A short-term metro passenger-flow forecasting method based on data preprocessing and multi-factor spatial correlation
Accurate modeling of spatial dependencies is essential for short-term metro passenger-flow forecasting. However, relationships other than physical adjacency are difficult to represent in a graph and to incorporate into graph convolution. This paper therefore proposes BC-MGCN-DEGRU, a neural forecasting model that integ...