• DocumentCode
    2002547
  • Title

    Short-Term Traffic Flow Prediction Methods and the Correlation Analysis of Vehicle Speed and Traffic Flow

  • Author

    Liu, Changhong ; Liu, Xintian ; Huang, Hu ; Zhao, Lihui

  • Author_Institution
    Coll. of Automobile Eng., Shanghai Univ. of Eng. Sci., Shanghai, China
  • Volume
    2
  • fYear
    2008
  • fDate
    13-17 Dec. 2008
  • Firstpage
    415
  • Lastpage
    418
  • Abstract
    A technique based adaptive neuro-fuzzy inference system (ANFIS) has been applied into short-term traffic flow prediction. Considering random factors, a new forecast model is presented based on the dynamic traffic flow data. Firstly the actual observations were operated in traffic flow and vehicle speed on Yanan east road tunnel, then the correlation analyses were calculated for traffic flow and vehicle speed in different driveways. The results shown, the correlation of traffic flow and vehicle speed was unconspicuous, but the traffic flows of the same direction in different driveways were correlated significantly. Finally according to the statistic results, some suggestions were presented.
  • Keywords
    fuzzy neural nets; fuzzy reasoning; road traffic; statistical analysis; traffic engineering computing; tunnels; Yanan east road tunnel; adaptive neuro-fuzzy inference system; correlation analysis; short-term traffic flow prediction method; traffic flow; vehicle speed; Adaptive systems; Automotive engineering; Communication system traffic control; Fuzzy sets; Prediction methods; Predictive models; Road vehicles; Traffic control; Vehicle driving; Vehicle dynamics; Correlation; forecast model; fuzzy; traffic flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2008. CIS '08. International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-0-7695-3508-1
  • Type

    conf

  • DOI
    10.1109/CIS.2008.201
  • Filename
    4724809