• DocumentCode
    2109779
  • Title

    Estimation approach for average link travel time based on fuzzy C-mean method

  • Author

    Chen Ning

  • Author_Institution
    Zhejiang Univ. of Sci. & Technol., Hang Zhou, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    5394
  • Lastpage
    5398
  • Abstract
    In order to availably utilize taxi GPS data with low frequency and precisely estimate the average link travel time (ALTT), an estimation approach of ALTT and Improved Map-matching algorithm was proposed. After analyzing upstream and downstream intersections of link particularly, more accurate estimates the moment of a vehicle through the intersection. Using the time difference of upstream and downstream intersections as single vehicle link travel time (SLTT). We generate patterns for the high, middle and low speed level by calculating the SLTT using FCM. ALTT calculated by means of a certain weight using the center value of each cluster after confirming of cluster membership of SLTT data. Computation result shows that the relative tolerance is less between the measure value and computation value of ALTT.
  • Keywords
    estimation theory; fuzzy set theory; road vehicles; transportation; average link travel time; cluster membership; estimation approach; fuzzy C-mean method; improved map-matching algorithm; single vehicle link travel time; taxi GPS data; Electronic mail; Estimation; Global Positioning System; Probes; Time frequency analysis; Vehicle dynamics; Vehicles; Average Link Travel Time; Fuzzy C-Mean Method; GPS Data of Vehicles; Map-matching Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573509