• DocumentCode
    1903479
  • Title

    Research on Optimization Model of Initial Schedule of Passenger Trains Based on Improved Genetic Algorithm

  • Author

    Ni Shaoquan ; Chen Dingjun ; Lv Miaomiao

  • Author_Institution
    Sch. of Traffic & Transp., Southwest Jiaotong Univ., Chengdu, China
  • Volume
    3
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    273
  • Lastpage
    276
  • Abstract
    Train schedule is the base of train organization as well as the fundamental working plan of transportation department. The running scheme of passenger train whose essence is to determine the initial schedule decides the skeleton of making the passenger train schedule. Present literatures researching train scheme considers the convenience for passenger travel or arrival and departure track dependently. On the basis of analyzing some constraint conditions such as the convenient to the passengers and the coordinate utilization of arrival and departure tracks and parking lines for rolling stock, taking the minimum of passenger carriage as the objective function, this paper establishes an objective programming model for optimizing the initial schedule of passenger trains, and puts forward a method for the model which is basing on improved genetic algorithm. The original time and the end time of passenger trains that satisfy the convenience to the passengers, economical carriage and the coordination between the utilization of arrival and departure tracks and parking lines for rolling stock can be obtained expediently by using this model.
  • Keywords
    genetic algorithms; rail traffic; coordinate utilization; improved genetic algorithm; objective programming model; optimization model; passenger trains schedule; Algorithm design and analysis; Automation; Constraint optimization; Electronic mail; Functional programming; Genetic algorithms; Processor scheduling; Rail transportation; Skeleton; Traffic control; objective programming; passenger train; running scheme; train schedule;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.533
  • Filename
    5287956