Railway Container Key Station Freight Volumes Prediction Based on Grey-Markov Chain Method

Building railway container key station can improve the capacity of railway container transportation and the level of transportation service. The forecast of container freight volumes is the foundation of construction, running, and evaluation of the key station. In this paper, the Grey Prediction Method GM (1,1) and Markov Prediction Method are combined to get the improved Grey-Markov Method, which is used to predict the development tendency of the railway container key station freight volumes.

• Record URL:
  https://doi.org/10.1061/41039(345)67
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Yu, Yang
  • Yang, Xuebin
  • Du, Wen
• Conference:
  • Second International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2009-7-25 to 2009-7-27
• Publication Date: 2009-7

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 404-409
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Containers; Freight trains; Railroad stations; Volume
• Subject Areas: Freight Transportation; Planning and Forecasting; Railroads; Terminals and Facilities; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01535608
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 1:45PM