OASIcs.ATMOS.2009.2144.pdf
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Scheduling Aircraft to Reduce Controller Workload
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Volume:
9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09)
Series: Open Access Series in Informatics (OASIcs)
Conference: Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication date: 2009-11-25
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Joondong Kim, Alexander Kroeller, and Joseph Mitchell. Scheduling Aircraft to Reduce Controller Workload. In 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09). Open Access Series in Informatics (OASIcs), Volume 12, pp. -12, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2009)
https://doi.org/10.4230/OASIcs.ATMOS.2009.2144
https://doi.org/10.4230/OASIcs.ATMOS.2009.2144
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.
Keywords
- Air Traffic Management
- trajectory scheduling
- flight plan scheduling
- no-wait job shop Air Traffic Management
- trajectory scheduling
- flight plan scheduling
- no-wait job shop
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