• DocumentCode
    3598630
  • Title

    An N-path UE with recourse for traffic assignment

  • Author

    Shuo Wang ; Zheng Xie ; Li Dai

  • Author_Institution
    Coll. of Sci., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2015
  • Firstpage
    3371
  • Lastpage
    3375
  • Abstract
    Traffic assignment plays an essential role in transportation planning because it offers methods to predict the flow allocation on paths and evaluating the performance of traffic network. The conventional user equilibrium(UE) makes sure that no road user will change routing choices unilaterally due to the risk of more loss. In this paper, we consider more complicated but practical scenario which is that not only each road user has a limited choice set N to choose when going through the network, but they can access to information provision when traversing. Under this new condition, we can get a novel equilibrium named N-path user equilibrium with recourse, short for NPUER. A new mathematical formulation is proposed according this new scenario and the equivalence between the result of this formulation and NPUER as well as the existence of the equilibrium are all showed in this paper. In order to solve the formulation, we use techniques of conventional convex programming to deal with this problem and invent an algorithm from Frank-Wolfe algorithm to apply to an example which achieves an interesting but inspiring result that more freedom may bring an unexpected consequence.
  • Keywords
    convex programming; road traffic; transportation; Frank-Wolfe algorithm; N-path UE; N-path user equilibrium; convex programming; flow allocation prediction; information provision; traffic assignment; traffic network performance; transportation planning; Algorithm design and analysis; Cost function; Linear programming; Programming; Roads; Routing; Convex Programming; FW algorithm; Information Provision; Limited Choice Set; Traffic Assignment; User Equilibrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162503
  • Filename
    7162503