IDEAS home Printed from https://ideas.repec.org/a/taf/tjrtxx/v9y2021i4p380-404.html
   My bibliography  Save this article

A robust complementary index for railway maintenance planning based on a probabilistic approach

Author

Listed:
  • Fatemeh Janatabadi
  • Saeed Mohammadzadeh
  • Mehrdad Nouri

Abstract

A probabilistic Track Performance Index (TPI) is proposed for maintenance prioritization in the railways. TPI evaluates the safety condition in a segment by estimating the derailment probabilities on curves as the track condition representatives. Via Reliability analysing methods and considering track geometry and irregularities, vehicle characteristics, and speed, derailment probability for a segment of the track can be estimated as its TPI. For comparing the performance of different blocks, the higher the TPI, the more critical the safety situation. The method is illustrated through three case studies, and the comparisons between the TPI and deterministic Track Quality Index (TQI) indicate that the probabilistic TPI identifies curves with a high risk of failure that TQI fails to detect. The results indicate applying TQI solely is biased, and TPI can overcome this shortage. Hence, it is suggested that TPI should be used alongside TQI as a complement for more reliable maintenance planning.

Suggested Citation

  • Fatemeh Janatabadi & Saeed Mohammadzadeh & Mehrdad Nouri, 2021. "A robust complementary index for railway maintenance planning based on a probabilistic approach," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 9(4), pages 380-404, July.
    • Handle: RePEc:taf:tjrtxx:v:9:y:2021:i:4:p:380-404
    DOI: 10.1080/23248378.2020.1805371
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23248378.2020.1805371
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23248378.2020.1805371?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjrtxx:v:9:y:2021:i:4:p:380-404. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjrt20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.