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Research and application of estimate modeling on traffic volume

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5 Author(s)
Guoqiang Cai ; State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing ; Limin Jia ; Yuquan Jia ; Shi Li
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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.

Published in:

Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on  (Volume:2 )

Date of Conference:

12-15 Oct. 2008

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