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

Biology

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