• DocumentCode
    3367674
  • Title

    The bi-level optimal model of ramp type selection of relative interchanges on consideration of regional traffic affection

  • Author

    You, Li ; Jiang, Yangsheng

  • Author_Institution
    Coll. of Traffic & Transp., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    4474
  • Lastpage
    4479
  • Abstract
    Traditionally, the type of ramps of interchange in urban road network was determined singularly. But in fact, there are many factors from the regional road network which can influence the selection decision-making, and on the other hand, the selection result influences the whole regional network operational efficiency not just the single interchange itself. So in this paper, a bi-level optimal model of ramp type selection of relative interchanges is built, on the consideration of ramp traffic capability, ramp features, road network influence factors i.e. the upper model with an aim to minimize the total integrated costs including the relative network resistance, the lower model with an aim to reach an user equilibrium on relative road network traffic flow. At last a genetic algorithm is advised to solve the bi-level model mentioned above.
  • Keywords
    decision making; genetic algorithms; road traffic; bi-level optimal model; genetic algorithm; ramp type selection; regional traffic affection; relative network resistance; road network influence factors; selection decision making; urban road network; Cost function; Decision making; Educational institutions; Genetic algorithms; Road transportation; Telecommunication traffic; Traffic control; bi-level model; genetic algorithm; selection decision-making; type of ramp of interchanges;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536693
  • Filename
    5536693