Exploration of using GDOT's existing videolog images and pavement surface imaging data to support statewide maintenance practices : final report.
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2016-04-01
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Edition:Final report
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Abstract:Videolog and pavement imaging data is a valuable asset that has supported the Georgia Department of
Transportation (GDOT) and enable it to fulfill the requirements of its Highway Performance Monitoring
System (HPMS). To maximize the return on investment, GDOT is seeking to utilize the existing videolog
and pavement imaging data for extracting roadway asset data that is indispensable for supporting the
statewide asset management and maintenance programs. For this purpose, this research project explored the
utilization of GDOT’s existing videolog and pavement imaging data for extracting guardrails, rumble strips,
and traffic signs. Image-processing-based algorithms were developed, which were tested using both
GDOT’s videolog images and the data collected by using the Georgia Tech Sensing Vehicle (GTSV). In the
meantime, through the comprehensive investigation and analysis of GDOT’s existing data and the
exploration results, suggestions were made for data specification and data quality control that can be added
to GDOT’s existing requirements for future outsourcing contracts. Therefore, the data could be better
utilized to support the statewide asset management and maintenance in the future.
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