Enhancing the GDOT’s Maintenance Decision Trees Considering the Effectiveness of Various Treatment Options in Different Geographical Locations and Over Time

Details

• Creators:
  Moore, Brian P ; Baek, Minsoo ; Ashuri, Baabak ; Chung, Frederick ; Paik, Yejee
• Corporate Creators:
  Kennesaw State University ; Georgia Institute of Technology
• Corporate Contributors:
  Georgia. Department of Transportation. Office of Performance-Based Management & Research ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Transportation
  • Pavement management systems
  • Machine learning
  • Benefit cost analysis
  • Asset management
  • Maintenance
  • Decision making Transportation Asset Management
  • Pavement Condition Prediction
  • Cost Forecasting Model
• Publication/ Report Number:
  FHWA-GA-24-2103
• Resource Type:
  Tech Report
• Geographical Coverage:
  Georgia;United States
• Edition:
  Final Report (April 2022 – July 2024)
• Corporate Publisher:
  Georgia. Department of Transportation. Office of Performance-Based Management & Research
• Abstract:
  The Georgia Department of Transportation (GDOT) is responsible for pavement management of 7,100 centerline miles, encompassing diverse terrain types. The conventional “one size fits all” approach is no longer viable as pavement condition depends on several internal and external factors that are different from district to district, e.g., material, construction, environment, etc. Hence, the maintenance and rehabilitation criteria for pavements need to be studied and updated to account for regional effects, cost variation, and decision timing. This study seeks to enhance the GDOT’s maintenance strategies through: (1) empirically analyzing the pavement deterioration in different geographical locations and climate conditions across the state and (2) improving life cycle cost estimates for the treatment options. The decision analysis methods will be capable of helping support maintenance and rehabilitation prioritization, optimizing budget allocation, and enhancing the reliability of statewide pavement performance.
• Format:
  PDF
• Funding:
  PI# 0018123
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/76511/dot_76511_DS1.pdf
• File Type:
  [PDF - 2.16 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:07b7ff69a568dd5d3ebbd18d5aaf9b4a61b2fe1d5fe3464ce3712b8c27514598934a09afafae51fcaaa0bfc9b7cb884adfef2eef01fda0d898f91a810b3abae2