TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Lifting Wavelet Transform for Distress Identification Using Response Type Profilers

Accession Number:

01518135

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Surface distress degrades not only structural but also functional performance of a pavement. Distressed pavements seriously reduce ride quality and safety of road users and also raise vehicle operating costs. Road agencies frequently use response type profilers to monitor their pavements especially for the roughness deteriorations and then maintain acceptable surface conditions to road users. The goal of this study is to introduce the potential application of response type profilers to the distress identification in the roughness profile measurements. In this study, the authors examine a distress identification method based on the lifting wavelet transform (LWT) rather than conventional signal processing using band-pass filters. LWT performs decomposition and reconstruction of a roughness profile by lifting wavelet filters containing controllable free parameters that enable the initial wavelet filters to learn the target distresses that should be identified. For the purpose of this study, a validation experiment by use of the response type profiler introduced to regular monitoring of expressway in Japan identifies severe distresses due to frost heaving that is a good example of the target. As the experimental result, average 77.9% (error of 22.1%) of the target distress can be correctly identified. This satisfies the acceptable error for longitudinal profile measurements within 30% in Japan. Consequently, the proposed method contributes to the distress survey using response type profilers rather than conventional visual-based methods, measuring surface roughness characteristics.

Supplemental Notes:

This paper was sponsored by TRB committee AFD20 Pavement Monitoring and Evaluation. Alternate title: Lifting Wavelet Transform for Distress Identification Using Response-Type Profilers.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-3520

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Tomiyama, Kazuya
Kawamura, Akira
Ohiro, Tomonori

Pagination:

17p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Geographic Terms:

Japan

Subject Areas:

Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-3520

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:12PM