Development of a Real-Time Decision Support Framework for Resilient Bridge Infrastructure During Evolving Hazard Conditions

Bridge infrastructure serves as a critical lifeline for transportation, emergency response, and economic continuity. In hazard-prone regions such as Florida, bridges face escalating risks from floods, hurricanes, and wildfires that can rapidly disrupt traffic flow and delay emergency operations. Existing bridge management systems primarily focus on long-term planning and condition assessment, offering limited capability for real-time decision-making during evolving hazard events. This project aims to develop a real-time decision support framework that enables dynamic management of bridge infrastructure under active hazard conditions. The proposed framework will integrate real-time hazard forecasts, sensor-based condition monitoring, and infrastructure performance data to guide rapid, data driven decisions. Using advanced analytics and scenario modeling, the system will support time-sensitive operational actions such as rerouting, temporary reinforcement, and emergency closures. A visual decision-support interface will convey hazard progression, bridge condition, and recommended response strategies to transportation agencies and emergency managers in an intuitive, spatially enabled format. Building upon prior work at Florida A&M University on the IntelliViz prioritization platform, this research extends the concept from long term resilience planning to operational support. A regional case study in Florida will demonstrate the practical implementation of the framework and its benefits for improving coordination, minimizing downtime, and enhancing public safety during flood and hurricane events. By integrating real-time data streams with predictive modeling and visualization tools, the project will bridge the gap between static risk assessment and dynamic hazard response, providing a scalable and implementable framework for strengthening transportation resilience and supporting informed, timely decisions during extreme events.

• Record URL:
  • https://abc-utc.fiu.edu/development-of-a-real-time-decision-support-framework-for-resilient-bridge-infrastructure-during-evolving-hazard-conditions/

Language

• English

Project

• Status: Active
• Funding: $78,618.00
• Contract Numbers:

  69A3552348322

• Sponsor Organizations:

  Innovative Bridge Technologies/Accelerated Bridge Construction University Transportation Center (IBT/ABC-UTC)

  Florida International University
  Miami, FL  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Performing Organizations:

  Florida A&M University, Tallahassee

  404 Foote/Hilyer
  Tallahassee, FL  United States  32307
• Principal Investigators:

  Sharma, Neetesh

• Start Date: 20260101
• Expected Completion Date: 0
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Bridge management systems; Bridges; Decision support systems; Disasters and emergency operations; Real time information; Risk management
• Geographic Terms: Florida
• Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation; Planning and Forecasting; Security and Emergencies;

Filing Info

• Accession Number: 01987968
• Record Type: Research project
• Source Agency: Innovative Bridge Technologies/Accelerated Bridge Construction University Transportation Center (IBT/ABC-UTC)
• Contract Numbers: 69A3552348322
• Files: UTC, RIP
• Created Date: Apr 27 2026 8:01PM