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H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty

Zhiju Chen, Kai Liu, Jiangbo Wang, Toshiyuki Yamamoto

2022Transportation Research Part C Emerging Technologies34 citationsDOI

Topics & Concepts

Computer sciencePartition (number theory)Range (aeronautics)Demand forecastingArtificial intelligenceMachine learningPredictive modellingOn demandData miningOperations researchMathematicsEngineeringAerospace engineeringMultimediaCombinatoricsTraffic Prediction and Management TechniquesTransportation Planning and OptimizationTransportation and Mobility Innovations
H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty | Litcius