UTC 2022 Funding - Cycle 2 Research Projects

Project No.: CY3-TAMU-01
Title: Building Resilience Through Technology at Land Border Crossings
Performing Institution: Texas A&M Transportation Institute
Principal Investigator: Andrea Febles and Carlos Silva, Texas A&M Transportation Institute
Start and Anticipated Completion Dates: 01/01/2026 to 01/15/2027
Abstract: The objective of this project is to develop a scalable, AI-powered system that enhances the operational resilience of land border crossings. The system will integrate emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) to improve real-time monitoring, disruption forecasting, and stakeholder communication. Core research tasks include the development of a Concept of Operations (ConOps) to define system functionality and stakeholder roles; the creation of predictive models to anticipate disruptions and improve operational planning; and the production of a deployment and scalability guide to support future replication.  

The anticipated outcome of this research is the development of a system capable of predicting and anticipating disruptions in order to improve operational resilience under adverse operating conditions. Additionally, the system will serve as a replicable model for other U.S. land ports of entry, offering a scalable solution that integrates predictive analytics with real-time communication protocols. The approach directly supports national and regional goals of enhancing infrastructure durability, operational efficiency, and public safety in transportation systems, while also contributing to workforce development and knowledge transfer in the domain of resilient cross border mobility. 
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