• DocumentCode
    2946934
  • Title

    Research on Model and Its Solving Algorithm for Transit Scheduling Problem

  • Author

    Dong Yongfeng ; Li Nana ; Dong ZhengChao ; Gu Junhua ; Li Weini

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    836
  • Lastpage
    839
  • Abstract
    This paper described the way of generating a reasonable bus scheduling, so that getting the lowest operating costs, the shortest waiting time for average passenger and the smallest vehicle demand in some bus lines of regional area. To achieve information resource and transport ability sharing, the transit regional scheduling optimization model is set up, and solved by hybrid simulated annealing/genetic algorithm for the different intervals and the different number in the region line of the departure times of the day. The experiment results showed that the model and the algorithm are feasibility and effective.
  • Keywords
    genetic algorithms; scheduling; simulated annealing; transportation; vehicles; bus lines; bus scheduling; genetic algorithm; hybrid simulated annealing; information resource; smallest vehicle demand; solving algorithm; transit regional scheduling optimization model; transit scheduling problem; transport ability sharing; Area measurement; Costs; Genetic algorithms; Mechatronics; Optimization methods; Paper technology; Processor scheduling; Scheduling algorithm; Simulated annealing; Time measurement; genetic algorithm; optimization model; simulated annealing algorithm; transit scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.303
  • Filename
    5203331