OASIcs.ATMOS.2009.2144.pdf
- Filesize: 205 kB
- 12 pages
Document
Scheduling Aircraft to Reduce Controller Workload
Authors
-
Part of:
Volume:
9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09) (ATMOS 2009)
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
Cite As Get BibTex
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
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.
Subject Classification
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
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads