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Advances in Operations Research
Volume 2010, Article ID 436765, 21 pages
http://dx.doi.org/10.1155/2010/436765
Research Article

A Runway Configuration Management Model with Marginally Decreasing Transition Capacities

1Department of Mathematical Sciences, United States Military Academy, West Point, NY 10996-1786, USA
2Computational Operations Research, College of William and Mary, Williamsburg, VA 23187-8795, USA
3Department of Mathematics, College of William and Mary, Williamsburg, VA 23187-8795, USA

Received 29 July 2010; Revised 8 October 2010; Accepted 10 November 2010

Academic Editor: Shangyao Yan

Copyright © 2010 Christopher Weld et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Technology Pathways, Assessing the Integrated Plan for a Next Generation Air Transportation System, The National Academies Press, Washington, DC, USA, 2005.
  2. A. M. Churchill, D. J. Lovell, and M. O. Ball, “Evaluating a new formulation for large-scale traffic flow management,” in Proceedings of the 8th USA/Europe Air Traffic Seminar (ATM '09), Napa, Calif, USA, June 2009.
  3. G. Lulli, D. Bertsimas, and A. Odoni, “The air traffic flow management problem: an Integer optimization approach, in integer programming and combinatorial optimization, integer programming and combinatorial optimization,” in Proceedings of the 13th International Conference of Integer Programming and Combinatorial Optimization (IPCO '08), vol. 5035 of LNCS, pp. 34–46, Bertino, Italy, May 2008.
  4. H. Idris, D. Delahaye, and D. Wing, “Distributed trajectory flexibility preservation for traffic complexity mitigation,” in Proceedings of the 8th USA/Europe Air Traffic Seminar (ATM '09), Napa, Calif, USA, June 2009.
  5. J.-P. B. Clarke, S. Solak, Y.-H. Chang, L. Ren, and A. E. Vela, “Air traffic flow management in the presence of uncertainty,” in Proceedings of the 8th USA/Europe Air Traffic Seminar (ATM '09), Napa, Calif, USA, June 2009.
  6. A. Mukherjee and M. Hansen, “A dynamic rerouting model for air traffic flow management,” Transportation Research Part B: Methodological, vol. 43, no. 1, pp. 159–171, 2009. View at Publisher · View at Google Scholar
  7. S. Ahmad Beygi, A. Cohn, and M. Lapp, “Decreasing airline delay propagation by re-allocating scheduled slack,” Fuel, vol. 28, pp. 3–296, 2008. View at Google Scholar
  8. J. A. D. Atkin, E. K. Burke, J. S. Greenwood, and D. Reeson, “On-line decision support for take-off runway scheduling with uncertain taxi times at London Heathrow airport,” Journal of Scheduling, vol. 11, no. 5, pp. 323–346, 2008. View at Publisher · View at Google Scholar
  9. S. Atkins, “Observation and measurement of metroplex phenomena,” in Proceedings of the IEEE/AIAA 27th Digital Avionics Systems Conference (DASC '08), pp. E3–E21, October 2008. View at Publisher · View at Google Scholar
  10. M. Frankovich, D. Bertsimas, and A. Odoni, “Optimal selection of airport runway configurations,” in Proceedings of the INFORMS Annual Meeting, San Diego, Calif, USA, October 2009.
  11. G. W. Lohr and D. M. Williams, “Current Practices in Runway Configuration Management (RCM) and Arrival/Departure Runway Balancing (ADRB),” NASA Technical Memorandum NASA/TM-2008-215557, 2008.
  12. J. A. D. Atkin, E. K. Burke, J. S. Greenwood, and D. Reeson, “The effect of the planning horizon and the freezing time on take-off sequencing,” in Proceedings of 2nd International Conference on Research in Air Transportation (ICRAT '06), Citeseer, Belgrade, Serbia, June 2006.
  13. J.-B. Gotteland, R. Deau, and N. Durand, “Airport surface management and runways scheduling,” in Proceedings of the 8th USA/Europe Air Traffic Seminar (ATM '09), Napa, Calif, USA, June 2009.
  14. R. De Neufville and A. R. Odoni, Airport Systems: Planning, Design, and Management, McGraw-Hill, New York, NY, USA, 2003.
  15. The Sciclone Cluster Project, “Heterogeneous Cluster Computing System, College of William and Mary,” Williamsburg, Va, USA, http://www.hpc.wm.edu/SciClone/index.html.
  16. Aviation System Performance Metrics, “FAA databases,” JFK Airport, NY, USA, January 2005, http://aspm.faa.gov.