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Title:

Automated Groove Identification and Measurement for Next Generation Concrete Surface (NGCS) Using 3D Pavement Data at 1 mm Resolution

Accession Number:

01518449

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Pavement safety has been a principal concern of transportation agencies, while tire-pavement noise has also gained increasing attentions in recent years. To suppress the impacts of tire-pavement noise on road users, an innovative hybrid texture technique for concrete surface that resembles a combination of diamond grinding and longitudinal grooving, Next Generation Concrete Surface (NGCS), is developed for quieter traveling and improved safety. Since the grooved texture may deteriorate over time, the measurement of groove dimensions becomes an indispensable tool for NGCS's long term performance evaluation. Traditional point laser based profiling system is used to measure pavement transverse grooves. However this technique is incapable of evaluating longitudinal grooves that are used in NGCS. This paper proposes an automated groove identification and measurement methodology for NGCS using 1mm resolution 3D pavement surface data collected from the recently developed PaveVision3D Ultra System. A template matched groove identification algorithm is proposed to detect and identify the longitudinal grooves for NGCS. Subsequently, the groove dimensions are estimated based on an established procedure. Comparing the constructed NGCS groove dimensions with the estimated dimensions derived from this research, it is demonstrated that the proposed algorithm is robust in detecting longitudinal NGCS grooves and estimating their dimensions. Further research is anticipated to investigate the groove dimensions on NGCS's noise level and safety performance over time.

Supplemental Notes:

This paper was sponsored by TRB committee AFN00 Concrete Materials. Alternate title: Automated Groove Identification and Measurement for Next-Generation Concrete Surface Using Three-Dimensional Pavement Data at 1-mm Resolution.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-4441

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Wang, Kelvin C P
Li, Lin
Li, Qiang (Joshua)
Scofield, Larry A
Tikalsky, Paul

Pagination:

14p

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

Uncontrolled Terms:

Three dimensional data

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-4441

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:32PM