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, this chapter introduces an automated approach for modelling and analysis of complex ATOs. The developed model incorporates all important structural and behavioural aspects of an ATO. The approach is illustrated by a case study in which ATO’s tasks related to movement of aircraft on the ground and to safety occurrence reporting are considered.
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Sharpanskykh, A. (2009). Agent-Based Modelling and Analysis of Air Traffic Organisations. In: Nguyen, N.T., Szczerbicki, E. (eds) Intelligent Systems for Knowledge Management. Studies in Computational Intelligence, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04170-9_11
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DOI: https://doi.org/10.1007/978-3-642-04170-9_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04169-3
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