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Robust runway scheduling under uncertain conditions

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  • Heidt, Andreas
  • Helmke, Hartmut
  • Kapolke, Manu
  • Liers, Frauke
  • Martin, Alexander

Abstract

The runway is the main element that combines airside and groundside of the ATM System. Thus, it is crucial to develop efficient models and planning algorithms for its effective usage. The best planning algorithm, however, is useless if the resulting plans cannot be implemented in the real world. This often happens because the input data of the planning algorithms face disturbances or changes over time, respectively. For example, an estimated time of arrival/departure of an aircraft may be changed. It is usually not certain for the next ten hours.

Suggested Citation

  • Heidt, Andreas & Helmke, Hartmut & Kapolke, Manu & Liers, Frauke & Martin, Alexander, 2016. "Robust runway scheduling under uncertain conditions," Journal of Air Transport Management, Elsevier, vol. 56(PA), pages 28-37.
    • Handle: RePEc:eee:jaitra:v:56:y:2016:i:pa:p:28-37
    DOI: 10.1016/j.jairtraman.2016.02.009
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    References listed on IDEAS

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    7. Kapolke, Manu & Fürstenau, Norbert & Heidt, Andreas & Liers, Frauke & Mittendorf, Monika & Weiß, Christian, 2016. "Pre-tactical optimization of runway utilization under uncertainty," Journal of Air Transport Management, Elsevier, vol. 56(PA), pages 48-56.
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    Cited by:

    1. 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.
    2. Donghai Wang & Qiuhong Zhao, 2020. "A Simultaneous Optimization Model for Airport Network Slot Allocation under Uncertain Capacity," Sustainability, MDPI, vol. 12(14), pages 1-14, July.
    3. Liu, Wenjing & Zhao, Qiuhong & Delahaye, Daniel, 2022. "Research on slot allocation for airport network in the presence of uncertainty," Journal of Air Transport Management, Elsevier, vol. 104(C).
    4. Amorosi, Lavinia & Fischetti, Martina & Paradiso, Rosario & Roberti, Roberto, 2024. "Optimization models for the installation planning of offshore wind farms," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1182-1196.

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