How AI, Data and Human Cognition Help Cities to Anticipate Disruptions | FRS Perspective Video
Martin Raubal, Kezhi Mao, and Johanna Wörle explore how AI gaze-tracking, and public sentiment analysis are changing how cities manage urban mobility crises.
How can AI, eye-tracking and public sentiment analysis help cities make faster, smarter decisions in times of crisis? In this episode of the FRS Perspective Video Series, Prof. Dr. Martin Raubal (ETH Zurich), Prof. Kezhi Mao (Nanyang Technological University) and Dr. Johanna Wörle (Singapore-ETH Centre) explore how new tools are transforming transport resilience in highly complex, data-rich urban environments like Singapore.
As cities grow denser and mobility becomes more digital, control rooms and policymakers must manage crises in real time. This video explores how AI-enhanced gaze-sharing tools, sentiment analysis using large language models, and interface design for remote driving are reshaping how operators respond to emergencies and how the public experiences disruption.
Topics covered include:
- How eye-tracking reduces decision fatigue in transport control rooms
- Why remote operators of autonomous vehicles need better interfaces
- How social media sentiment informs transport crisis management
- Real-world collaborations with MCCY, Home Team Behavioural Science Centre, and more
- Why urban resilience needs both smart tech and smart governance
This video is of particular relevance for stakeholders involved in transport planning, public policy, behavioural science, or infrastructure management. It offers a timely look at how technology and human factors must co-evolve in cities that aspire to be resilient, inclusive, and adaptive.