Chaohan Zhong

A Dual-Graph Spatio-Temporal Network for Urban Rail Transit Ridership Prediction

To predict the multi-step urban rail transit passenger flow, we propose a dual-graph spatio-temporal network (DSGN). This network can perform station-level passenger flow prediction and is beneficial for real-time operation of the stations. Predicting multiple future time steps remains challenging due to complex spatia...