Light Detection and Ranging (Lidar) technology is a useful tool that can assist transportation agencies during the design, construction, and maintenance phases of transportation projects. To demonstrate the utility of Lidar, this report discusses how Lidar data can be used while performing quality control and quality assurance (QC/QA) of pavement grades along road segments where safety concerns have been identified (e.g., increased crash rates due to water ponding on the roadway). Researchers modeled surface runoff using Lidar data for several roadways that had experienced significant crash increases during wet-weather events. Based on this modeling, the Kentucky Transportation Cabinet (KYTC) undertook corrective maintenance to eliminate the points of concerns. Applying Lidar on transportation projects holds much promise, but there are several challenges related to its accuracy that transportation agencies must be cognizant of before deploying it routinely or using it to replace conventional surveying techniques.
Utilization of Light Detection and Ranging for Quality Control and Quality Assurance of Pavement Grades
2018
24 pages
Report
Keine Angabe
Englisch
Quality Control & Reliability , Transportation Safety , Road Transportation , Transportation & Traffic Planning , Nondestructive Testing , Transportation , Structural Analyses , Construction Materials, Components, & Equipment , Construction Management & Techniques , Lidar , Quality control , Quality assurance (QA) , quality assurance , 3D highway modeling , Hydroplaning , Maintenance (upkeep) , Pavement Grades , Kentucky Transportation Cabinet (KYTC)
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