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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, Wei Ma, Zhengbing He

2021Transportation Research Part C Emerging Technologies162 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceInterpretabilityConvolutional neural networkChannel (broadcasting)Term (time)Traffic flow (computer networking)InflowData miningFeature (linguistics)Artificial intelligenceMachine learningPhilosophyComputer securityMechanicsPhysicsComputer networkQuantum mechanicsLinguisticsTraffic Prediction and Management TechniquesTransportation Planning and OptimizationHuman Mobility and Location-Based Analysis
Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method | Litcius