• DocumentCode
    2586262
  • Title

    The determination and analysis of traffic congestion evacuation priority

  • Author

    Tan, Guozhen ; Liu, Zhipeng ; Wang, Yaodong

  • Author_Institution
    Sch. of Comput. Sci.&Tech., DaLian Univ. of Technol., Dalian, China
  • Volume
    2
  • fYear
    2010
  • fDate
    28-31 Aug. 2010
  • Firstpage
    484
  • Lastpage
    487
  • Abstract
    A scientific and effective traffic congestion evacuation plan plays an important part in improving the event reaction ability of the urban traffic system, as well as, saving travel time, reducing energy losses, and pollution. A new approach for real-time traffic congestion evacuation based on priority determination is proposed in this paper. Distinct from the well-studied traffic congestion degree, the congested flow is considered with factors on other traffic, evolution trend, comprehensive and accurate determination of congestion on the basis of various measurements of congested determination. The priority determination of traffic congestion evacuation aims at both congested flow control and evacuation priority for traffic control systems, guidance systems and traffic commander. Thus traffic manager or police can get support to solve the most urgent traffic congestion for rapid evacuation in a very short time. The proposed approach uses resource-waited relation and BP neural network to determine the evacuation priority via congestion index and factors. Finally, a numerical example is given to illustrate that the proposed model and algorithm can be effectively carried out under determining congested evacuation level.
  • Keywords
    automated highways; backpropagation; navigation; neural nets; road vehicles; traffic control; traffic engineering computing; BP neural network; event reaction ability; guidance system; resource waited relation; traffic commander; traffic congestion evacuation priority; traffic control system; urban traffic system; Detectors; BP neural network; evacuation priority; resource-waited relation; traffic congestion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8514-7
  • Type

    conf

  • DOI
    10.1109/IITA-GRS.2010.5603003
  • Filename
    5603003