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== Abstract ==
Multi-Aircraft Conflict Resolution (MACR) is a Multi-Criteria Decision-Making (MCDM) problem, which involves multiple stakeholders (airline, air traffic controller, and aircraft) with competing and incommensurable objectives. This paper proposes a two-step MCDM scheme to the solution of MACR. In the first step, a second order cone program is adopted to generate a set of candidate resolution strategies with different minimum separations between trajectories. Each candidate strategy is then evaluated via three criteria modeling the interests of the stakeholders. In the second step, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach is used to determine the best strategy that realizes an adequate tradeoff among the competing interests while coping with their incommensurability. Some numerical results are presented to show the efficacy of the proposed scheme. Interestingly, the minimum separations associated with the best resolution strategies according to either the interest of the airline or that of the aircraft both differ from the one adopted in the current air traffic control operation.
== Original document ==
The different versions of the original document can be found in:
* [http://hdl.handle.net/11311/1030745 http://hdl.handle.net/11311/1030745]
* [https://doi.org/10.1016/j.ifacol.2017.08.2496 https://doi.org/10.1016/j.ifacol.2017.08.2496]
* [https://api.elsevier.com/content/article/PII:S2405896317334146?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S2405896317334146?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S2405896317334146?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S2405896317334146?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.ifacol.2017.08.2496 http://dx.doi.org/10.1016/j.ifacol.2017.08.2496] under the license https://www.elsevier.com/tdm/userlicense/1.0/
* [https://www.sciencedirect.com/science/article/pii/S2405896317334146 https://www.sciencedirect.com/science/article/pii/S2405896317334146],
: [https://re.public.polimi.it/handle/11311/1030745 https://re.public.polimi.it/handle/11311/1030745],
: [https://academic.microsoft.com/#/detail/2765217118 https://academic.microsoft.com/#/detail/2765217118]
Return to Yang et al 2017d.
Published on 01/01/2017
Volume 2017, 2017
DOI: 10.1016/j.ifacol.2017.08.2496
Licence: Other
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