SASTFormer: a traffic flow prediction method based on spatial-temporal multi-head self-attention mechanism fusion
Accurately anticipating traffic volume is essential for optimizing navigation routes, lowering fuel usage, and enhancing overall travel efficiency. However, current spatiotemporal fusion techniques often neglect how distant nodes affect local traffic conditions and fail to capture long-sequence temporal dependencies. T...