Multi-Graph Convolutional Network for Short-Term Passenger Flow Forecasting in Urban Rail Transit

no code implementations • 1 Jan 2020 • Jinlei Zhang, Feng Chen, Yinan Guo

Short-term passenger flow forecasting is a crucial task in the operation of urban rail transit.

Physics and Society

Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit

1 code implementation • 29 Dec 2019 • Jinlei Zhang, Feng Chen, Zhiyong Cui, Yinan Guo, Yadi Zhu

Finally, ResLSTM is applied to the Beijing subway using three time granularities (10, 15, and 30 min) to conduct short-term passenger flow forecasting.