most citedMulti-graph convolutional network for short-term passenger flow forecasting in urban rail transit

133 citations · 148 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2020★ 15 cited

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★ 133 cited

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…