Modelling and Automated Analysis of Organisations from the Air Traffic Management Domain

  • Authors:

  • Alexei Sharpanskykh

  • Affiliations:

  • Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV

  • Venue:
  • IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
  • Year:
  • 2008

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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.