Accurate traffic flow forecasting is crucial for managing and planning urban transportation systems. Despite the widespread use of sequence modelling models like Long Short-Term Memory (LSTM) for this ...

The Transformer architecture revolutionized NLP by replacing recurrent layers with attention mechanisms, enabling more efficient parallelization and better modeling of long-range dependencies. This ...

Specifically, RPConvformer has an encoding-decoding structure, in the sequence embedding module we adopt causal 1Dconvolution for capturing the local correlation of time series, the encoder module is ...