Staf: Convolutional Spatio-Temporal Transformer Architecture Based on Augmented Feature Learning for Traffic Flow Forecasting
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Publisher
Elsevier BV
Reference53 articles.
1. A novel hybrid framework based on temporal convolution network and transformer for network traffic prediction;Z Zhang;Plos one,2023
2. A transformer model for learning spatiotemporal contextual representation in fmri data;N Asadi;Network Neuroscience,2023
3. Interpretable spatiotemporal deep learning model for traffic flow prediction based on potential energy fields;J Ji;2020 IEEE International Conference on Data Mining (ICDM),2020
4. Fastnn: A deep learning approach for traffic flow prediction considering spatiotemporal features;Q Zhou;Sensors,2022
5. A deep learning approach for long-term traffic flow prediction with multifactor fusion using spatiotemporal graph convolutional network;X Qi;IEEE Transactions on Intelligent Transportation Systems,2022
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