AI-Driven Innovations for Smart and Sustainable Urban Mobility

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.

Arrivals from 11:45 am for a 12:00 noon start. For those joining in-person, lunch will be served after the seminar from 1:00pm.

This event is hybrid format, please use the required booking button at the bottom of the page to choose either in-person or online attendance.
(Please note that in-person spaces are limited and booking is required, so we can manage numbers for catering and also the space in the seminar room)

By booking a place at this event, attendees agree to behave in a respectful manner such that everyone feels comfortable contributing as they wish. The IAS reserves the right to eject anyone who does not abide by this policy.

IAS seminars are typically recorded, minus any Q&A sessions at the end, again to encourage contributions. The recordings are then uploaded to our website on a Fellows bio page and/or Programme page, along with our IAS YouTube Channel. If you are not able to attend a seminar live, please do still register for the Zoom Webinar, as we will email everyone who registered to let them know once the recordings are made available.