On-Going Projects

3rd-Cycle Projects (2025-grant)

• OPTIMIZATION-BASED FRAMEWORK AND DECISION-SUPPORT TOOL FOR BRIDGE TOLL IMPLEMENTATION UNDER BEHAVIORAL AND OPERATIONAL CONSTRAINTS[IBT-ABC-UTC-2024-C3-FAMU01]: This project develops an optimization-based framework and decision-support tool to guide bridge toll implementation under real-world behavioral and operational constraints. It incorporates behavioral factors, such as present bias, into traditional economic models to better reflect how users and policymakers make decisions. The framework evaluates different tolling strategies by balancing short-term user response with long-term social welfare. A user-friendly tool is created to simulate scenarios, visualize trade-offs, and support data-driven decision-making. The approach is validated using realistic transportation data and stakeholder input. The goal is to enable more effective, efficient, and publicly acceptable tolling strategies for modern infrastructure systems.

• DEVELOPMENT OF A REAL-TIME DECISION SUPPORT FRAMEWORK FOR RESILIENT BRIDGE INFRASTRUCTURE DURING EVOLVING HAZARD CONDITIONS[IBT-ABC-UTC-2024-C3-FAMU03]: This project develops a real-time decision-support framework to manage bridge infrastructure during evolving hazard events such as floods, hurricanes, and wildfires. It integrates real-time data from sensors, hazard forecasts, and traffic systems to assess bridge conditions and network risks dynamically. Advanced analytics and machine learning are used to recommend timely actions like rerouting, temporary reinforcement, or closures. A visual, user-friendly platform presents critical information to support rapid decision-making by transportation agencies. The framework is validated through a case study in Florida to demonstrate its practical impact. The goal is to enhance infrastructure resilience, improve emergency response, and minimize disruptions during extreme events.

2nd-Cycle Projects (2025-grant)

• Intelli-Viz – Comprehensive, Human-centered, Risk-based Online Platform for Evaluation,Visualization and Prioritization of Bridge Projects [IBT-ABC-UTC-2024-C2-FAMU01]: This research employs a multidisciplinary approach, combining data, predictive modeling, geospatial visualization, and performance evaluation to address challenges in bridge project prioritization. The project will leverage advanced technologies to develop a decision-support platform that integrates diverse datasets and facilitates informed decision-making for transportation agencies. By adopting a structured methodology following the capability approach in economic development, the research will aim to improve the efficiency and effectiveness of prioritization processes while addressing broader impacts on mobility, and resilience. The approach emphasizes collaboration between data-driven analytics and user-centered design to ensure practical applicability and scalability.

• Intellibridge: AI-Powered Precision In Bridge Maintenance Optimization [IBT-ABC-UTC-2024-C2-FAMU02]: The primary goal of the IntelliBridge project is to develop an AI-driven system to optimize bridge maintenance planning and ensure cost-effective resource allocation. The specific objectives of this research are: 1) AI Model Development: Develop machine learning models capable of accurately predicting the condition of bridge elements using historical and real-time data sources, 2) Optimization of Maintenance Interventions: Integrate binary linear programming techniques to optimize maintenance interventions under budget constraints, and 3) Decision-Support Framework: Implement a data-driven decision-support framework that assists transportation agencies in planning and resource allocation efficiently.

1st-Cycle Projects (2024-grant)

• Needs Assessment and Knowledge Base Development Towards Developing a Comprehensive, Human-Centered, Risk-Based Decision Support System for Prioritizing Bridge Projects [IBT-ABC-UTC-2024-C1-FAMU01]: The objectives of this research include: 1) create a secure, unified, integrated, and accessible geospatial knowledge base that includes heterogeneous data on demographics, traffic, environment, and infrastructure, which will be available for prioritizing, implementing and validating bridge technologies, 2) develop a cloud-based platform to provide access to these infrastructure, population, environment, mobility and related geographic information systems (GIS) datasets in the State of Florida, 3) conduct a needs assessment using data-driven approaches towards prioritizing bridge technologies, and 4) identify the data requirements for the development of the proposed decision-making tool.