At RoVIT, we develop smart urban planning solutions that leverage artificial intelligence, data analytics, and simulation technologies to support the design of sustainable and resilient cities. Our research focuses on integrating real-world data from sensors, geographic information systems (GIS), and digital twins to model and predict the behavior of complex urban systems.

By combining machine learning, computer vision, and 3D reconstruction techniques, we aim to understand how cities evolve, optimize resource management, and improve decision-making in areas such as mobility, energy efficiency, public safety, and environmental monitoring.

Our approach promotes the creation of data-driven urban environments capable of adapting to social, economic, and climatic challenges