IAS Visiting Fellow Dr Mrinal Bachute delivers a seminar on their research - Urban mobility systems are at a critical inflection point, driven by rapid urbanization, climate imperatives, and the need for equitable access. This talk explores how advanced Artificial Intelligence—particularly Generative AI, Agentic AI, and Graph Neural Networks—can transform urban transport into intelligent, adaptive, and sustainable ecosystems. Drawing from real-world deployments in global smart cities, the session showcases AI applications in real-time traffic optimization, demand-responsive transit, and active mobility planning. Emphasis is placed on practical AI architectures using digital twins, federated learning, and edge computing to ensure scalability and data privacy. The talk further outlines how autonomous AI agents can make real-time policy-aligned decisions to support net-zero and inclusive mobility outcomes. For more information about the IAS, please visit - https://www.lboro.ac.uk/research/ias