The Department of Transportation classifies a vehicle depending on the number of axles and the space between them (wheelbase). Vehicle classification accuracy depends on the accuracy in estimating the speed and the wheelbase. In this study, a three-dimension Glass Fiber-Reinforced Polymer packaged Fiber Bragg Grating sensor (3D GFRP-FBG) is introduced for vehicle speed and wheelbase estimation. The experimental results show the ability of the sensor to estimate the speed and the wheelbase of a reference vehicle, with an accuracy of 95% or higher.


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    Titel :

    In-pavement fiber Bragg grating sensor for vehicle speed and wheelbase estimation


    Beteiligte:
    Al-Tarawneh, Mu'ath (Autor:in) / Huang, Ying (Autor:in)

    Kongress:

    Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018 ; 2018 ; Denver,Colorado,United States


    Erschienen in:

    Proc. SPIE ; 10598


    Erscheinungsdatum :

    27.03.2018





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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