Litcius/Paper detail

Deep learning for short-term origin–destination passenger flow prediction under partial observability in urban railway systems

Wenhua Jiang, Zhenliang Ma, Haris N. Koutsopoulos

2022Neural Computing and Applications62 citationsDOI

Topics & Concepts

ObservabilityComputer scienceRobustness (evolution)Smart cardTerm (time)Representation (politics)Flow (mathematics)Deep learningArtificial intelligenceData miningMathematicsPolitical scienceChemistryLawGeometryBiochemistryPoliticsApplied mathematicsQuantum mechanicsGeneComputer hardwarePhysicsTraffic Prediction and Management TechniquesTransportation Planning and OptimizationHuman Mobility and Location-Based Analysis
Deep learning for short-term origin–destination passenger flow prediction under partial observability in urban railway systems | Litcius