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Conference Open access Oct 2026

Framework for Generating Activity-Based Travel Demand Using Aggregated Mobility and Land-Use Big Data

Activity-based models have emerged over the past four decades and have demonstrated a stronger capacity than traditional four-step models to capture the sequence of an individual’s daily activities, associated trips, and travel behavior. However, the state of the art shows that demand generation in activity-based model...

N. Nguyen, Joerg Schweizer, Cristian Poliziani et al. · 0 citations
Review Open access Sep 2026

Artificial Intelligence in Sustainable Transportation Planning: Issues, State of the Art, and the Potential of Neurosymbolic AI

It is argued that neurosymbolic AI architectures offer a promising research direction by combining neural learning from heterogeneous mobility data with symbolic representations of behavioral rules, network constraints, as well as accessibility, equity, and environmental objectives.

Giacomo Bernieri, Chiara Bonvicini, Maria Giulia Luddi et al. · 0 citations

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