Measuring the Characteristics of Pavement Surface Images and Developing Standard Practices for Calibration, Certification, and Verification of Imaging Systems

Imaging systems are commonly used for conducting pavement evaluations. AASHTO Standard Practice for Collecting Images of Pavement Surfaces for Distress Detection (AASHTO Designation: PP 68) addresses the collection of images. However, there are no widely accepted methods for measuring the characteristics of pavement surface images (such as 2-dimensional optical images and 3-dimensional surface elevation images). There are also no widely accepted AASHTO standard practices for the calibration, certification, and verification of such images. Research is needed to identify the characteristics of surface images that are essential for pavement evaluation and develop methods for measuring these characteristics, and also to develop recommended standard practices for implementing these methods. This information will help highway agencies better evaluate image data collection systems and improve the process of pavement condition evaluation. The objectives of this research are to (1) identify and develop methods for measuring the characteristics of surface images used for pavement evaluation and analysis; and (2) develop recommended standard practices for the calibration, certification, and verification of such images, for consideration and adoption by AASHTO.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=4350

Language

• English

Project

• Status: Completed
• Funding: $593633
• Contract Numbers:

  Project 01-60

• Sponsor Organizations:

  National Cooperative Highway Research Program

  Transportation Research Board
  500 Fifth Street, NW
  Washington, DC  United States  20001

  American Association of State Highway and Transportation Officials (AASHTO)

  444 North Capitol Street, NW
  Washington, DC  United States  20001

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Project Managers:

  McKenney, Christopher

• Performing Organizations:

  Georgia Tech Research Corporation

  505 Tenth Street
  Atlanta, GA  United States  30332-0420
• Principal Investigators:

  Tsai, Yichang

• Start Date: 20180910
• Expected Completion Date: 20221209
• Actual Completion Date: 20221209
• Source Data: RiP Project 41593

Subject/Index Terms

• TRT Terms: Best practices; Calibration; Condition surveys; Data collection; Evaluation and assessment; Image analysis; Pavements; Standards
• Identifier Terms: American Association of State Highway and Transportation Officials
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements;

Filing Info

• Accession Number: 01634642
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 01-60
• Files: TRB, RIP
• Created Date: May 12 2017 9:54AM