• DocumentCode
    388796
  • Title

    Public transportation systems: modeling and analysis based on a new Petri net approach

  • Author

    Abbas-Turki, A. ; Grunder, O. ; Elmoudni, A.

  • Author_Institution
    Lab. du Syst. et Transp., UTBM, Belfort, France
  • Volume
    4
  • fYear
    2002
  • fDate
    6-9 Oct. 2002
  • Abstract
    Several efforts have been centered on the improving of the quality of service of public transportation in order to face the increasing demand. Consequently, in the latest decade, a growing body of advances concerning several aspects of the public transportation planning process has appeared in the operations research literature. Some classes of Petri net (PN) are used for the graphical description, the analysis of flows and the control in the studied systems. Due to the characteristics of the public transportation systems, PN models of such systems are very complex. To overcome this inconvenience, we introduce a new class of PN. This allows the modeling and the analysis of complex public transportation systems. This particular class of PN is described and defined and we show that it has interesting properties. We illustrate the interest of such a tool with a line planning problem for which several line architectures are possible and one has to choose the best one.
  • Keywords
    Markov processes; Petri nets; planning; resource allocation; transportation; travel industry; Markov chain; Petri net; line planning problem; operations research; public transportation systems modeling; quality of service; resource allocation; Control systems; Mathematical model; Operations research; Petri nets; Pollution; Power system modeling; Power system planning; Process planning; Quality of service; Road transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2002 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7437-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2002.1173267
  • Filename
    1173267