Case-based reasoning for flight conflicts resolution in En-route short term conflict alert situation
Date
2015
Authors
Liang, M.
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Journal article
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Open Automation and Control Systems Journal, 2015; 7(1):84-92
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Abstract
This paper introduces a knowledge-driven approach for solving short range conflicts in En-route STCA situation in order to assist the air traffic controller to handle emergency and ensure the safety. In stead of applying classic conflict resolution approach, case-based reasoning theory and technology is used to transfer the controllers’ knowledge and experience to automate conflict resolution. Firstly on the basis of analysis of the controllers’ conflict resolution knowledge with domain experts, a description of case is well established in a structural framework which has two layers, the first layer with 4 Slot features and the second layer with 19 Side features. Secondly, in case retrieval, the source cases are firstly filtered against constraint parameters then a nearest neighbour algorithm and global similarity measure based approach is applied to calculate the degree of similarity between the target case and the source cases. Finally, two scenario tests are designed to verify the performance of CBR-based conflict resolution model. The results indicate that this method is consistent with the solutions recommended by air traffic control experts and has a good effect in application.
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Copyright 2015 Man Liang; Licensee Bentham Open. This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. (http://creativecommons.org/licenses/by-nc/4.0/)