An Efficient Spike-Inspired Differential Attention Model for Traffic Flow Forecasting
Traffic flow forecasting is a fundamental task in intelligent transportation systems, and accurate multi-step prediction depends critically on effective modeling of both temporal dynamics and spatial dependencies within sensor networks. On the one hand, forecasting models must possess strong spatiotemporal interaction...