Multi-sequence spatio-temporal feature fusion network for peak-hour passenger flow prediction in urban rail transit

Abstract

This research addresses the challenge of predicting URT station passenger flow during peak hour. The Multi-Sequence Spatio-Temporal Feature Fusion Network Model (MSSTFFN) based on trend decompositi...