Full Content is available to subscribers

Subscribe/Learn More  >

A Study of a Railway Traffic Demand Forecasting Model Based on Influencing Factor Analysis

[+] Author Affiliations
M. S. Ma, J. Liu, C. Y. Li

Beijing Jiaotong University, Beijing, China

Y. X. Ma

China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan, China

Paper No. JRC2010-36249, pp. 553-559; 7 pages
  • 2010 Joint Rail Conference
  • 2010 Joint Rail Conference, Volume 2
  • Urbana, Illinois, USA, April 27–29, 2010
  • Conference Sponsors: Rail Transportation Division
  • ISBN: 978-0-7918-4907-1 | eISBN: 978-0-7918-3867-9
  • Copyright © 2010 by ASME


This paper introduced a model for the railway traffic demand prediction based on the analysis of the influencing factors over short-term passenger flow. The proposed prediction includes two parts, one for the relatively stable trend, named the basic flow forecasting, and the other for the fluctuations induced by short-term factors, named induced flow forecasting. The prediction model of the overall passenger volume utilizes the summation of the two parts. The experiments with real data demonstrate that the proposed model is effective in improving the accuracy of the prediction.

Copyright © 2010 by ASME
Topics: Railroads , Traffic



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In