Development of Pavement Condition Forecasting for Web-Based Asset Management for County Governments

Details

• Creators:
  Wentz, Bradley
• Corporate Creators:
  Upper Great Plains Transportation Institute ; North Dakota State University
• Corporate Contributors:
  Minnesota Local Road Research Board ; Minnesota. Department of Transportation. Research Services & Library
• Subject/TRT Terms:
  • Asset management
  • Condition surveys
  • Forecasting
  • Geographic information systems
  • Inventory
  • Pavement management systems
  • Spatial analysis
  • Traffic forecasting
  • County government
  • Counties
• Publication/ Report Number:
  2020-04
• Resource Type:
  Tech Report
• Geographical Coverage:
  Minnesota ; United States
• Edition:
  Final Report
• Corporate Publisher:
  Minnesota. Department of Transportation
• Abstract:
  This application was developed to expand a low-cost asset inventory program called Geographic Roadway Inventory Tool (GRIT) to include roadway forecasting based on the American Association of State Highway and Transportation Officials (AASHTO) 93 model with inventory, pavement condition, and traffic forecasting data. Existing input data from GRIT such as pavement thickness, roadway structural information, and construction planning information will be spatially combined with current Minnesota Department of Transportation (MnDOT) Pathway pavement condition and traffic data to automatically forecast the future condition and age of roadways using the AASHTO 93 model. This forecasting model will allow roadway managers to use this information with comprehensive geographic information system (GIS) web maps to prioritize roadways in their construction schedules or multi-year plans.
• Format:
  PDF
• Funding:
  (c)1003323 (wo) 4
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/57593/dot_57593_DS1.pdf
• File Type:
  [PDF - 4.06 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:2f724c19b02cd7010c24d295e283b331f5cfd74775ce055708cae2926101eb5b