TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
The author proposes TESTAM, a Mixture-of-Experts model, to enhance in-situ traffic forecasting by incorporating diverse graph architectures. By transforming the routing problem into a classification task, TESTAM effectively contextualizes various traffic conditions and selects appropriate spatial modeling methods.
