• DocumentCode
    154827
  • Title

    Macroscopic vs. mesoscopic traffic flow models in signal setting design

  • Author

    Cantarella, Giulio Erberto ; de Luca, Stefano ; Di Gangi, M. ; Di Pace, Roberta ; Memoli, Silvio

  • Author_Institution
    Dept. of Civil Eng., Univ. of Salerno, Fisciano, Italy
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    2221
  • Lastpage
    2226
  • Abstract
    The simulation of interactions among vehicles approaching signalised junctions, at urban level, is still an open issue. Based on this consideration, this paper aims at comparing the macroscopic and mesoscopic approaches for traffic flow simulation in signalised junctions. In terms of signal setting design, the considered decision variables are the green timings, the scheduling and the offsets thus the three steps optimisation (i.e. each step is referred to the optimisation of each decision variable) has been applied. In particular, the green timings and the scheduling are carried out at single junctions, by multicriteria optimisation, and the offsets are computed by monocriteria optimisation. Finally, the optimisation problems are solved through metaheuristics algorithms.
  • Keywords
    optimisation; road traffic; road vehicles; scheduling; decision variable optimisation; macroscopic traffic flow models; mesoscopic traffic flow models; metaheuristic algorithms; monocriteria optimisation; multicriteria optimisation; scheduling; signal setting design; signalised junctions; traffic flow simulation; vehicle interaction simulation; Computational modeling; Dispersion; Junctions; Mathematical model; Optimization; Timing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6958032
  • Filename
    6958032