• DocumentCode
    2045014
  • Title

    Study on Expressway Control Method Based on FNN

  • Author

    Zhu, Yin

  • Author_Institution
    Traffic Manage. Eng. Dept., Chinese People´´s Public Security Univ., Beijing
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the advanced fuzzy neural network is brought into the expressway ramp control by integrating the technology of fuzzy system and neutral network, which simplifies the control process and could make it a real-time control accurately. This approach considers both the traffic density and the entrance queue length together and aims at controlling both of them simultaneously. The study shows that fuzzy-neural network controllers in the expressway ramp control can help avoiding expressway congestion greatly, reducing uneven traffic density or make mainline traffic condition stable.
  • Keywords
    fuzzy control; neurocontrollers; traffic control; entrance queue length; expressway congestion control; expressway ramp control; fuzzy neural network control; traffic density; Communication system traffic control; Control systems; Detectors; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Process control; Real time systems; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5073136
  • Filename
    5073136