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Scheduling Aircraft to Reduce Controller Workload

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Abstract

We address a problem in air traffic management: scheduling flights in order to minimize the maximum number of aircraft that simultaneously lie within a single air traffic control sector at any time $t$. Since the problem is a generalization of the NP-hard no-wait job-shop scheduling, we resort to heuristics. We report experimental results for real-world flight data.

BibTeX - Entry

@InProceedings{kim_et_al:OASIcs:2009:2144,
  author =	{Joondong Kim and Alexander Kroeller and Joseph Mitchell},
  title =	{{Scheduling Aircraft to Reduce Controller Workload}},
  booktitle =	{9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09)},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-11-8},
  ISSN =	{2190-6807},
  year =	{2009},
  volume =	{12},
  editor =	{Jens Clausen and Gabriele Di Stefano},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2009/2144},
  URN =		{urn:nbn:de:0030-drops-21443},
  doi =		{http://dx.doi.org/10.4230/OASIcs.ATMOS.2009.2144},
  annote =	{Keywords: Air Traffic Management, trajectory scheduling, flight plan scheduling, no-wait job shop}
}

Keywords: Air Traffic Management, trajectory scheduling, flight plan scheduling, no-wait job shop
Freie Schlagwörter (englisch): Air Traffic Management, trajectory scheduling, flight plan scheduling, no-wait job shop
Seminar: 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09)
Issue date: 2009
Date of publication: 2009


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