• DocumentCode
    2902428
  • Title

    Multi-scale driving behavior modeling using hierarchical PWARX model

  • Author

    Terada, Ryota ; Okuda, Hiroyuki ; Suzuki, Tatsuya ; Isaji, Kazuyoshi ; Tsuru, Naohiko

  • Author_Institution
    Dept. of Mech. Sci. & Eng., Nagoya Univ., Nagoya, Japan
  • fYear
    2010
  • fDate
    19-22 Sept. 2010
  • Firstpage
    1638
  • Lastpage
    1644
  • Abstract
    This paper presents a hierarchical modeling strategy of the driving behavior based on the multiple levels of abstraction of the underlying dynamics. In order to realize this idea, a new mathematical model, Hierarchical PieceWise ARX model (Hi-PWARX model) is proposed. The identification scheme for the Hi-PWARX model is developed by synthesizing the ideas of a feature vector definition revealing the dynamical characteristics and an unsupervised clustering technique. By applying the Hi-PWARX model to the observed driving data, a consistent hierarchical behavior model is obtained without any prior knowledge. The usefulness of the proposed modeling is demonstrated by the analysis of the driving behavior on the express way.
  • Keywords
    autoregressive processes; behavioural sciences; pattern clustering; expressway; feature vector definition; hierarchical piecewise autoregressive exogenius model; multiscale driving behavior modeling; unsupervised clustering technique; Covariance matrix; Data models; Decision making; Driver circuits; Humans; Indexes; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on
  • Conference_Location
    Funchal
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4244-7657-2
  • Type

    conf

  • DOI
    10.1109/ITSC.2010.5625154
  • Filename
    5625154