Secure your free place at AET's Transport & Mobility Forum webinar

Winter
May 19
1 min read

FREE WEBINAR: 5th June 2025

11:00-12:00 CEST / 10.00 – 11.00 BST

How AI is Reshaping Sustainable Urban Transport

We are delighted to continue the collaboration between AET and Elsevier's Journal of Urban (JUM) with the co-hosting of this fourth annual webinar, which will give a flavour of the quality of discussion and debates to be anticipated at ETC 2025 in Antwerp 17-19 September.

How AI is Reshaping Sustainable Urban Transport and Who Gets Left Behind?

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The integration of Artificial Intelligence (AI) into sustainable urban mobility marks a transformative shift in how cities manage efficiency, equity, and environmental goals. AI enables smarter traffic flow, reduced congestion, and improved access through innovations like autonomous vehicles, data-driven traffic systems, and e-micromobility platforms.

However, rapid adoption raises critical concerns around economic viability, social equity, ethical use of data, and environmental trade-offs. As AI becomes central to public discourse, it’s vital to distinguish genuine innovation from hype.

This session explores AI’s real-world impact on transport, including tools like Large Language Models (LLMs), which offer real-time decision-making but also pose risks like disinformation. Through case studies from academia and industry—such as AI-optimised transit, equity-focused micromobility, and LLM-assisted traffic management—the session aims to bridge theory and practice.

The session is designed for policymakers, planners, and students. It fosters a critical, inclusive dialogue on building smarter, greener, and more just mobility systems.

Webinar Information

This session is co-hosted by the Journal of Urban Mobility. It is chaired by Conall Mac Aongusa (Chair of the Transport and Mobility Forum) and moderated by Mengqiu Cao (Associate Editor of the JUM). The AET Transport and Mobility Forum webinars are FREE to attend and are hosted on the Zoom platform.

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Speaker’s Information

Mengqiu (Matthew) Cao, University College London, UK Mengqiu Cao is a Lecturer in Transport and Urban Systems Modelling at the Bartlett School of Environment, Energy and Resources, University College London. Mengqiu represents both the JUM, where he is Associate Editor, and AET, where he has served as a UK Ambassador.
Maria Ferro, Btinkeeng, Italy Maria Ferro is a senior data scientist, leading the Data Science & AI team at Btinkeeng, with a strong background in mobility and insurance data, particularly in Claims and Pricing. She is an expert in the full data project lifecycle—from data preparation and modelling to product delivery and customer support. Maria also co-invented several patents on telematics algorithms. She holds a PhD and has published ten scientific articles in international journals. Maria is an experienced speaker at seminars and industry events.
Gergő Galige, BKK Budapest, Hungary Gergő Galiger works as a Senior Data Scientist at BKK Budapest, while pursuing a PhD in computer science at the Faculty of Informatics of ELTE. His work focuses on the development of explainable neural networks and their application in safety-critical domains, such as transportation.
Robert Corbally, Roughan & O’Donovan (ROD), Ireland – invited speaker by PIARC (World Road Association) Robert Corbally leads the research and innovation activities within Roughan & O’Donovan (ROD) and maintains close links with universities through lecturing and engagement in collaborative research. He believes that by harnessing technological advancements engineers can solve many of the challenges facing the industry today. Robert has recently completed a study for the World Road Association (PIARC) which focuses on how AI can be leveraged to provide benefits in the road sector.