Big Data Yields Big Results

This article discusses the development of algorithmic technology that uses big data to predict rail maintenance needs. Track geometry systems have the potential to transform maintenance-of-way operations; when combined with onboard analysis systems, these systems can offer insight into the rolling stock dynamics of rail track. The article profiles the work being done by several companies to develop and implement state-of-the-art track geometry technology.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1586268
• Authors:
  • Chirls, Stuart
• Publication Date: 2017-4

Language

• English

Media Info

• Media Type: Print
• Features: Photos;
• Pagination: pp 49-51
• Serial:
  • Railway Age
  • Volume: 218
  • Issue Number: 4
  • Publisher: Simmons-Boardman Publishing Corporation
  • ISSN: 0033-8826
  • Serial URL: http://www.railwayage.com

Subject/Index Terms

• TRT Terms: Algorithms; Data collection; Maintenance of way; Rolling contact; Technological innovations; Train track dynamics
• Uncontrolled Terms: Track geometry
• Subject Areas: Data and Information Technology; Maintenance and Preservation; Planning and Forecasting; Railroads;

Filing Info

• Accession Number: 01636667
• Record Type: Publication
• Files: TRIS
• Created Date: May 30 2017 8:23AM