Integrating Spatial Information with FMs

Background: Traffic forecasting models that rely solely on generalist foundation models may exhibit performance degradation when datasets involve complex spatial interactions compared to models incorporating explicit spatial information.

Question / Future Work: Further research should explore methods to effectively integrate explicit spatial adjacency information into Time Series Foundation Models to potentially improve performance on transportation datasets characterized by complex spatial dependencies, as zero-shot models sometimes lag in these specific scenarios.