IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v92y2007i12p1686-1700.html
   My bibliography  Save this article

A SIL quantification approach based on an operating situation model for safety evaluation in complex guided transportation systems

Author

Listed:
  • Beugin, J.
  • Renaux, D.
  • Cauffriez, L.

Abstract

Safety analysis in guided transportation systems is essential to avoid rare but potentially catastrophic accidents. This article presents a quantitative probabilistic model that integrates Safety Integrity Levels (SIL) for evaluating the safety of such systems. The standardized SIL indicator allows the safety requirements of each safety subsystem, function and/or piece of equipment to be specified, making SILs pivotal parameters in safety evaluation. However, different interpretations of SIL exist, and faced with the complexity of guided transportation systems, the current SIL allocation methods are inadequate for the task of safety assessment. To remedy these problems, the model developed in this paper seeks to verify, during the design phase of guided transportation system, whether or not the safety specifications established by the transport authorities allow the overall safety target to be attained (i.e., if the SIL allocated to the different safety functions are sufficient to ensure the required level of safety). To meet this objective, the model is based both on the operating situation concept and on Monte Carlo simulation. The former allows safety systems to be formalized and their dynamics to be analyzed in order to show the evolution of the system in time and space, and the latter make it possible to perform probabilistic calculations based on the scenario structure obtained.

Suggested Citation

  • Beugin, J. & Renaux, D. & Cauffriez, L., 2007. "A SIL quantification approach based on an operating situation model for safety evaluation in complex guided transportation systems," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1686-1700.
    • Handle: RePEc:eee:reensy:v:92:y:2007:i:12:p:1686-1700
    DOI: 10.1016/j.ress.2006.09.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832006002201
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2006.09.022?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chai, Naijie & Zhou, Wenliang & Hu, Xinlei, 2022. "Safety evaluation of urban rail transit operation considering uncertainty and risk preference: A case study in China," Transport Policy, Elsevier, vol. 125(C), pages 267-288.
    2. Zhao, Xianqiong & Malasse, Olaf & Buchheit, Grégory, 2019. "Verification of safety integrity level of high demand system based on Stochastic Petri Nets and Monte Carlo Simulation," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 258-265.
    3. Kiswendsida Abel Ouedraogo & Julie Beugin & El‐Miloudi El‐Koursi & Joffrey Clarhaut & Dominique Renaux & Frederic Lisiecki, 2018. "Toward an Application Guide for Safety Integrity Level Allocation in Railway Systems," Risk Analysis, John Wiley & Sons, vol. 38(8), pages 1634-1655, August.
    4. Ding, Long & Wang, Hong & Kang, Kai & Wang, Kai, 2014. "A novel method for SIL verification based on system degradation using reliability block diagram," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 36-45.
    5. Feng, Zhichao & Zhou, Zhijie & Hu, Changhua & Ban, Xiaojun & Hu, Guanyu, 2020. "A safety assessment model based on belief rule base with new optimization method," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    6. De Rosa, Francesco & Cesoni, Raffaello & Genta, Stefano & Maggiore, Paolo, 2017. "Failure rate evaluation method for HW architecture derived from functional safety standards (ISO 19014, ISO 25119, IEC 61508)," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 124-133.

    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:92:y:2007:i:12:p:1686-1700. 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.