Does your organization know how to measure and verify pavement surface condition data based on mapping sensor technologies? TRB will conduct a webinar on Wednesday, June 10, 2020, from 1:00 PM to 3:00 PM Eastern to discuss the challenges and solutions from experience on actual projects. In pavement management systems, accurate and precise condition data are essential for making data-driven decisions about maintenance and rehabilitation projects. Some condition data, including surface cracking and other distress types, have been collected through manual windshield and walking surveys. There are newer semi-automated surveys as well as fully automated surveys that are now available to collect pavement surface condition data, and there is a need to ensure adequate quality of the collected data and consistency with previously collected data. Presenters will provide guidelines regarding certification and verification of pavement surface condition data. They will also discuss how to reconcile the differences between the old and new data collection technologies.
This webinar was organized by the TRB Standing Committee on Pavement Management Systems and the Standing Committee on Pavement Condition Evaluation.
State of the practice of pavement condition data: Andy Mergenmeier, U.S Federal Highway Administration
Calibration and verification of highway and street distresses: Doug Frith, Quality Engineering Solutions
Certification and verification of airfield pavement distress data: Monty Wade, Applied Pavement Technology
Certification and verification of transverse profile data: John Ferris, Virginia Tech University
Questions and answers: Moderated by Nima Kargah-Ostadi, iEngineering Corporation
The first 90 minutes of the webinar will be for presentations and the final 30 minutes will be reserved for audience questions.
At the end of this webinar, participants will be able to:
Identify current practices for certification and verification of pavement condition data using advanced mapping sensor technology
Discuss limitations of various technologies and list solutions to overcome limitations
Consider data quality when making pavement management decisions
List sources available for further investigation and knowledge acquisition on these topics