Title

Approach Of Multifractal Feature Description And Recognition For Pavement Texture

Keywords

Feature recognition; Multi-scale analysis; Multifractal feature; Pavement engineering; Pavement texture; Wavelet transform

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.

Publication Date

6-1-2013

Publication Title

Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering

Volume

13

Issue

3

Number of Pages

15-21

Document Type

Article

Personal Identifier

scopus

Socpus ID

84880974988 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84880974988

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