• DocumentCode
    670448
  • Title

    A bi-level metaheuristic approach to designing Optimal Bus Transit Route Network

  • Author

    Wei Fan ; Gurmu, Zegeye ; Haile, Elias

  • Author_Institution
    Dept. of Civil Eng., Univ. of Texas at Tyler, Tyler, TX, USA
  • fYear
    2013
  • fDate
    26-29 May 2013
  • Firstpage
    308
  • Lastpage
    313
  • Abstract
    The purpose of this paper is to develop a bi-level metaheuristic approach to solving the Optimal Bus Transit Route Network Design Problem (OBTRNDP). A mix integer linear programming model is first formulated for the OBTRNDP. An innovative bi-level metaheuristic solution approach is then presented, in which the upper level finds the feasible network patterns (including the transit network routes and associated service frequencies), the lower level then evaluates such network solutions and provides feedback, and a genetic algorithm based metaheuristic approach is used to optimize the transit route network. Network experiments are conducted. Numerical results and related characteristics are described in detail. Future research directions are also given.
  • Keywords
    genetic algorithms; integer programming; linear programming; transportation; OBTRNDP; bilevel metaheuristic approach; genetic algorithm; innovative bilevel metaheuristic solution; mix integer linear programming model; optimal bus transit route network design problem; Algorithm design and analysis; Genetic algorithms; Linear programming; Numerical models; Optimization; Time-frequency analysis; Vehicles; Bi-level; Bus Transit Route Network; Genetic Algorithm; Metaheuristic; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control and Intelligent Systems (CYBER), 2013 IEEE 3rd Annual International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4799-0610-9
  • Type

    conf

  • DOI
    10.1109/CYBER.2013.6705464
  • Filename
    6705464