IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v261y2025ics0951832025002467.html
   My bibliography  Save this article

Simulation supported Bayesian network approach for performance assessment of complex infrastructure systems

Author

Listed:
  • Songhori, Mohsen Jafari
  • Fecarotti, Claudia
  • van Houtum, Geert-Jan

Abstract

With increasing traffic demand, aging infrastructure and higher user expectations, bridge network managers seek tools by which they can maintain the normal service of bridge networks. This paper presents a novel modeling framework for assessing the dependability and performance of bridge transportation networks to support maintenance decisions that balance both owner and user perspectives. Bridge conditions, characterized by their residual capacity, directly impact network travel times. This relationship necessitates extending beyond traditional binary state representations to consider multiple performance and service levels. We adopt expected travel time as a key indicator of network availability, requiring multistate modeling approaches. However, the combination of multistate modeling and complex network interdependencies makes performance assessment particularly challenging.

Suggested Citation

  • Songhori, Mohsen Jafari & Fecarotti, Claudia & van Houtum, Geert-Jan, 2025. "Simulation supported Bayesian network approach for performance assessment of complex infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 261(C).
    • Handle: RePEc:eee:reensy:v:261:y:2025:i:c:s0951832025002467
    DOI: 10.1016/j.ress.2025.111045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832025002467
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2025.111045?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.

    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:eee:reensy:v:261:y:2025:i:c:s0951832025002467. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.