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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2013  >  13(3): 15-21
WANG Wei-feng, YAN Xin-ping, XIAO Wang-xin, CHU Xiu-min. Approach of multifractal feature description and recognition for pavement texture[J]. Journal of Traffic and Transportation Engineering, 2013, 13(3): 15-21. doi: 10.19818/j.cnki.1671-1637.2013.03.003
Citation: WANG Wei-feng, YAN Xin-ping, XIAO Wang-xin, CHU Xiu-min. Approach of multifractal feature description and recognition for pavement texture[J]. Journal of Traffic and Transportation Engineering, 2013, 13(3): 15-21. doi: 10.19818/j.cnki.1671-1637.2013.03.003
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Approach of multifractal feature description and recognition for pavement texture

doi: 10.19818/j.cnki.1671-1637.2013.03.003
  • 1.

    Jiangsu Province Communications Planning and Design Institute Company, Nanjing 210005, Jiangsu, China

  • 2.

    Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, Hubei, China

  • 3.

    Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando 32816, Florida, USA

  • 4.

    Research Institute of Highway of Ministry of Transport, Beijing 100088, China

More Information
  • Author Bio:

    WANG Wei-feng(1979-), male, engineer, PhD, +86-25-84202066, wangweifeng100@126.com

  • Received Date: 2012-12-18
  • Publish Date: 2013-06-25
    Abstract
  • Multifractal theory was applied to justify the multi-scale characteristic of pavement texture. The direct computational approach of multifractal spectra was explored, and the effect of weighted factor on multifractal spectra computational result was studied.Four types of asphalt sample pavement texture heights were measured, and eliminating noises were processed by using wavelet transform. The parameters of mulifractal spectra for each sample pavement texture were computed, and a novel approach to describe and characterize pavement texture feature was proposed based on multifractal spectra. Analysis result shows that pavement texture has the features of complexity and self-similarity, and the multifractal spectra of different pavement textures obviously vary.The more complex the pavement texture is, the more fluctuant the heights are, the larger the parameter values of multifractal spectra are, and vice versa.The same types of pavement textures have approximate multifractal shapes and parameters. So multifractal is an effective approach to describe and characterize pavement texture feature.

     

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    • References(19)
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