Insufficient skid-resistance of a pavement is a critical cause of traffic accidents. Pavement texture plays an important role in the skid performance. In this paper, the texture information was collected by a 3D laser scanner/device. The 3D texture features were restored by Gaussian filtering and 3D reconstruction. The texture signals were decomposed by Complementary Ensemble Empirical Mode Decomposition (CEEMD) algorithm. The correlation between Intrinsic Mode Function (IMF) and the original signal was analyzed. Hilbert transform on the most relevant IMF was performed to obtain the instantaneous frequency and instantaneous amplitude. The maximum correlation Hilbert transform index (Rcm) was proposed to characterize the coefficient of friction. In addition, the friction index was obtained on the same specimens. The linear fit R-square of Rcm and friction index is above 0.9. It is suggested that the finding of his study can accommodate friction management based on pavement texture collected by the 3D laser scanning system.


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    Title :

    Hilbert-Huang Transform in Pavement Texture and Skid-Resistance Study


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wuhong (editor) / Wu, Jianping (editor) / Jiang, Xiaobei (editor) / Li, Ruimin (editor) / Zhang, Haodong (editor) / Dong, Yuan-shuai (author) / Hou, Yun (author) / Tian, Jia-lei (author) / Cao, Yu-xuan (author) / Guo, Chen-wei (author)

    Conference:

    International Conference on Green Intelligent Transportation System and Safety ; 2021 November 19, 2021 - November 21, 2021



    Publication date :

    2022-10-28


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English