• DocumentCode
    1569243
  • Title

    Estimation of dynamical parameters of road vehicles on freeways

  • Author

    Gáspár, Péter ; Nádai, László

  • Author_Institution
    Inf. Budapest Tech, Budapest
  • fYear
    2007
  • Firstpage
    107
  • Lastpage
    112
  • Abstract
    An identification method is presented for the parameters of a suspension system where nonlinear components are taken into consideration. Since not all the variables necessary for the identification are measured, some numerical techniques need to be applied, such as a numerical integration of measured signals. It is also shown that the selection of the sampling time might be critical in this type of application. By using the result of this identification an algorithm is given for the road disturbance reconstruction. The road roughness estimation is based on this reconstructed signal. In this paper for classification purposes an autoregressive model structure is used.
  • Keywords
    autoregressive processes; integration; road vehicles; signal classification; signal reconstruction; autoregressive model structure; classification purposes; dynamical parameters estimation; numerical integration; reconstructed signal; road disturbance reconstruction; road vehicles; suspension system; Displacement measurement; Informatics; Parameter estimation; Pollution measurement; Road vehicles; Rough surfaces; Signal processing; Surface reconstruction; Surface roughness; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Informatics, 2007. SISY 2007. 5th International Symposium on
  • Conference_Location
    Subotica
  • Print_ISBN
    978-1-4244-1442-0
  • Electronic_ISBN
    978-1-4244-1443-7
  • Type

    conf

  • DOI
    10.1109/SISY.2007.4342634
  • Filename
    4342634