• DocumentCode
    2118278
  • Title

    Study on Urban Traffic Intelligent Guidance System

  • Author

    Zhang, Kaisheng ; She, Jiao ; Gao, Mingxing ; Ma, Wenbo

  • Author_Institution
    Coll. of Electr. Eng., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
  • Volume
    2
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    Traffic Guidance System is commonly recognized as an effective solution to solve urban transport problems at present and will become a kind of novel traffic management control pattern which can rightly guide travellers to arrive at destination, optimize the traffic stream, avoid traffic jam and manage modern traffic more effectively. From the beginning of introducing the frequently employed measurements to solving urban traffic problem, the design ideal of the intelligent traffic system is illustrated in this paper. The harmonious researches for some kinds of traffic control and guidance are analyzed. The attention of us is focused on the application of computational intelligence to traffic guidance and the design ideal of multi-agent system is emphasized. It is indicated by practice that urban traffic intelligent guidance system can effectively avoid the communication resource waste induced by a kind of traffic management pattern in which the traffic guidance system is separated from the traffic control. It can fully balance system computational resource and realize the information share between traffic control and traffic guidance system.
  • Keywords
    automated highways; multi-agent systems; traffic engineering computing; balance system computational resource; computational intelligence; management control pattern; multi-agent system; traffic management pattern; traffic stream optimization; urban traffic intelligent guidance system; urban traffic problem; urban transport problems; Artificial intelligence; Biological system modeling; Computational modeling; Petroleum; Roads; Traffic control; Intelligent Decision Support; Intelligent Transportation Systems; Multi-agent systems; Traffic Control; Traffic Intelligent Guidance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Management Engineering (ISME), 2010 International Conference of
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-7669-5
  • Electronic_ISBN
    978-1-4244-7670-1
  • Type

    conf

  • DOI
    10.1109/ISME.2010.280
  • Filename
    5573857