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Temporal Fusion Transformers Model for Traffic Flow Prediction
Yuxuan Zhou (Hong Kong Polytechnic University)
DOI: 10.4108/eai.6-1-2023.2330350 (Engineering)
Licence : non indiquée (tous droits réservés)
Résumé : Temporal Fusion Transformers (TFT) is a Transformer model for multi-step forecasting tasks. Because TFT models can integrate decoders to import various types of inputs, including static covariates, known future inputs, and other exogenous time series observed only in the past, which are well perform
Publié le 01 Jan. 2023