Ensemble Mode and Singular Value Based Road Texture-Skid Study

Traffic accidents occur frequently every year. Skid-resistance performance is an important indicator in evaluating road safety. In this paper, the road surface texture information is obtained by a line laser scanner. The original two-dimensional (2D) signal is decomposed into eight intrinsic mode fu...

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Main Authors: Tuo Fang, Runhua Guo, Youqiang Si
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Coatings
Subjects:
Online Access:https://www.mdpi.com/2079-6412/11/8/947
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spelling doaj-bfe3eb025d6047e8a3e0e52769c416422021-08-26T13:38:46ZengMDPI AGCoatings2079-64122021-08-011194794710.3390/coatings11080947Ensemble Mode and Singular Value Based Road Texture-Skid StudyTuo Fang0Runhua Guo1Youqiang Si2School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney 2052, AustraliaDepartment of Civil Engineering, Tsinghua University, Beijing 100084, ChinaShandong Hi-Speed Linyi Operation Management Center, Zaozhuang 277000, ChinaTraffic accidents occur frequently every year. Skid-resistance performance is an important indicator in evaluating road safety. In this paper, the road surface texture information is obtained by a line laser scanner. The original two-dimensional (2D) signal is decomposed into eight intrinsic mode functions by complementary ensemble empirical mode decomposition (CEEMD). Eight intrinsic mode functions compose an 800 × 8 data matrix. The matrix is decomposed by singular value decomposition (SVD), and singular value vectors are obtained. The singular values are summed and linearly fitted to the friction value measured by the British pendulum friction meter. The study finds that the singular value sum of one to five has a good linear correlation with the friction value with the goodness of fit greater than 0.8. At the same time, contour arithmetic mean deviation <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi mathvariant="normal">R</mi><mi mathvariant="normal">a</mi></msub></mrow></semantics></math></inline-formula> is applied for verification. The results show that the singular value sum has a strong correlation with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi mathvariant="normal">R</mi><mi mathvariant="normal">a</mi></msub></mrow></semantics></math></inline-formula>. When the number of Intrinsic Mode Function (IMF) decomposition is greater than eight, there is a good correlation between the number of IMF and the friction value from IMF2 to IMF6. When the number of IMF decomposition is less than eight, the singular value sum numbers with R<sup>2</sup> more than 0.8 gradually decrease. It is suggested that the road surface friction performance can be estimated by solving the singular value of the 2D signal. It provides new technical support for the detection and evaluation of anti-skid performance.https://www.mdpi.com/2079-6412/11/8/947pavement textureCEEMD singular value decompositionskid-resistance performance
collection DOAJ
language English
format Article
sources DOAJ
author Tuo Fang
Runhua Guo
Youqiang Si
spellingShingle Tuo Fang
Runhua Guo
Youqiang Si
Ensemble Mode and Singular Value Based Road Texture-Skid Study
Coatings
pavement texture
CEEMD singular value decomposition
skid-resistance performance
author_facet Tuo Fang
Runhua Guo
Youqiang Si
author_sort Tuo Fang
title Ensemble Mode and Singular Value Based Road Texture-Skid Study
title_short Ensemble Mode and Singular Value Based Road Texture-Skid Study
title_full Ensemble Mode and Singular Value Based Road Texture-Skid Study
title_fullStr Ensemble Mode and Singular Value Based Road Texture-Skid Study
title_full_unstemmed Ensemble Mode and Singular Value Based Road Texture-Skid Study
title_sort ensemble mode and singular value based road texture-skid study
publisher MDPI AG
series Coatings
issn 2079-6412
publishDate 2021-08-01
description Traffic accidents occur frequently every year. Skid-resistance performance is an important indicator in evaluating road safety. In this paper, the road surface texture information is obtained by a line laser scanner. The original two-dimensional (2D) signal is decomposed into eight intrinsic mode functions by complementary ensemble empirical mode decomposition (CEEMD). Eight intrinsic mode functions compose an 800 × 8 data matrix. The matrix is decomposed by singular value decomposition (SVD), and singular value vectors are obtained. The singular values are summed and linearly fitted to the friction value measured by the British pendulum friction meter. The study finds that the singular value sum of one to five has a good linear correlation with the friction value with the goodness of fit greater than 0.8. At the same time, contour arithmetic mean deviation <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi mathvariant="normal">R</mi><mi mathvariant="normal">a</mi></msub></mrow></semantics></math></inline-formula> is applied for verification. The results show that the singular value sum has a strong correlation with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi mathvariant="normal">R</mi><mi mathvariant="normal">a</mi></msub></mrow></semantics></math></inline-formula>. When the number of Intrinsic Mode Function (IMF) decomposition is greater than eight, there is a good correlation between the number of IMF and the friction value from IMF2 to IMF6. When the number of IMF decomposition is less than eight, the singular value sum numbers with R<sup>2</sup> more than 0.8 gradually decrease. It is suggested that the road surface friction performance can be estimated by solving the singular value of the 2D signal. It provides new technical support for the detection and evaluation of anti-skid performance.
topic pavement texture
CEEMD singular value decomposition
skid-resistance performance
url https://www.mdpi.com/2079-6412/11/8/947
work_keys_str_mv AT tuofang ensemblemodeandsingularvaluebasedroadtextureskidstudy
AT runhuaguo ensemblemodeandsingularvaluebasedroadtextureskidstudy
AT youqiangsi ensemblemodeandsingularvaluebasedroadtextureskidstudy
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