MOVING CLOSER TO PERFORMANCE-BASED TRACK GEOMETRY INSPECTION

This article reports on preliminary steps for development of a "black box," which will generate real-time, performance-based information about track geometry. It can be used to predict how certain types of vehicles will perform under specified track conditions. That would enable better targeting of repairs and re-designs and prevent de- railments. Hoppers, tank cars and coal gondolas were observed to create a database to develop a neural network of vehicle/track interactions as another part of the effort to predict relations between tracks and specific vehicles.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1763403
• Corporate Authors:

  Simmons-Boardman Publishing Corporation

  345 Hudson Street
  New York, NY  United States  10014
• Authors:
  • Li, Duo
  • Hass, K
  • Meddah, A
• Publication Date: 2002-6

Language

• English

Media Info

• Features: Figures; Photos;
• Pagination: p. 15-17
• Serial:
  • Railway Track and Structures
  • Volume: 98
  • Issue Number: 6
  • Publisher: Simmons-Boardman Publishing Corporation
  • ISSN: 0033-9016

Subject/Index Terms

• TRT Terms: Databases; Geometry; Inspection; Maintenance of way; Neural networks; Performance based specifications; Railroad tracks; Real time information; Software; Train track dynamics
• Subject Areas: Maintenance and Preservation; Railroads;

Filing Info

• Accession Number: 00927413
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: BTRIS, TRIS
• Created Date: Jul 31 2002 12:00AM