Synthesis of Information Related to Highway Practices. Topic 54-14. Artificial Intelligence Applications for Automated Pavement Condition Evaluation

The objective of this synthesis is to document state DOT current practices of automated pavement distress identification and AI (ML/DL) technologies for pavement condition evaluation. Information to be gathered includes (but is not limited to): (1) Requirements for automated pavement distress identification; (2) Various applications of pavement distress condition information; (3) Types of agency decision-making supported by pavement condition data; (4) Artificial intelligence (e.g., machine learning, deep learning) technologies, tools, and models currently being applied to pavement distress detection and classification and to pavement condition evaluation; and (5) Ground truth / reference / benchmark data used in AI-technique development, training, and evaluation.

Language

  • English

Project

  • Status: Programmed
  • Funding: $55000
  • Contract Numbers:

    Project 20-05, Topic 54-14

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Harwood, Leslie

  • Start Date: 20220516
  • Expected Completion Date: 0
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01845351
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 20-05, Topic 54-14
  • Files: TRB, RIP
  • Created Date: May 16 2022 3:04PM