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Rolling horizon approach for aircraft scheduling in the terminal control area of busy airports

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  • Samà, Marcella
  • D’Ariano, Andrea
  • Pacciarelli, Dario

Abstract

This paper addresses the real-time problem of scheduling aircraft in a terminal control area. We formulate this problem via the alternative graph formulation. A rolling horizon framework is introduced to manage busy traffic situations with a large number of delayed aircraft. As scheduling algorithms, we compare a branch and bound (BB) algorithm with a first come first served (FCFS) rule. The algorithms are evaluated on practical size instances from Roma Fiumicino and Milano Malpensa. Experimental results demonstrate that BB better minimizes aircraft delays and travel times compared to FCFS. BB also requires less frequent changes of aircraft scheduling decisions.

Suggested Citation

  • Samà, Marcella & D’Ariano, Andrea & Pacciarelli, Dario, 2013. "Rolling horizon approach for aircraft scheduling in the terminal control area of busy airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 140-155.
    • Handle: RePEc:eee:transe:v:60:y:2013:i:c:p:140-155
    DOI: 10.1016/j.tre.2013.05.006
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    References listed on IDEAS

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    1. Corman, F. & D’Ariano, A. & Pacciarelli, D. & Pranzo, M., 2012. "Optimal inter-area coordination of train rescheduling decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 71-88.
    2. Andrea D'Ariano & Francesco Corman & Dario Pacciarelli & Marco Pranzo, 2008. "Reordering and Local Rerouting Strategies to Manage Train Traffic in Real Time," Transportation Science, INFORMS, vol. 42(4), pages 405-419, November.
    3. Abdelghany, Khaled F. & Abdelghany, Ahmed F. & Ekollu, Goutham, 2008. "An integrated decision support tool for airlines schedule recovery during irregular operations," European Journal of Operational Research, Elsevier, vol. 185(2), pages 825-848, March.
    4. D'Ariano, Andrea & Pacciarelli, Dario & Pranzo, Marco, 2007. "A branch and bound algorithm for scheduling trains in a railway network," European Journal of Operational Research, Elsevier, vol. 183(2), pages 643-657, December.
    5. Meng, Lingyun & Zhou, Xuesong, 2011. "Robust single-track train dispatching model under a dynamic and stochastic environment: A scenario-based rolling horizon solution approach," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1080-1102, August.
    6. Mascis, Alessandro & Pacciarelli, Dario, 2002. "Job-shop scheduling with blocking and no-wait constraints," European Journal of Operational Research, Elsevier, vol. 143(3), pages 498-517, December.
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    Cited by:

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    14. 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.
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    17. 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.
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    20. Murça, Mayara Condé Rocha & Müller, Carlos, 2015. "Control-based optimization approach for aircraft scheduling in a terminal area with alternative arrival routes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 96-113.

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