Grey Markov Model Railway Overload Predictions

Aiming at the characteristics of overload prediction of a small amount of data, a large amount of random, complex factors using grey prediction and Markov prediction in combination forecasting method is proposed, the grey Markov prediction of an overload. The method uses the grey prediction model establishment of overloading of historical information and, according to the results of the overloading, is divided into a number of states according to a Markov model established to predict the status transfer model. Prediction accuracy can be assisted as a result of the detection analysis method.

• Record URL:
  • https://doi.org/10.1061/9780784413753.053
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413753
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Huang, Xingjian
  • Tang, Cheng
• Conference:
  • 2014 International Conference of Logistics Engineering and Management (ICLEM)
  • Location: Shanghai , China
  • Date: 2014-10-9 to 2014-10-11
• Publication Date: 2014-9

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 349-354
• Monograph Title: ICLEM 2014: System Planning, Supply Chain Management, and Safety

Subject/Index Terms

• TRT Terms: Forecasting; Markov processes; Mathematical prediction; Railroads
• Uncontrolled Terms: Grey models; Overloads
• Subject Areas: Planning and Forecasting; Railroads; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01540924
• Record Type: Publication
• ISBN: 9780784413753
• Files: TRIS, ASCE
• Created Date: Oct 15 2014 12:01PM