TY - GEN
T1 - Evaluation of road roughness based on multi-fractal theory
AU - Quan, Wei
AU - Wang, Hua
AU - Wang, Chaoyi
AU - Hou, Xiangchen
PY - 2013
Y1 - 2013
N2 - The paper investigates a novel evaluation method of road roughness to overcome the shortages of the current used road roughness indices which cannot fine depict the characteristics of the road locally. Multi-fractal theory is employed to systematically research into appraising the road profile, which provides obvious multi-fractal characteristics. But the results of road surface simulation in each grades based on Fourier inverse transformation show there is no unique relation between multi-fractal spectral width and road roughness in different grades. However, in logarithmic distribution diagram, the vertical axis of the road intercept which have the same multi-fractal spectral width was different. Experimental results proved the IRI and multi-fractal spectrum width values are complementary to describe the road roughness. We proposed to signify the road roughness by combining multi-fractal spectral width and the IRI as a supplement of current indices.
AB - The paper investigates a novel evaluation method of road roughness to overcome the shortages of the current used road roughness indices which cannot fine depict the characteristics of the road locally. Multi-fractal theory is employed to systematically research into appraising the road profile, which provides obvious multi-fractal characteristics. But the results of road surface simulation in each grades based on Fourier inverse transformation show there is no unique relation between multi-fractal spectral width and road roughness in different grades. However, in logarithmic distribution diagram, the vertical axis of the road intercept which have the same multi-fractal spectral width was different. Experimental results proved the IRI and multi-fractal spectrum width values are complementary to describe the road roughness. We proposed to signify the road roughness by combining multi-fractal spectral width and the IRI as a supplement of current indices.
UR - https://www.scopus.com/pages/publications/84894335941
U2 - 10.1109/ITSC.2013.6728309
DO - 10.1109/ITSC.2013.6728309
M3 - 会议稿件
AN - SCOPUS:84894335941
SN - 9781479929146
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 675
EP - 680
BT - 2013 16th International IEEE Conference on Intelligent Transportation Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013
Y2 - 6 October 2013 through 9 October 2013
ER -