Excited to see the strong presence of the MLSM (Machine Learning for Smart Mobility) group at hEART 2026 – 14th Symposium of the European Association for Research in Transportation, contributing research at the intersection of mobility, machine learning, transportation systems, and urban resilience.

Two special highlights from the MSLM group were Francisco Camara Pereira’s keynote lecture,“The Unknowable Future: AI, Simulation Surrogates, and Deep Uncertainty” (left), showcasing the growing role of artificial intelligence and data-driven methods in supporting transportation decision-making under uncertainty, and Carlos Lima Azevedo’s PhD School lecture “Sensing and Modelling of Travel Behaviour and Emotions” (right), which showcased how sensing technologies, behavioural modelling, and machine learning can help uncover the role of emotions in shaping travel behaviour and mobility decisions.

This year, MLSM researchers presented work spanning active mobility, climate resilience, travel behaviour, multimodal learning, and sustainable transportation:

• Alfredo Jose Ojeda Diaz presented “Follow the e-riders: Exploring behaviour change processes among e-bike adopters through a mixed-methods approach.”
• Serio Agriesti presented “Interventionally Consistent Surrogates for Urban Flood Resilience Planning.”
• Maria Lucchetta presented “More than a feeling: symbolic meanings of transport modes in popular music.”
• Arthur Vandervoort presented “How can nuisance flooding affect Copenhagen residents’ Quality of Life?”
• Carlos Lima Azevedo presented “The effect of daily stress in activity patterns: Evidence from a naturalistic experiment.”
• Julia Anna Guggenberger presented “Market Behavior in a Tradable Credit Scheme for Sustainable Mobility: Insights from a Lab Experiment.”
• Danya Li presented“Decoding Pedestrian Crossing Intentions from Egocentric Vision via Vision-Language Models.”
• Lanlan Yan presented“Bridging Models and Modalities: Fusing Models Created from Diverse Multimodal Datasets.”
• Miguel Costa presented “Comparing Urban Elements Effects on Objective and Subjective Cycling Safety.”
• Aditya Paul contributed to“Embedding the Capabilities Approach in Transport Network Design: A Multi-Period Optimization Framework with Endogenous Feedback.”

Congratulations to everyone involved. It is great to see MLSM contributing across such a diverse set of transportation challenges, from sustainable mobility and behavioural modelling to AI-driven analytics and climate resilience. Looking forward to the collaborations and discussions sparked at #hEART2026. 🚲🚌🌍