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Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow

Wenbo Lu, Yong Zhang, Peikun Li, Ting Wang

2023Engineering Applications of Artificial Intelligence28 citationsDOI

Topics & Concepts

GranularityComputer scienceResidualData miningFlow (mathematics)Urban rail transitMean squared errorProcess (computing)Term (time)Real-time computingAlgorithmArtificial intelligenceStatisticsMathematicsOperating systemQuantum mechanicsCivil engineeringGeometryEngineeringPhysicsTraffic Prediction and Management TechniquesHuman Mobility and Location-Based AnalysisTransportation Planning and Optimization
Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow | Litcius