Attention-Fused Multi-Scale OSM Context for Spatio-Temporal GNNs in Urban Mobility Flow Forecasting
An enhanced Diffusion Convolutional Recurrent Neural Network (DCRNN) that integrates multi-scale OpenStreetMap features with attention-based fusion for urban bike-sharing flow forecasting. Achieves 13% RMSE improvement over baselines on 714 Swiss stations.
