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An examination of take-off scheduling constraints at London Heathrow airport

Author

Listed:
  • Jason A. D. Atkin

    (University of Nottingham)

  • Edmund K. Burke

    (University of Nottingham)

  • John S. Greenwood

    (NATS CTC)

  • Dale Reeson

    (Heathrow Airport)

Abstract

In this paper, we focus upon the departure system for London Heathrow airport, one of the busiest airports in the world. Decreasing the delay for aircraft awaiting take-off with their engines running would decrease fuel usage and have consequent cost and pollution benefits. We explain how the departure system at Heathrow currently works and we describe the various constraints that apply to take-off schedules. A model for the take-off order problem is presented from the point of view of the runway controller, the person who is responsible for the take-off scheduling. We investigate the effects of each constraint and combination of constraints, using a simulation of the Heathrow departure system. The role of the runway controller in the simulation is performed by a search which was designed to form the basis of an online decision support system. Both the simulation and the decision support system are fully described. We use the results to evaluate the effect upon delay that we would expect from various changes that could be made to the departure system. We end the paper by drawing conclusions about the predicted effectiveness of different changes that could be made to the departure system and focus upon a further opportunity for decision support research.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:pubtra:v:1:y:2009:i:3:d:10.1007_s12469-009-0011-z
    DOI: 10.1007/s12469-009-0011-z
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    References listed on IDEAS

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    1. L. Bianco & P. Dell'Olmo & S. Giordani, 1999. "Minimizing total completion time subject to release dates and sequence‐dependentprocessing times," Annals of Operations Research, Springer, vol. 86(0), pages 393-415, January.
    2. 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.
    3. J. E. Beasley & M. Krishnamoorthy & Y. M. Sharaiha & D. Abramson, 2000. "Scheduling Aircraft Landings—The Static Case," Transportation Science, INFORMS, vol. 34(2), pages 180-197, May.
    4. 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.
    5. Jason A. D. Atkin & Edmund K. Burke & John S. Greenwood & Dale Reeson, 2008. "A Metaheuristic Approach to Aircraft Departure Scheduling at London Heathrow Airport," Lecture Notes in Economics and Mathematical Systems, in: Mark Hickman & Pitu Mirchandani & Stefan Voß (ed.), Computer-aided Systems in Public Transport, pages 235-252, Springer.
    6. G. F. Newell, 1979. "Airport Capacity and Delays," Transportation Science, INFORMS, vol. 13(3), pages 201-241, August.
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    Cited by:

    1. Guépet, Julien & Briant, Olivier & Gayon, Jean-Philippe & Acuna-Agost, Rodrigo, 2017. "Integration of aircraft ground movements and runway operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 131-149.
    2. Jason A. D. Atkin & Geert De Maere & Edmund K. Burke & John S. Greenwood, 2013. "Addressing the Pushback Time Allocation Problem at Heathrow Airport," Transportation Science, INFORMS, vol. 47(4), pages 584-602, November.
    3. Branko Bubalo & Joachim Daduna, 2011. "Airport capacity and demand calculations by simulation—the case of Berlin-Brandenburg International Airport," Netnomics, Springer, vol. 12(3), pages 161-181, October.

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