On-Going Projects

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.