|Table of Contents|

Approach of multifractal feature description and recognition for pavement texture(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2013年03期
Page:
15-21
Research Field:
道路与铁道工程
Publishing date:

Info

Title:
Approach of multifractal feature description and recognition for pavement texture
Author(s):
WANG Wei-feng1; 2; 3;  YAN Xin-ping2;  XIAO Wang-xin4;  CHU Xiu-min2
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
Keywords:
pavement engineering;  pavement texture;  wavelet transform;  multi-scale analysis;  feature recognition;  multifractal feature
PACS:
U416.217
DOI:
-
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. 1 tab, 9 figs, 19 refs.

References:

[1] ASI I M. Evaluation skid resistance of different asphalt concrete mixes[J]. Building and Environment, 2007, 42(1): 325-329.
[2] MAYORA J M P, PINA R J. An assessment of the skid resistance effect on traffic safety under wet-pavement conditions[J]. Accident Analysis and Prevention, 2009, 41(4): 881-886.
[3] ASTM E274/E274M-11, standard test method for skid resistance of paved surface using full-scale tire[S].
[4] ISO 13473-1: 1997, characterization of pavement texture by use of surface profiles—part I: determination of mean profile depth[S].
[5] ERGUN M, LYINAM S, LYINAM A F. Prediction of road surface friction coefficient using only macro and microtexture measurements[J]. Journal of Transportation Engineering, 2005, 131(4): 311-319.
[6] 初秀民,李 永,严新平,等.基于微观形貌特征的沥青路面抗滑性能评价研究进展[J].交通与计算机,2007,25(1):61-65. CHU Xiu-min, LI Yong, YAN Xin-ping, et al. Development of skid resistance evaluation based on asphalt pavement micro-texture[J]. Computer and Communications, 2007, 25(1): 61-65.(in Chinese)
[7] KOKKALIS A G, TSOHOS G H, PANAGOULI O K. Consideration of fractals potential in pavement skid resistance evaluation[J]. Journal of Transportation Engineering, 2002, 128(6): 591-595.
[8] KOKKALIS A G, PANAGOULI O K. Fractal evaluation of pavement skid resistance variations. Ⅰ: surface wetting[J]. Chaos, Solitons and Fractals, 1998, 9(11): 1875-1890.
[9] KOKKALIS A G, PANAGOULI O K. Fractal evaluation of pavement skid resistance variations. Ⅱ: surface wear[J]. Chaos, Solitons and Fractals, 1998, 9(11): 1891-1899.
[10] PANAGOULI O K, KOKKALIS A G. Skid resistance and fractal structure of pavement surface[J]. Chaos, Solitons and Fractals, 1998, 9(3): 493-505.
[11] VALLEJO L E. Fractal assessment of the surface texture of pavements[J]. International Journal of Pavement Engineering, 2001, 2(2): 149-156.
[12] LOEHLE C, LI B L. Statistical properties of ecologic and geologic fractals[J]. Ecological Modelling, 1996, 85(2/3): 271-284.
[13] VOSS R F. Random fractals: characterization and measurement[R]. New York: Plenum, 1985.
[14] MANDELBROT B B. How long is the coast of Britain? statistical self-similarity and fractional dimension[J]. Science, 1967, 156(3775): 636-638.
[15] STANLEY H E, MEAKIN P. Multifractal phenomena in physics and chemistry[J]. Nature, 1988, 335: 405-409.
[16] CHHABRA A B, MENEVEAU C, JENSEN R V, et al. Direct determination of the f(α)singularity spectrum and its application to fully developed turbulence[J]. Physical Review A, 1989, 40(9): 5284-5294.
[17] POSADAS A N D, GIMENEZ D, QUIROZ R, et al. Multifractal characterization of soil pore systems[J]. Soil Science Society of America Journal, 2003, 67(5): 1361-1369.
[18] WANG Wei-feng, YAN Xin-ping, HUANG He-lai, et al. Design and verification of a laser based device for pavement macrotexture measuerment[J]. Transportation Research Part C: Emerging Technologies, 2011, 19(4): 682-694.
[19] 孙 霞,傅竹西,吴自勤.薄膜生长的多重分形谱的计算[J].计算物理,2001,18(3):247-252. SUN Xia, FU Zhu-xi, WU Zi-qin. Multifractal calculation of thin film growth[J]. Chinese Journal of Computational Physics, 2001, 18(3): 247-252.(in Chinese)

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Last Update: 2013-07-30