AI RESEARCH
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective
arXiv CS.LG
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ArXi:2412.00167v2 Announce Type: replace In recent years, origin-destination (OD) demand prediction has gained significant attention for its profound implications in urban development. Existing data-driven deep learning methods primarily focus on the spatial or temporal dependency between regions yet neglecting regions' fundamental functional difference.