Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting

Abstract Traffic forecasting is a challenging problem due to the complexity of jointly modeling spatio‐temporal dependencies at different scales. Recently, several hybrid deep learning models have been developed to capture such dependencies. These approaches typically utilize convolutional neural ne... View More