Wenfeng Zhou

ASTPKEFormer: Adaptive Spatiotemporal Prior Knowledge Embedding-Induced Transformers for Traffic Data Forecasting

Traffic forecasting is fundamentally challenging due to the complex and dynamic spatiotemporal dependencies inherent in road networks. Although existing prediction models are able to achieve certain results on this task, existing Transformer-based models usually rely on simple embedding strategies a