• DocumentCode
    2985857
  • Title

    Multi-objective Optimization of Bus Dispatching Based on Improved Genetic Algorithm

  • Author

    Du, Jinling ; Wang, Chunxiao ; Zhang, Feng

  • Author_Institution
    Sch. of Manage. Eng., Shan Dong Jianzhu Univ., Ji´´nan, China
  • fYear
    2011
  • fDate
    3-4 Dec. 2011
  • Firstpage
    106
  • Lastpage
    109
  • Abstract
    Bus trip is a healthy way to travel, and optimal bus dispatching decides social and economic benefits. Based on the analysis for both the existing traffic environment and bus dispatching, a mathematical model is proposed in this paper such that the goal function of this model are the average maximal satisfaction for passengers, the average loading rate of the maximum and the minimal average bus departure frequency of the bus company, respectively. Furthermore, the genetic algorithm is improved further to prevent premature for the algorithm and ensure fast convergence of the algorithm. Finally, case analysis gives a satisfying departure interval for each time period in a day and verifies the effectiveness of the algorithm.
  • Keywords
    genetic algorithms; road traffic; road vehicles; bus dispatching; bus trip; genetic algorithm; maximum average loading rate; minimal average bus departure frequency; multiobjective optimization; passenger average maximal satisfaction; traffic environment; Algorithm design and analysis; Companies; Dispatching; Educational institutions; Genetic algorithms; Mathematical model; Optimization; bus dispatching; bus trip; convergence; departure interval; genetic algorithm; premature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
  • Conference_Location
    Hainan
  • Print_ISBN
    978-1-4577-2008-6
  • Type

    conf

  • DOI
    10.1109/CIS.2011.31
  • Filename
    6128084