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A digital twin (DT) is a realistic digital model of a physical system or process, with sensors that measure real-world parameters and a simulation engine that replicates the behavior of the system or process. Realistic digital geographical models of real-world locations provide baseline information for digital twin applications. This project explores DT as a tool for the management of civil infrastructure. The real physical systems selected for this concept were a road network of the roundabout at a parking garage, a pedestrian bridge, and an interdisciplinary research building on the University of Texas, El Paso campus. Using the campus as a living lab, we developed DT models based on transportation networks, structural modeling, and LiDAR scans. The transportation network and 3D model of the campus were combined for traffic simulation and real-time sensing at a roundabout, while the digital model of a pedestrian bridge was made for structural simulations with provisions for strain and tilt sensors. Vehicles were detected and tracked from video on an edge computing device and visualized in the DT environment. DT models were analyzed considering various scenarios, demonstrating practical applications for real-world infrastructure. This presentation focuses on providing valuable insights into DT development, implementation challenges, and potential applications for civil infrastructure projects. Presented by UTEP Professors Dr. Kelvin Cheu and Dr. Ruimin Ke, and PHD Candidate Talha Azfar