United States Department of Transportation
i
Georgia’s Long-Term Pavement Performance Monitoring and Management Plan – Detail Design of Plan
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2020-03-01
[PDF-1.40 MB]
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Edition:December 2018– March 2020
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Abstract:GDOT is actively seeking opportunities to improve its data collection and utilization to better support data-driven decision-making. This research project is to develop a long-term pavement performance monitoring and management plan that can cost-effectively provide sufficient, quality data to support pavement design and pavement management, including the calibration of the Mechanistic-Empirical Pavement Design Guide, the state route prioritization policy, and the quality assurance of pavement data in the coming 5 to 10 years. First, the data collected throughout pavement life-cycle activities by different offices were identified through interviews with engineers in different GDOT offices. Such information (including data items, data utilization, data collection frequency, data access, etc.) can be disseminated among GDOT’s offices for improving data awareness and data utilization. Second, the potential opportunities for (a) improving data sharing; (b) optimizing data collection for multiple purposes; (c) maximizing sensor data utilization; (d) optimizing resources throughout activity collaboration; (e) improving information flow throughout pavement life-cycle activities among different offices; and (f) collecting the data needed for now and in the future (e.g. asset management, ADA compliance, pedestrian and bike, etc.) were identified through the discussion with GDOT’s engineers. These discussions provide GDOT potential opportunities for and insight about improving GDOT’s operational efficiency. GDOT is in the process of transitioning towards a new pavement data production operation with an outsourced, automated pavement data collection process, so this project provides recommendations for GDOT’s successful transition. It layouts the utilization of 3D pavement data at 3 different levels and suggests the applications of video images and Lidar could data. Finally, the project provides a plan that includes an optimal site selection strategy, proposed collection sites, and a data collection plan to gather the data needed for GDOT’s pavement design and pavement management operations.
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