2 papers
eess.SP2020
Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method
Jinlei Zhang, Hongshu Che, Feng Chen +2
Short-term origin-destination (OD) flow prediction in urban rail transit (URT) plays a crucial role in smart and real-time URT operation and management. Different from other short-…
physics.soc-ph2020
Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
Jinlei Zhang, Feng Chen, Yinan Guo +1
Short-term passenger flow forecasting is a crucial task for urban rail transit operations. Emerging deep-learning technologies have become effective methods used to overcome this p…