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.
· Sustainability · 0 citations