Development of an ML-based Georgia Pavement Structural Condition Evaluation System

The objective of this research is to develop a machine learning-based Georgia Pavement Structural Condition Evaluation System (ML-GPSCES) that reliably and accurately evaluates and categorizes pavement structural health conditions by processing and analyzing data collected by Georgia Department of Transportation (GDOT) using advanced sensing technologies, including TSD, ground penetrating radar (GPR), and 3D laser technology.


    • English


    • Status: Active
    • Funding: $250000
    • Contract Numbers:

      GDOT RP 23-04

    • Sponsor Organizations:

      Georgia Department of Transportation

      One Georgia Center
      600 West Peachtree Street, NW
      Atlanta, GA  United States  30308
    • Project Managers:

      Jordan, Kamari

    • Performing Organizations:

      Georgia Tech Research Corporation

      505 Tenth Street
      Atlanta, GA  United States  30332-0420
    • Principal Investigators:

      Tsai, Yichang (James)

    • Start Date: 20240122
    • Expected Completion Date: 20260122
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01908277
    • Record Type: Research project
    • Source Agency: Georgia Department of Transportation
    • Contract Numbers: GDOT RP 23-04
    • Files: RIP, STATEDOT
    • Created Date: Feb 15 2024 3:19PM