• DocumentCode
    2900323
  • Title

    An evolutionary multi-objective approach for speed tuning optimization with energy saving in railway management

  • Author

    Chevrier, Rémy

  • Author_Institution
    INRETS ESTAS, Univ. Lille Nord de France, Villeneuve-d´´Ascq, France
  • fYear
    2010
  • fDate
    19-22 Sept. 2010
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    An approach for speed tuning in railway management is presented for optimizing both travel duration and energy saving. This approach is based on a state-of-the-art evolutionary algorithm with Pareto approach. This algorithm provides a set of diversified non-dominated solutions to the decision-maker. A case study on Gonesse junction (France) is also reported and analyzed.
  • Keywords
    Pareto optimisation; decision making; evolutionary computation; railway engineering; Gonesse junction; Pareto approach; decision-maker; energy saving; evolutionary multiobjective approach; railway management; speed tuning optimization; state-of-the-art evolutionary algorithm; travel duration; Acceleration; Energy consumption; Evolutionary computation; Optimization; Rail transportation; Resistance; Tuning; Energy saving; Evolutionary algorithm; Multi-objective; Optimization; Railway management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on
  • Conference_Location
    Funchal
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4244-7657-2
  • Type

    conf

  • DOI
    10.1109/ITSC.2010.5625026
  • Filename
    5625026