AI-Powered Infrastructure Monitoring and Decision Support for Transportation Safety: Field Deployment and TDI Integration
In its fourth year, this project continues to advance transportation safety through the deployment and scaling of cutting-edge technologies for near real-time monitoring of infrastructure. Building on the foundational work of Year 1 (inverse problem framework development and vision-based structural health monitoring for bridges) and Year 3 (AI-powered video analytics scaled to urban infrastructure), the Year 4 initiative at Howard University integrates three funded years of research into a deployable, scalable monitoring solution. The core focus of Year 4 is field deployment of the integrated monitoring platform on an operational bridge in Washington, DC, identified in coordination with the District Department of Transportation (DDOT). In parallel, the project will conduct exploratory trials of drone-based video and imagery for structural inspection, in collaboration with DDOT’s Drones team, to assess whether this complementary sensing approach warrants full integration in a potential Year 5. The work integrates civil engineering, computer vision, machine learning, and applied mathematics for AI-powered structural diagnosis.
Language
- English
Project
- Status: Active
- Funding: $400,000.00
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Contract Numbers:
69A3552348303
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Safety and Mobility Advancements Regional Transportation and Economics Research Center
Morgan State University
Baltimore, MD United States -
Performing Organizations:
Safety and Mobility Advancements Regional Transportation and Economics Research Center
Morgan State University
Baltimore, MD United States -
Principal Investigators:
Marin, Claudia
- Start Date: 20260801
- Expected Completion Date: 20280301
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Artificial intelligence; Asset management; Bridges; Decision support systems; Drones; Image analysis; Structural health monitoring
- Geographic Terms: Washington (District of Columbia)
- Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation;
Filing Info
- Accession Number: 01998031
- Record Type: Research project
- Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
- Contract Numbers: 69A3552348303
- Files: UTC, RIP
- Created Date: Aug 1 2026 9:43AM