealing with problem associated to multilane-multiple intersections. The proposed model is simple, flexible and fit to any real case study with different structure of topology. The traffic model is developed using discrete-event simulation (DES) framework for computation and analysis the model. Simulation results have shown good correlation between the proposed traffic model and data taken from real traffic situations, and have confirmed that the proposed modeling technique based on queuing theory and standard decomposition method can be realized. In addition, simulation results give a confirmation of the model capability to correctly predict traffic performance measures.
  • Keywords
    discrete event simulation; queueing theory; road traffic; topology; DES; discrete-event simulation; discrete-event traffic simulation model; multilane-multiple intersection; queuing theory decomposition; standard decomposition method; topology; traffic model; traffic performance measure prediction; traffic situation; Analytical models; Computational modeling; Mathematical model; Queueing analysis; Routing; Servers; Vehicles; decomposition method; discrete-event; multilane-multipe intersection; queue theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2013 9th Asian
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-5767-8
  • Type

    conf

  • DOI
    10.1109/ASCC.2013.6606228
  • Filename
    6606228