Artificial Intelligence (AI) Technologies for Data-Driven Bridge Management

Artificial intelligence (AI) is showing promise for providing quick analysis, summary and documentation of field conditions for bridges. This project will provide the Illinois Department of Transportation (IDOT) with an overview of AI products available for bridge inspection and management. Researchers will review other state agencies’ practices and policies for use of AI in this field as well as develop recommendations for IDOT. Aid in formulation of AI policy for bridge inspection within IDOT may be considered if the department deems the technology essential. Effective use of AI in bridge inspection and management systems will provide cost and time savings to the state, allowing for quicker bridge inspections, diagnosis of issues and documentation.

    Language

    • English

    Project

    • Status: Active
    • Funding: $220,000.00
    • Contract Numbers:

      R27-290

    • Sponsor Organizations:

      Illinois Department of Transportation

      Bureau of Materials and Physical Research
      126 East Ash Street
      Springfield, IL  United States  62704-4766
    • Managing Organizations:

      University of Illinois, Urbana-Champaign

      Illinois Center for Transportation
      1611 Titan Drive
      Rantoul, IL  United States  61866
    • Performing Organizations:

      University of Illinois, Urbana-Champaign

      Department of Civil and Environmental Engineering
      Newmark Civil Engineering Laboratory
      Urbana, IL  United States  61801-2352
    • Principal Investigators:

      El-Gohary, Nora

    • Start Date: 20260516
    • Expected Completion Date: 20280515
    • Actual Completion Date: 0
    • USDOT Program: Research and Development

    Subject/Index Terms

    Filing Info

    • Accession Number: 01989329
    • Record Type: Research project
    • Source Agency: Illinois Department of Transportation
    • Contract Numbers: R27-290
    • Files: RIP, STATEDOT
    • Created Date: May 15 2026 9:24AM