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A safety assessment methodology applied to CNS/ATM-based air traffic control system

Author

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  • Flavio Vismari, Lucio
  • Camargo Junior, João Batista

Abstract

In the last decades, the air traffic system has been changing to adapt itself to new social demands, mainly the safe growth of worldwide traffic capacity. Those changes are ruled by the Communication, Navigation, Surveillance/Air Traffic Management (CNS/ATM) paradigm , based on digital communication technologies (mainly satellites) as a way of improving communication, surveillance, navigation and air traffic management services. However, CNS/ATM poses new challenges and needs, mainly related to the safety assessment process. In face of these new challenges, and considering the main characteristics of the CNS/ATM, a methodology is proposed at this work by combining “absolute†and “relative†safety assessment methods adopted by the International Civil Aviation Organization (ICAO) in ICAO Doc.9689 [14], using Fluid Stochastic Petri Nets (FSPN) as the modeling formalism, and compares the safety metrics estimated from the simulation of both the proposed (in analysis) and the legacy system models. To demonstrate its usefulness, the proposed methodology was applied to the “Automatic Dependent Surveillance-Broadcasting†(ADS-B) based air traffic control system. As conclusions, the proposed methodology assured to assess CNS/ATM system safety properties, in which FSPN formalism provides important modeling capabilities, and discrete event simulation allowing the estimation of the desired safety metric.

Suggested Citation

  • Flavio Vismari, Lucio & Camargo Junior, João Batista, 2011. "A safety assessment methodology applied to CNS/ATM-based air traffic control system," Reliability Engineering and System Safety, Elsevier, vol. 96(7), pages 727-738.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:7:p:727-738
    DOI: 10.1016/j.ress.2011.02.007
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    References listed on IDEAS

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    1. Felici, Massimo, 2006. "Capturing emerging complex interactions: Safety analysis in air traffic management," Reliability Engineering and System Safety, Elsevier, vol. 91(12), pages 1482-1493.
    2. Ghostine, Rony & Thiriet, Jean-Marc & Aubry, Jean-François, 2011. "Variable delays and message losses: Influence on the reliability of a control loop," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 160-171.
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    Cited by:

    1. Syd Ali, Busyairah & Majumdar, Arnab & Ochieng, Washington Yotto & Schuster, Wolfgang & Chiew, Thiam Kian, 2015. "A causal factors analysis of aircraft incidents due to radar limitations: The Norway case study," Journal of Air Transport Management, Elsevier, vol. 44, pages 103-109.
    2. Jiawen Tang & Di Wang & Wei Ye & Bing Dong & Huijuan Yang, 2022. "Safety Risk Assessment of Air Traffic Control System Based on the Game Theory and the Cloud Matter Element Analysis," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    3. Ali, Busyairah Syd, 2016. "System specifications for developing an Automatic Dependent Surveillance-Broadcast (ADS-B) monitoring system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 15(C), pages 40-46.
    4. 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).

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