• DocumentCode
    518649
  • Title

    Automatic traffic congestion identification method of expressway based on gain amplifier theory

  • Author

    Guiyan Jiang ; Shifeng Niu ; Chang, Andrea ; Zhiqiang Meng ; Chunqin Zhang

  • Author_Institution
    State Key Lab. of Automotive Dynamic Simulation, Jilin Univ., Changchun, China
  • Volume
    2
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    648
  • Lastpage
    651
  • Abstract
    This paper proposes a method for application in automatic traffic congestion identification method (ACI) using gain amplifier theory. The road segment dividing method is given in this paper, and the ACI method of road lean, road cross-section and natural road segment are proposed to identify the traffic state of expressway. The performance of ACI method is evaluated using real and simulation data. The experimental results indicate that the proposed ACI method of lean produced satisfactory DR with deemed acceptable FAR using traffic data of three time scales. The ACI method of natural road segment is suit for estimating the traffic state of natural road segment.
  • Keywords
    road traffic; traffic information systems; ACI method; automatic traffic congestion identification; expressway traffic state; gain amplifier theory; natural road segment; road cross-section; road lean; road segment dividing method; road traffic; traffic state estimation; Automotive engineering; Detectors; Educational institutions; Laboratories; Management information systems; Road transportation; State estimation; Telecommunication traffic; Traffic control; Vehicle dynamics; ACI; gain amplifier theory; natural road segment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5486725
  • Filename
    5486725