About Our Lab
Welcome to the UrbanITY Lab at the University of Central Florida. We are the Urban Intelligence & Smart City Laboratory, a research group in the Department of Civil, Environmental, and Construction Engineering (CECE). Directed by Dr. Shaurya Agarwal, our work sits at the intersection of transportation engineering, data science, and cyber-physical systems. We focus on making transportation safer, more efficient, and better connected — through smart cities, connected and autonomous vehicles, and intelligent infrastructure.
Research Highlights
Latest Publications
- Huang, A.J. & Agarwal, S. (2023). On the Limitations of Physics-informed Deep Learning: Illustrations Using First Order Hyperbolic Conservation Law-based Traffic Flow Models. IEEE Open Journal of Intelligent Transportation Systems.
- Shabab, R., Mustavee, S., Agarwal, S., et al. (2023). Exploring Dynamic Mode Decomposition for Robust System Identification: Applications to Adaptive Signalised Intersections. Journal of Intelligent Transportation Systems (Taylor and Francis).
- Das, S., Mustavee, S., Agarwal, S., Hasan, S. (2023). Koopman-theoretic Modeling of Quasiperiodically Driven Systems: Example of Signalized Traffic Corridor. IEEE Transactions on Systems, Man and Cybernetics: Systems.
- Mustavee, S., Agarwal, S., Enyioha, C., & Das, S. (2022). A linear dynamical perspective on epidemiology: interplay between early COVID-19 outbreak and human mobility. Nonlinear Dynamics (Springer).
- Huang, A.J. & Agarwal, S. (2022). Physics-informed deep learning for traffic state estimation: illustrations with LWR and CTM Models. IEEE Open Journal of Intelligent Transportation Systems.