most citedShort-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method

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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-…