GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation
The GeoFlow framework models origin-destination (OD) flows by integrating geospatial attributes, such as relative positions, k-hop, and geodesic distances, into area representations. It combines a geometric-intrinsic fusion encoder with an axial-global attention decoder, and pairs with flow matching models to generate synthetic mobility samples.
Why it matters — It overcomes the limitations of traditional graph-based methods that ignore global spatial structures, enabling more accurate predictions of long-range, multi-area dependencies and producing highly realistic, diverse mobility patterns.