• DocumentCode
    523503
  • Title

    Research on Estimation of Dynamic Link Impedance Based on Information Fusion

  • Author

    Gao, Xueying ; Yang, Zhaosheng ; Yang, Wei

  • Author_Institution
    Jilin Univ., Changchun, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    1158
  • Lastpage
    1162
  • Abstract
    Dynamic link impedance is an important base for dynamic traffic assignment problem. Link travel time is the main constituent of link impedance and is often directly used as link impedance. Considering the disadvantages of traditional estimation methods based on floating car, proposed an improved method to improve the accuracy of the estimates. To Sydney Coordinated Adaptive Traffic System, its detection data was rarely applied to estimate link impedance. An estimation method of average link travel time was presented based on SCATS data. The relationship between the estimated average link travel time based on Global Position System, GPS data and the simple size of floating car was analyzed, also. Understand the characteristics of the two estimation results and classified the experimental samples based on this characteristics. Analyzed and discussed two kinds of information on complementary action, and selected appropriate method to fuse the estimation results. Experimental results showed that the presented method was effective, and its results were more reliable after data fusion.
  • Keywords
    Global Positioning System; estimation theory; sensor fusion; traffic engineering computing; Sydney coordinated adaptive traffic system; average link travel time; dynamic link impedance estimation; dynamic traffic assignment problem; global position system; information fusion; Delay; Detectors; Fuses; Geographic Information Systems; Global Positioning System; Impedance; Information analysis; Roads; Transportation; Vehicle dynamics; dynamic link impendance; global position system; information fusion; loop detector; map matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.69
  • Filename
    5522314