• DocumentCode
    2972592
  • Title

    Game Theory Choice Model for Public Transportation Priority Take Nanjing for Example

  • Author

    Wang, Chen ; Chen, Jun

  • fYear
    2008
  • fDate
    2-3 Aug. 2008
  • Firstpage
    423
  • Lastpage
    429
  • Abstract
    Public transportation priority is the most effective way to improve the efficiency of the public transportation which is the most important part of the urban transportation. For the choice of the public transportation priority, the methods usually used now in China are not very imprecise for consideration of the indices´ weights. The paper introduces game theory and sets up the choice model for the public transportation priority by identifying the function of payoff and the aggregate of participants and stratagems. Then it analyses the existence of NASH equilibrium and puts forward the arithmetic of iterated elimination of strictly dominated strategies in the general condition and the mixed strategies in the special condition. At last, it verifies the feasibility of the model with the example in Nanjing.
  • Keywords
    game theory; transportation; NASH equilibrium; game theory choice model; iterated elimination; public transportation priority; strictly dominated strategies; urban transportation; Aggregates; Arithmetic; Economics; Game theory; Intelligent transportation systems; Nash equilibrium; Power electronics; Power system modeling; Road transportation; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Intelligent Transportation System, 2008. PEITS '08. Workshop on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3342-1
  • Type

    conf

  • DOI
    10.1109/PEITS.2008.18
  • Filename
    4634889