• DocumentCode
    683710
  • Title

    Improved Genetic Algorithm for the Regional Multi-line Bus Dispatching

  • Author

    Jinling Du ; Linzhi Cao

  • Author_Institution
    Sch. of Manage. Eng., Shan Dong Jianzhu Univ., Jinan, China
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    841
  • Lastpage
    845
  • 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 of the regional multi-line bus dispatching within 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
    dispatching; genetic algorithms; road traffic; road vehicles; scheduling; average loading rate; bus departure frequency; bus trip; economic benefit; genetic algorithm; optimal bus dispatching; regional multiline bus dispatching; social benefit; traffic environment; Algorithm design and analysis; Companies; Dispatching; Genetic algorithms; Mathematical model; Optimization; Vehicles; bus dispatching; bus trip; convergence; departure interval; genetic algorithm; premature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2013 9th International Conference on
  • Conference_Location
    Leshan
  • Print_ISBN
    978-1-4799-2548-3
  • Type

    conf

  • DOI
    10.1109/CIS.2013.183
  • Filename
    6746551