Traffic density has increased exponentially in recent years, and real-time traffic flow monitoring has become necessary for areas with high-density traffic flow. It is essential to measure the number of vehicles in the road networks in order to optimize the traffic management. However, estimating traffic volume efficiently and accurately is still a challenge. This paper applies a one-dimensional (1D) and a three-dimensional (3D) glass fiber-reinforced polymer packaged fiber Bragg grating (GFRP-FBG) sensor, which is durable with relatively low cost to collect strain signals. These strain signals are produced once vehicles pass through the GFRP-FBG sensors, and the number of vehicles is able to be obtained by counting the strain wavelength collected through Luna’s optical sensing interrogator. With the real-time traffic on the I-94 freeway, this study validated the effectiveness of the 3D GFRP-FBG with the video that is recorded simultaneously.


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    Titel :

    Automatic Vehicle Counting by Using In-Pavement Fiber Bragg Grating Sensor


    Beteiligte:
    Yang, Xinyi (Autor:in) / Ahmad, Salman (Autor:in) / Huang, Ying (Autor:in) / Lu, Pan (Autor:in)

    Kongress:

    International Conference on Transportation and Development 2022 ; 2022 ; Seattle, Washington



    Erscheinungsdatum :

    2022-08-31




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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