• DocumentCode
    619949
  • Title

    Vibration signal analysis of vehicle in highway based on AR model

  • Author

    Hong-Feng Wei ; Yan-Tao Liu ; Xiao-Heng Chang

  • Author_Institution
    Coll. of Eng., Bohai Univ., Jinzhou, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    1568
  • Lastpage
    1570
  • Abstract
    The AR model method was applied in this paper to analyze the information extraction of vehicle vibration signals in highway traffic flow. Based on the sample data and appropriate AR model method, the feature vectors were used to distinguish different vehicle models. The proposed feature method in vehicle signal recognition technology can achieve the requirement of auxiliary determination. It demonstrated that the feasibility of model identification and feature extraction using the highway vehicle vibration signal. The result showed that the AR model is an effective method in vehicle type classification.
  • Keywords
    feature extraction; road vehicles; roads; signal processing; traffic engineering computing; AR model; feature extraction; feature vectors; highway traffic flow; information extraction; model identification; vehicle signal recognition; vehicle type classification; vibration signal analysis; Analytical models; Data models; Educational institutions; Mathematical model; Road transportation; Vehicles; Vibrations; AR model; Feature vector; vehicle vibration signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561178
  • Filename
    6561178