• DocumentCode
    1614318
  • Title

    Vibration Signal Analysis of Vehicle in Highway Based on AR Model

  • Author

    Wei, Hong-feng

  • Author_Institution
    Coll. of Eng., Bohai Univ., Jinzhou, China
  • fYear
    2012
  • Firstpage
    1124
  • Lastpage
    1126
  • Abstract
    The AR model method was proposed in the analysis of information extraction of vehicle sound signals in highway traffic flow. Based on the appropriate selection of AR model order and sample data, the feature vectors were used to distinguish different vehicle models. Through parameter model theory, we proposed feature method in vehicle signal recognition technology to achieve the requirement of auxiliary determination. This paper has demonstrated that the feasibility of model identification and feature extraction using the highway vehicle audio signal. The result showed that AR model is an effective way in vehicle type classification.
  • Keywords
    acoustic signal processing; autoregressive processes; feature extraction; information retrieval; road vehicles; signal classification; traffic information systems; vibrations; AR model order; feature extraction; feature vectors; highway intelligent management; highway traffic flow; highway vehicle audio signal; information extraction analysis; model identification; parameter model theory; sample data; traffic information collection system; vehicle acoustic signal generation; vehicle signal recognition technology; vehicle type classification; vehicle vibration signal analysis; Analytical models; Data models; Educational institutions; Feature extraction; Mathematical model; Road transportation; Vehicles; AR model; feature vector; vehicle sound signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.298
  • Filename
    6322587