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A structural state space model for real-time traffic origin–destination demand estimation and prediction in a day-to-day learning framework

Traffic TheoryEngineeringData ScienceTransportation ModelingTraffic PredictionPredictive AnalyticsDemand ForecastingTransportation Systems ModelingTraffic ModelSystems EngineeringDay-to-day Learning FrameworkTransportation Systems AnalysisForecastingTransportation SystemsOperations Research