• DocumentCode
    2395597
  • Title

    One effective design of intelligent hybrid traffic detection equipment

  • Author

    Jiang, Sheng ; Hu, Hong-yu

  • Author_Institution
    Coll. of Transp., Jilin Univ., Changchun, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    2046
  • Lastpage
    2049
  • Abstract
    According to the main characteristic of Chinese urban traffic, which is hybrid traffic, use the video image processing method to obtain hybrid traffic parameters on basis of self-adaptive edge contour balance correction algorithm at first. Secondly, combined with the technology of embedded equipment, DSP chip is selected to establish the hardware system. Then, mixed traffic video detection software is built on the computer in order to cooperate with hardware system. Finally, after the algorithm transplantation, the complete intelligent hybrid traffic equipment is formed to obtain parameters and the event information of hybrid traffic. Through experiment, the accuracy and stability of the system is verified for the urban traffic management and control.
  • Keywords
    digital signal processing chips; edge detection; embedded systems; object detection; road traffic; traffic engineering computing; video signal processing; Chinese urban traffic; DSP chip; embedded equipment; hardware system; hybrid traffic parameter; intelligent hybrid traffic detection equipment; mixed traffic video detection software; self-adaptive edge contour balance correction algorithm; urban traffic control; urban traffic management; video image processing; Artificial intelligence; Detection algorithms; Hardware; Image edge detection; Software; Streaming media; Vehicles; embedded system; hybrid traffic; intelligent equipment; video detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223454
  • Filename
    6223454