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Author

Chiara Bonvicini

2 papers indexed here

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Review Sep 2026

PathShift: Relational trip reconstruction from passive mobility data for official-statistics-like mobility products

Population mobility is a core domain of Official Statistics, yet standard sources such as commuting matrices and travel surveys are infrequent, costly and only partially observe behaviour. Passive mobility data can improve timeliness and coverage, but they do not contain trips directly: trip boundaries must be inferred...

Luigi Galieni, E. Rossi, B. Zamengo 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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