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.

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The contents of this report reflect the views of the authors, who are responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the University of Kentucky, the Kentucky Transportation Center, the Kentucky Transportation Cabinet, the United States Department of Transportation, or the Federal Highway Administration. This report does not constitute a standard, specification, or regulation. The inclusion of manufacturer names or trade names is for identification purposes and should not be considered an endorsement.

© 2018 University of Kentucky, Kentucky Transportation Center

Information may not be used, reproduced, or republished without KTC’s written consent.