Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks
Joint Authors
Yanbing, Fu
Zhou, Wenliang
Li, Xia-Miao
Meiquan, Xie
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Short-term passenger flow forecasting is an important component of transportation systems.
The forecasting result can be applied to support transportation system operation and management such as operation planning and revenue management.
In this paper, a divide-and-conquer method based on neural network and origin-destination (OD) matrix estimation is developed to forecast the short-term passenger flow in high-speed railway system.
There are three steps in the forecasting method.
Firstly, the numbers of passengers who arrive at each station or depart from each station are obtained from historical passenger flow data, which are OD matrices in this paper.
Secondly, short-term passenger flow forecasting of the numbers of passengers who arrive at each station or depart from each station based on neural network is realized.
At last, the OD matrices in short-term time are obtained with an OD matrix estimation method.
The experimental results indicate that the proposed divide-and-conquer method performs well in forecasting the short-term passenger flow on high-speed railway.
American Psychological Association (APA)
Meiquan, Xie& Li, Xia-Miao& Zhou, Wenliang& Yanbing, Fu. 2014. Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1034646
Modern Language Association (MLA)
Meiquan, Xie…[et al.]. Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1034646
American Medical Association (AMA)
Meiquan, Xie& Li, Xia-Miao& Zhou, Wenliang& Yanbing, Fu. Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1034646
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034646