Predictive Diagnostics for Bus Maintenance

This project is designed to develop an efficient method to provide maintenance and operations managers with routine bus performance information to enhance the scheduling of maintenance, improve technician performance, and reduce maintenance turnaround time. By developing a method to capture bus performance information at a common node data port, this project seeks to identify bus maintenance tools and technology for improved diagnostics and troubleshooting. By improving diagnostic tools available to the technician, it is logical to expect a reduction in both unscheduled maintenance and maintenance and support costs.


  • English


  • Status: Active
  • Contract Numbers:

    Project J-04, IDEA 3

  • Sponsor Organizations:

    Federal Transit Administration

    1200 New Jersey Avenue, SE
    Washington, DC  USA  20590

    Transit Cooperative Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC    20001
  • Project Managers:

    Parker, Stephan

  • Performing Organizations:

    Georgia Tech Research Institute, Atlanta

    Aerospace and Transportation Lab
    Atlanta, GA  USA  30332-0844
  • Principal Investigators:

    O'Neill, Gary

  • Start Date: 20020307
  • Actual Completion Date: 20030106
  • Source Data: RiP Project 7562

Subject/Index Terms

Filing Info

  • Accession Number: 01459281
  • Record Type: Research project
  • Source Agency: Transit Cooperative Research Program
  • Contract Numbers: Project J-04, IDEA 3
  • Files: RiP, USDOT
  • Created Date: Jan 3 2013 1:00PM