• DocumentCode
    3301138
  • Title

    Regional and Urban Traffic State Estimation System

  • Author

    Wang, Mingquan ; Yang, Dongyuan ; Zhao, Yali ; Hui, Ying ; Shi, Xiaofa

  • Author_Institution
    Sch. of Transp. Eng., Tongji Univ., Shanghai, China
  • fYear
    2009
  • fDate
    11-12 July 2009
  • Firstpage
    22
  • Lastpage
    25
  • Abstract
    Based on the development of Chinese Intelligent Integrate Transportation System, the paper show the method to Recognize the Regional and Urban Transportation State, which is the most important problem in Intelligent Integrate Transportation System, besides the problem face the planning and Decision-Making process. Then this paper introduces some good examples to do this work and give a major structure for the application, on the expectation of finding a suitable way to develop our urban transportation process based on ITS situation. Afterwards, to show the way to settle the problem of how to tighten the cooperation of the reform and administration, public and private investment apartments. The major findings and lessons from this application are discussed, together with conclusions and Observations regarding further potentials and refinements.
  • Keywords
    decision making; road traffic; state estimation; traffic engineering computing; Chinese Intelligent Integrate Transportation System; ITS; decision-making process; regional traffic state estimation system; urban traffic state estimation system; urban transportation process; Cities and towns; Communication system traffic control; Control systems; Energy consumption; Environmental economics; Intelligent transportation systems; Power generation economics; Road transportation; State estimation; Technology management; Intelligent Transportation System; Regional and Urban Transportation; State Estimation; Traffic network state control.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-0-7695-3729-0
  • Type

    conf

  • DOI
    10.1109/SSME.2009.35
  • Filename
    5233358