• DocumentCode
    2829154
  • Title

    Intelligent dispatch for public traffic vehicles based on improved Genetic Algorithm

  • Author

    Chang-Sheng, Zhu ; Jian-Bo, Liang ; Wen-Yi, Feng ; Xu-Gang, Miao

  • Author_Institution
    Sch. of Comput. & Commun., Lanzhou Univ. of Technol., Lanzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    21-24 May 2010
  • Abstract
    Bus intelligent scheduling problem, the application of existing passenger flow information, and to take into account the passengers and the bus companies´ dual interests, is constructed to the traffic laws of encoding, genetic operators, fitness function and other improved genetic algorithm design. Finally, the simulation results are obtained by using the improved Genetic Algorithm for solving the non-uniform grid schedule. Results show that the improved Genetic Algorithm can find the approximate best result in the huge search space of optimization, while greatly increased the computational efficiency.
  • Keywords
    computational complexity; genetic algorithms; road traffic; scheduling; search problems; transportation; bus intelligent scheduling problem; computational efficiency; genetic algorithm design; intelligent dispatch; nonuniform grid schedule; optimization; passenger flow information; public traffic vehicles; search space; traffic laws; Application software; Computational efficiency; Cost function; Electronic mail; Genetic algorithms; Intelligent vehicles; Optimal scheduling; Processor scheduling; Remuneration; Road transportation; commix genetic algorithm; genetic algorithm; intelligent schedule; travel schedule;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication (ICFCC), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5821-9
  • Type

    conf

  • DOI
    10.1109/ICFCC.2010.5497590
  • Filename
    5497590