Short-term prediction of passenger volume for urban rail systems: A deep learning approach based on smart-card data
Xin Yang, Qiuchi Xue, Meiling Ding, Jianjun Wu, Ziyou Gao
Topics & Concepts
Computer scienceUrban rail transitVolume (thermodynamics)Autoregressive integrated moving averageTerm (time)BeijingAutoregressive modelSmart cardArtificial neural networkBig dataOperations researchTransport engineeringReal-time computingArtificial intelligenceData miningTime seriesMachine learningEngineeringEconometricsGeographyArchaeologyPhysicsChinaEconomicsQuantum mechanicsComputer hardwareTraffic Prediction and Management TechniquesTransportation Planning and OptimizationHuman Mobility and Location-Based Analysis