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Scheduling aircraft landings at London Heathrow using a population heuristic

Author

Listed:
  • J E Beasley

    (Imperial College of Science, Technology and Medicine)

  • J Sonander

    (National Air Traffic Services)

  • P Havelock

    (Civil Aviation Authority)

Abstract

With increasing levels of air traffic, making effective use of limited airport capacity is obviously important. This paper reports on an investigation undertaken by National Air Traffic Services in the UK into improving runway utilisation at London Heathrow. This investigation centred on developing an algorithm for improving the scheduling of aircraft waiting to land. The heuristic algorithm developed (a population heuristic) is discussed and results presented using actual operational data relating to aircraft landings at London Heathrow. This data indicates that our algorithm could have improved on air traffic control decisions in such cases by between 2–5 % in terms of reducing the timespan required to land all of the aircraft considered.

Suggested Citation

  • J E Beasley & J Sonander & P Havelock, 2001. "Scheduling aircraft landings at London Heathrow using a population heuristic," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(5), pages 483-493, May.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:5:d:10.1057_palgrave.jors.2601129
    DOI: 10.1057/palgrave.jors.2601129
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    Citations

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    Cited by:

    1. Julia Bennell & Mohammad Mesgarpour & Chris Potts, 2013. "Airport runway scheduling," Annals of Operations Research, Springer, vol. 204(1), pages 249-270, April.
    2. Jason A. D. Atkin & Edmund K. Burke & John S. Greenwood & Dale Reeson, 2009. "An examination of take-off scheduling constraints at London Heathrow airport," Public Transport, Springer, vol. 1(3), pages 169-187, August.
    3. Soomer, M.J. & Franx, G.J., 2008. "Scheduling aircraft landings using airlines' preferences," European Journal of Operational Research, Elsevier, vol. 190(1), pages 277-291, October.
    4. Marie-Sklaerder Vié & Nicolas Zufferey & Roel Leus, 2022. "Aircraft landing planning under uncertain conditions," Journal of Scheduling, Springer, vol. 25(2), pages 203-228, April.
    5. Ahmed Ghoniem & Hanif D. Sherali & Hojong Baik, 2014. "Enhanced Models for a Mixed Arrival-Departure Aircraft Sequencing Problem," INFORMS Journal on Computing, INFORMS, vol. 26(3), pages 514-530, August.
    6. Samà, Marcella & D’Ariano, Andrea & D’Ariano, Paolo & Pacciarelli, Dario, 2017. "Scheduling models for optimal aircraft traffic control at busy airports: Tardiness, priorities, equity and violations considerations," Omega, Elsevier, vol. 67(C), pages 81-98.
    7. A R Brentnall & R C H Cheng, 2009. "Some effects of aircraft arrival sequence algorithms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 962-972, July.
    8. Jianan Yin & Yuanyuan Ma & Yuxin Hu & Ke Han & Suwan Yin & Hua Xie, 2021. "Delay, Throughput and Emission Tradeoffs in Airport Runway Scheduling with Uncertainty Considerations," Networks and Spatial Economics, Springer, vol. 21(1), pages 85-122, March.
    9. J E Beasley & M Krishnamoorthy & Y M Sharaiha & D Abramson, 2004. "Displacement problem and dynamically scheduling aircraft landings," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 54-64, January.
    10. Beasley, J. E., 2004. "A population heuristic for constrained two-dimensional non-guillotine cutting," European Journal of Operational Research, Elsevier, vol. 156(3), pages 601-627, August.
    11. Jason A. D. Atkin & Edmund K. Burke & John S. Greenwood & Dale Reeson, 2007. "Hybrid Metaheuristics to Aid Runway Scheduling at London Heathrow Airport," Transportation Science, INFORMS, vol. 41(1), pages 90-106, February.
    12. Hancerliogullari, Gulsah & Rabadi, Ghaith & Al-Salem, Ameer H. & Kharbeche, Mohamed, 2013. "Greedy algorithms and metaheuristics for a multiple runway combined arrival-departure aircraft sequencing problem," Journal of Air Transport Management, Elsevier, vol. 32(C), pages 39-48.
    13. Dixit, Aasheesh & Jakhar, Suresh Kumar, 2021. "Airport capacity management: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    14. Anna Kwasiborska & Jacek Skorupski, 2021. "Assessment of the Method of Merging Landing Aircraft Streams in the Context of Fuel Consumption in the Airspace," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    15. Bennell, Julia A. & Mesgarpour, Mohammad & Potts, Chris N., 2017. "Dynamic scheduling of aircraft landings," European Journal of Operational Research, Elsevier, vol. 258(1), pages 315-327.
    16. Daniel Karapetyan & Jason A. D. Atkin & Andrew J. Parkes & Juan Castro-Gutierrez, 2017. "Lessons from building an automated pre-departure sequencer for airports," Annals of Operations Research, Springer, vol. 252(2), pages 435-453, May.
    17. Lieder, Alexander & Briskorn, Dirk & Stolletz, Raik, 2015. "A dynamic programming approach for the aircraft landing problem with aircraft classes," European Journal of Operational Research, Elsevier, vol. 243(1), pages 61-69.
    18. Faye, Alain, 2015. "Solving the Aircraft Landing Problem with time discretization approach," European Journal of Operational Research, Elsevier, vol. 242(3), pages 1028-1038.
    19. Ng, K.K.H. & Lee, C.K.M. & Chan, Felix T.S. & Qin, Yichen, 2017. "Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 115-136.
    20. C N Potts & V A Strusevich, 2009. "Fifty years of scheduling: a survey of milestones," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 41-68, May.
    21. Pasquale Avella & Maurizio Boccia & Carlo Mannino & Igor Vasilyev, 2017. "Time-Indexed Formulations for the Runway Scheduling Problem," Transportation Science, INFORMS, vol. 51(4), pages 1196-1209, November.
    22. Pinol, H. & Beasley, J.E., 2006. "Scatter Search and Bionomic Algorithms for the aircraft landing problem," European Journal of Operational Research, Elsevier, vol. 171(2), pages 439-462, June.

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