• DocumentCode
    2820536
  • Title

    A System Entropy Model for Optimizing the Number of Tollbooths at Highway Toll Plazas

  • Author

    Zhang, Xingyong ; Sun, Chengtong ; Zhuo, Jinwu

  • Author_Institution
    Sch. of Sci., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    This paper presents a system entropy model for optimizing the number of tollbooths at highway toll plazas. Highways usually experience severe traffic congestion/jams at toll plazas since vehicles need to stop and wait for toll collection. It is noted that the number of tollbooths directly influences the traffic congestion. In order to obtain the optimal number of tollbooths, the concept of system entropy is applied to capture the degree of order in a system at macro level. The system entropy is aimed to comprehensively consider various factors related to traffic congestion at toll plaza. A mathematical programming model is formulated to decide the optimal number of tollbooths by minimizing the system entropy. The proposed model has a strong flexibility, which can be used at all kinds of toll plazas. A numerical example is provided to show the practical application of this model.
  • Keywords
    entropy; mathematical programming; minimisation; road traffic; road vehicles; transportation; highway toll plaza; mathematical programming model; system entropy minimization model; toll collection; tollbooth optimization; traffic congestion; traffic jam; transportation network; Capacity planning; Chemical analysis; Chemical technology; Entropy; Mathematical model; Mathematical programming; Road transportation; Road vehicles; Sun; Traffic control; mathematical programming model; number of tollbooths; system entropy model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.59
  • Filename
    5193902