Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing plan development
Transportation Research Part C: Emerging Technologies(2018)
摘要
•A hybrid PSO-ELM model is improved for interval prediction of short-term traffic.•The reliability and sharpness of the prediction intervals are considered.•The improved PSO-ELM model is compared with five other models.•A comprehensive optimal staffing plan development framework is proposed.•Performances of staffing plans from prediction intervals and point predictions are compared.
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关键词
PSO-ELM,GARCH,Kalman filter,Prediction interval,Reliability,Sharpness,Staffing plan,Waiting time,Uncertainty
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