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Air-traffic complexity resolution in multi-sector planning

Author

Listed:
  • Flener, Pierre
  • Pearson, Justin
  • Ã…gren, Magnus
  • Garcia-Avello, Carlos
  • Çeliktin, Mete
  • Dissing, Søren

Abstract

This paper considers the problem of minimizing the traffic complexities in an airspace of adjacent sectors. The traffic complexity of a sector is determined by the numbers of flights within it, near its border, and on non-level segments within it. The dimensions of complexity resolution involve changing the take-off times of non-airborne flights, changing the approach times into the chosen airspace of airborne flights by slowing and accelerating within the two layers of feeder sectors around that airspace, as well as changing the altitude at way-points in that airspace. Experiments with European flight profiles from the Central Flow Management Unit show that these forms of resolution can lead to significant complexity reductions and rebalancing.

Suggested Citation

  • Flener, Pierre & Pearson, Justin & Ã…gren, Magnus & Garcia-Avello, Carlos & Çeliktin, Mete & Dissing, Søren, 2007. "Air-traffic complexity resolution in multi-sector planning," Journal of Air Transport Management, Elsevier, vol. 13(6), pages 323-328.
    • Handle: RePEc:eee:jaitra:v:13:y:2007:i:6:p:323-328
    DOI: 10.1016/j.jairtraman.2007.05.001
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    References listed on IDEAS

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    1. Pascal Van Hentenryck, 2002. "Constraint and Integer Programming in OPL," INFORMS Journal on Computing, INFORMS, vol. 14(4), pages 345-372, November.
    2. Hanif D. Sherali & Raymond W. Staats & Antonio A. Trani, 2003. "An Airspace Planning and Collaborative Decision-Making Model: Part I—Probabilistic Conflicts, Workload, and Equity Considerations," Transportation Science, INFORMS, vol. 37(4), pages 434-456, November.
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    2. Nava Gaxiola, César Antonio & Barrado, Cristina & Royo, Pablo & Pastor, Enric, 2018. "Assessment of the North European free route airspace deployment," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 113-119.

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