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The European Air Traffic Flow Management Problem

Author

Listed:
  • Guglielmo Lulli

    (Department of Informatics, Systems and Communication, University of Milano Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy)

  • Amedeo Odoni

    (Department of Aeronautics and Astronautics and Operations Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139)

Abstract

Air traffic flow management in Europe has to deal as much with capacity constraints in en route airspace as with the more usual capacity constraints at airports. The en route sector capacity constraints, in turn, generate complex interactions among traffic flows. We present a deterministic optimization model for the European air traffic flow management (ATFM) problem. The model designs flow management strategies involving combinations of ground and airborne holding. The paper illustrates the complex nature of European (EU) ATFM solutions, the benefits that can be obtained by purposely assigning airborne holding delays to some flights, and the issues of equity that arise as a result of the interactions among traffic flows. In particular, we show that, in certain circumstances, it is better, in terms of total delay and delay cost, to assign to a flight a more expensive airborne holding delay than a ground delay. We also show that in the EU ATFM context, fundamental conflicts may often arise between the objectives of efficiency and equity (or “fairness”). This finding may have profound implications for the possibility of developing a “collaborative decision-making” environment for air traffic flow management in Europe.

Suggested Citation

  • Guglielmo Lulli & Amedeo Odoni, 2007. "The European Air Traffic Flow Management Problem," Transportation Science, INFORMS, vol. 41(4), pages 431-443, November.
  • Handle: RePEc:inm:ortrsc:v:41:y:2007:i:4:p:431-443
    DOI: 10.1287/trsc.1070.0214
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    References listed on IDEAS

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    1. Balázs Kotnyek & Octavio Richetta, 2006. "Equitable Models for the Stochastic Ground-Holding Problem Under Collaborative Decision Making," Transportation Science, INFORMS, vol. 40(2), pages 133-146, May.
    2. Dimitris Bertsimas & Sarah Stock Patterson, 1998. "The Air Traffic Flow Management Problem with Enroute Capacities," Operations Research, INFORMS, vol. 46(3), pages 406-422, June.
    3. Thomas Vossen & Michael Ball, 2006. "Optimization and mediated bartering models for ground delay programs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(1), pages 75-90, February.
    4. Octavio Richetta & Amedeo R. Odoni, 1993. "Solving Optimally the Static Ground-Holding Policy Problem in Air Traffic Control," Transportation Science, INFORMS, vol. 27(3), pages 228-238, August.
    5. Kan Chang & Ken Howard & Rick Oiesen & Lara Shisler & Midori Tanino & Michael C. Wambsganss, 2001. "Enhancements to the FAA Ground-Delay Program Under Collaborative Decision Making," Interfaces, INFORMS, vol. 31(1), pages 57-76, February.
    6. Michael O. Ball & Robert Hoffman & Amedeo R. Odoni & Ryan Rifkin, 2003. "A Stochastic Integer Program with Dual Network Structure and Its Application to the Ground-Holding Problem," Operations Research, INFORMS, vol. 51(1), pages 167-171, February.
    7. 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.
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