Journal of Intelligent Learning Systems and Applications · 2013 · 11 citations · 1 references
EngineeringCivil EngineeringTransportation PlanningForecastingTransportationTransportation EngineeringNeural NetworksPassenger TransportTraffic Flow AnalysisTraffic Flow TheoryTransport ModelingTransport ModellingComparative Data AnalysisEmpirical PredictionNeural Network PredictionNeural Time Series ForecastingTraffic Flow ForecastingTraffic Flow Prediction
This paper studies the short-term prediction methods of sectional passenger flow, and selects BP neural network combined with the characteristics of sectional passenger flow itself. With a case study, we design three different schemes. We use Matlab to realize the prediction of the sectional passenger flow of the Beijing subway Line 2 and make comparative analysis. The empirical research shows that combining data characteristics of sectional passenger flow with the BP neural network have good prediction accuracy.
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Learning representations by back-propagating errors
David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 30.9K citations