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Reducing ATFM delays through strategic flight planning

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  • Bolić, Tatjana
  • Castelli, Lorenzo
  • Corolli, Luca
  • Rigonat, Desirée

Abstract

This paper presents an integer programming model for strategic redistribution of flights so as to respect nominal sector capacities, in short computation times for large-scale instances. The main contribution lies in the combination of tackling large-scale strategic flight planning using hard capacity constraints, while considering the whole network (i.e., both airports and sectors). Real historic data for network and traffic description are used for our test instance. Strategic and tactical impact assessments show that early flight planning can lead to the reduction of delays and their costs, showing potential for actual implementation.

Suggested Citation

  • Bolić, Tatjana & Castelli, Lorenzo & Corolli, Luca & Rigonat, Desirée, 2017. "Reducing ATFM delays through strategic flight planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 42-59.
    • Handle: RePEc:eee:transe:v:98:y:2017:i:c:p:42-59
    DOI: 10.1016/j.tre.2016.12.001
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    Cited by:

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    2. Xu, Yan & Dalmau, Ramon & Melgosa, Marc & Montlaur, Adeline & Prats, Xavier, 2020. "A framework for collaborative air traffic flow management minimizing costs for airspace users: Enabling trajectory options and flexible pre-tactical delay management," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 229-255.
    3. Presto, Felix & Gollnick, Volker & Lau, Alexander & Lütjens, Klaus, 2022. "Flight frequency regulation and its temporal implications," Transport Policy, Elsevier, vol. 116(C), pages 106-118.
    4. Kenan, Nabil & Jebali, Aida & Diabat, Ali, 2018. "The integrated aircraft routing problem with optional flights and delay considerations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 355-375.
    5. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    6. Weihao Ouyang & Xiaohong Zhu, 2023. "Meta-Heuristic Solver with Parallel Genetic Algorithm Framework in Airline Crew Scheduling," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    7. Bolić, Tatjana & Castelli, Lorenzo & Corolli, Luca & Scaini, Giovanni, 2021. "Flexibility in strategic flight planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    8. Silvia Zaoli & Giovanni Scaini & Lorenzo Castelli, 2021. "Community Detection for Air Traffic Networks and Its Application in Strategic Flight Planning," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    9. Dalmau, Ramon & Gawinowski, Gilles & Anoraud, Camille, 2022. "Comparison of various temporal air traffic flow management models in critical scenarios," Journal of Air Transport Management, Elsevier, vol. 105(C).
    10. Kenan, Nabil & Diabat, Ali & Jebali, Aida, 2018. "Codeshare agreements in the integrated aircraft routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 272-295.
    11. Luis Delgado & G'erald Gurtner & Tatjana Boli'c & Lorenzo Castelli, 2021. "Estimating economic severity of Air Traffic Flow Management regulations," Papers 2112.11263, arXiv.org.

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