Abstract
A modern Air Traffic Organisation (ATO) represents a complex organisation that involves many parties with diverse goals performing for a wide range of tasks. Due to the structural and behavioural complexity of ATOs, mistakes and performance problems are not rare in such organisations. Some of these faults may seriously affect safety, causing incidents. Therefore, the possibility to perform detailed and reliable analysis is of primary importance for ATOs. To this end, the paper introduces an automated approach for modelling and analysis of complex ATOs. The developed model incorporates all important structural and behavioural aspects of an ATO.
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References
Bosse, T., Jonker, C.M., van der Meij, L., Treur, J.: A Language and Environment for Analysis of Dynamics by Simulation. International Journal of Artificial Intelligence Tools 16, 435–464 (2007)
Bosse, T., Jonker, C.M., van der Meij, L., Sharpanskykh, A., Treur, J.: Specification and Verification of Dynamics in Cognitive Agent Models. In: Proceedings of the 6th Int. Conf. on Intelligent Agent Technology, IAT 2006, pp. 247–255. IEEE Computer Society Press, Los Alamitos (2006)
Eurocontrol: Air navigation system safety assessment methodology. SAF.ET1.ST03.1000-MAN-01, edition 2.0 (2004)
Le Coze, J.: Are organizations too complex to be integrated in technical risk assessment and current safety auditing? Safety Science 43, 613–638 (2005)
Reason, J., Hollnagel, E., Paries, J.: Revisiting the Swiss cheese model of accidents. Eurocontrol, EEC Note no. 13/06 (2006)
Sharpanskykh, A.: On Computer-Aided Methods for Modeling and Analysis of Organizations. PhD Dissertation. Vrije Universiteit Amsterdam (2008)
Stroeve, S.H., Blom, H.A.P., Bakker, G.J.: Safety risk impact analysis of an ATC runway incursion alert system, Eurocontrol Safety R&D Seminar, Barcelona (2006)
Stroeve, S.H., Blom, H.A.P., Van der Park, M.N.J.: Multi-agent situation awareness error evolution in accident risk modelling. In: Proceedings of 5th ATM R&D Seminar, pp. 410–420 (2003)
Stroeve, S.H., Sharpanskykh, A, Blom H.A.P.: Organizational safety modelling and analysis of an air traffic application: Eurocontrol CARE Innovative research III. National Aerospace Laboratory NLR, report CR-2007-457 (2007)
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Sharpanskykh, A. (2008). Modelling and Automated Analysis of Organisations from the Air Traffic Management Domain. In: Nguyen, N.T., Borzemski, L., Grzech, A., Ali, M. (eds) New Frontiers in Applied Artificial Intelligence. IEA/AIE 2008. Lecture Notes in Computer Science(), vol 5027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69052-8_68
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DOI: https://doi.org/10.1007/978-3-540-69052-8_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69045-0
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