• DocumentCode
    3352844
  • Title

    Simulation and optimization of subway tunnel profiles

  • Author

    Ruelland, François ; Al-Haddad, Kamal

  • Author_Institution
    Societe de Transp. de Montreal, Que.
  • Volume
    4
  • fYear
    2006
  • fDate
    9-13 July 2006
  • Firstpage
    2659
  • Lastpage
    2664
  • Abstract
    This paper describes how the longitudinal profile between two railway station platforms can be subjected to an energy minimization process. The preferred minimization method is an evolution by genetic algorithms (GAs). Two processes are first described: the GA process and the profile coding process prerequisite to optimization by GAs. Simulation results are discussed in the remainder of the paper. Those results show that in order to save energy two steps should be followed. First, optimize the profiles for the best running time. Second, reduce the train speed while meeting the required line capacity criteria
  • Keywords
    genetic algorithms; railways; tunnels; GAs; energy minimization process; genetic algorithms; preferred minimization method; profile coding process; railway station platforms; subway tunnel profiles; Biological cells; Capacitive sensors; Computational modeling; Costs; Genetic algorithms; Gravity; Light rail systems; Minimization methods; Power generation economics; Rail transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2006 IEEE International Symposium on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0496-7
  • Electronic_ISBN
    1-4244-0497-5
  • Type

    conf

  • DOI
    10.1109/ISIE.2006.296032
  • Filename
    4078808