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Multiairport Ground Holding Problem: A Computational Evaluation of Exact Algorithms

Author

Listed:
  • Giovanni Andreatta

    (Università Degli Studi di Padova, Padova, Italy)

  • Lorenzo Brunetta

    (Università Degli Studi di Padova, Padova, Italy)

Abstract

Congestion in the air traffic network is becoming an increasingly serious problem that causes inconvenience to passengers, losses to airlines and, last but not least, threats to airspace safety. One way of reducing the amount of congestion is to use Ground Holding policies, i.e., to impose on selected aircraft a ground holding prior to their departure so that congestion during peak periods of time may be smoothed away. In this paper we restrict our attention to the Multiairport Ground Holding problem, where congestion may arise only at the airports due to limited arrival capacity. There are a few algorithms that, under suitable hypotheses, find an “optimal” policy for the Multiairport Ground Holding problem. In this paper we evaluate and compare computationally three of them, namely, the one recently proposed by Vranas, Bertsimas and Odoni, the one suggested by Andreatta and Tidona and that due to Bertsimas and Stock. The computational evaluation is based on two sets of test problems. The first set consists of seven problems taken from the literature. The second set consists of 32 “realistic” test problems. The results indicate the superiority of the Bertsimas and Stock approach among the three models considered.

Suggested Citation

  • Giovanni Andreatta & Lorenzo Brunetta, 1998. "Multiairport Ground Holding Problem: A Computational Evaluation of Exact Algorithms," Operations Research, INFORMS, vol. 46(1), pages 57-64, February.
  • Handle: RePEc:inm:oropre:v:46:y:1998:i:1:p:57-64
    DOI: 10.1287/opre.46.1.57
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    Citations

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    Cited by:

    1. Giovanni Andreatta & Lorenzo Brunetta & Guglielmo Guastalla, 2000. "From Ground Holding to Free Flight: An Exact Approach," Transportation Science, INFORMS, vol. 34(4), pages 394-401, November.
    2. Dimitris Bertsimas & Sarah Stock Patterson, 2000. "The Traffic Flow Management Rerouting Problem in Air Traffic Control: A Dynamic Network Flow Approach," Transportation Science, INFORMS, vol. 34(3), pages 239-255, August.
    3. Guo, Yechenfeng & Hu, Minghua & Zou, Bo & Hansen, Mark & Zhang, Ying & Xie, Hua, 2022. "Air Traffic Flow Management Integrating Separation Management and Ground Holding: An Efficiency-Equity Bi-objective Perspective," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 394-423.
    4. Bertsimas, Dimitris & Gupta, Shubham & Lulli, Guglielmo, 2014. "Dynamic resource allocation: A flexible and tractable modeling framework," European Journal of Operational Research, Elsevier, vol. 236(1), pages 14-26.
    5. Dell'Olmo, Paolo & Lulli, Guglielmo, 2003. "A new hierarchical architecture for Air Traffic Management: Optimisation of airway capacity in a Free Flight scenario," European Journal of Operational Research, Elsevier, vol. 144(1), pages 179-193, January.

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