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Title:

Improving the Quality of Profile Measurements by Lifting Wavelet Filters

Accession Number:

01475142

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Profile measurement activities called "profiling" require algorithms to eliminate unwanted noise and to extract the information of interest from measured data for the calculation of International Roughness Index (IRI) as well as any roughness index. Pavement cracks particularly cause problems in the calculation. Although a low-pass "smoothing" filter will reduce a large dip caused by a crack included in a profile, conventional filtering algorithms do not completely remove the influence of cracks. This study develops a new smoothing algorithm using the lifting scheme theory to improve the quality of profile measurements. The procedures for developing the algorithm include (1) learning free parameters by using training signals, and then (2) constructing lifting wavelet filters. The filters are especially intended to remove the influence of cracks in profile measurement data. This paper also provides a profile-smoothing simulation study to demonstrate the advantages of the lifting wavelet filters over conventional digital filters such as the moving average and Butterworth filters. The results indicate that the lifting wavelet filters are superior in eliminating the influence of cracks for roughness evaluation to the conventional filtering algorithms. Finally, we conclude that the lifting wavelet filters allow profile users to improve the quality of profile measurements for the roughness evaluation such as IRI calculation. The findings of this study contribute to many applications related to pavement management such as surface monitoring, development of measurement devices, and interaction analysis between surface properties and vehicles.

Supplemental Notes:

This paper was sponsored by TRB committee AFD20 Pavement Monitoring and Evaluation.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-3405

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Tomiyama, Kazuya
Kawamura, Akira
Ishida, Tateki

Pagination:

17p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Pavements; I22: Design of Pavements, Railways and Guideways

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-3405

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:41PM