Protocols for Network-Level Macrotexture Measurement
Recent research has shown that wet weather crashes are influenced by the macrotexture of the pavement surface. Therefore, availability of such data in pavement management systems would help highway agencies assess the adequacy of pavement surface macrotexture and determine if corrective actions are required. Methods commonly used for measuring macrotexture are cumbersome, time-consuming, provide information on a limited portion of the pavement surface, and expose workers to risk. Methods for measuring network-level macrotexture are currently available. However, there is a potential for enhancing available procedures or developing new procedures to provide a better characterization of pavement surface texture. Research is needed to (1) identify the factors that influence texture measurement, (2) develop improved methods for network-level macrotexture measurement that address these factors, and (3) prepare recommended test methods, equipment specifications, and data quality assurance practice to facilitate use of these methods. This information will help highway agencies collect reliable network-level macrotexture data for use in pavement management systems and decision making. The objective of this research is to develop recommended protocols for test methods, equipment specifications, and data quality assurance practice for network-level macrotexture measurement.
Language
- English
Project
- Status: Completed
- Funding: $500000
-
Contract Numbers:
Project 10-98
-
Sponsor Organizations:
Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590American Association of State Highway & Transportation Officials (AASHTO)
444 North Capitol Street, NW, Suite 225
Washington, DC United States 20001National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001 -
Project Managers:
Crichton-Sumners, Camille
-
Performing Organizations:
Virginia Polytechnic Institute and State University, Blacksburg
208 Patton Hall
Blacksburg, VA United States 24061 -
Principal Investigators:
Flintsch, Gerardo
- Start Date: 20160906
- Expected Completion Date: 20190905
- Actual Completion Date: 20190905
- Source Data: RiP Project 40201
Subject/Index Terms
- TRT Terms: Data collection; Data quality; Macrotexture; Measuring methods; Pavements; Quality assurance; Specifications; Surface texture tests; Test procedures
- Subject Areas: Highways; Pavements; Safety and Human Factors;
Filing Info
- Accession Number: 01572349
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 10-98
- Files: TRB, RiP
- Created Date: Aug 6 2015 1:00AM