Title :
Research and application of estimate modeling on traffic volume
Author :
Cai, Guoqiang ; Jia, Limin ; Jia, Yuquan ; Li, Shi ; Gao, Junwei
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing
Abstract :
This paper proposes a China Railway Parcel traffic amount forecast model. The model can effectively solve the variable multiple correlation problem in the regression equation. Based on partial least squares regression, the prediction model of China Railway Parcel Traffic Volume was calculated. The model can effectively solve the variable multiple correlation problem.
Keywords :
correlation methods; forecasting theory; rail traffic; regression analysis; China railway parcel traffic volume estimate modeling; forecast model; partial least squares regression equation; variable multiple correlation problem; China Railway Parcel; Estimate model; traffic Volume;
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
DOI :
10.1109/SOLI.2008.4682766
