Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing plan development

Transportation Research Part C: Emerging Technologies(2018)

引用 56|浏览27
暂无评分
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.
更多
查看译文
关键词
PSO-ELM,GARCH,Kalman filter,Prediction interval,Reliability,Sharpness,Staffing plan,Waiting time,Uncertainty
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要