Towards an Autonomous and Intelligent Airline Operations Control

Studies have estimated that irregular operations (flights affected by a disruption) can cost between 2% and 3% of the airline annual revenue and that a better recovery process could result in cost reductions of at least 20%. Even for small airlines this can represent millions of Euros. In this paper the authors propose a multi-agent system (MAS) whose members represent the roles, functionalities and competences existing in a typical Airline Operations Control Centre (AOCC), the airline entity responsible for managing the impact of irregular events on planned operations. This multiagent based system produces intelligent solutions in the sense that its outcomes are the result of an autonomous reaction and adaption to changes in the environment, solving partial problems simultaneously. The authors tested the MAS using real data from TAP Portuguese airline company and experimentally compared the system with solutions found by the human operators on TAP Portugal AOCC. A comparison was also made with a more traditional sequential approach that is the typical method followed by AOCCs when solving disruptions. Results from those comparisons show that it is possible to reduce costs and have a better integrated solution with the proposed system.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 1429-1434
  • Monograph Title: 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012)

Subject/Index Terms

Filing Info

  • Accession Number: 01568183
  • Record Type: Publication
  • ISBN: 9781467330640
  • Files: TRIS
  • Created Date: Jun 26 2015 5:12PM