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#machine learning Preprint Sep 2026

Inferring Urban Mobility Interactions from Aggregated Dynamics

Real-time urban governance depends not only on knowing where people are, but on how they move between places, directional flows that could be conventionally resolved by tracking individuals through space, i.e., expensive to sustain and built on traces that are highly unique and readily re-identifiable. Here we show tha...

Yi Wang, Jing Li, Jin-Liang Deng et al. · 0 citations

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