IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v276y2019i2p676-687.html
   My bibliography  Save this article

Planning efficient 4D trajectories in Air Traffic Flow Management

Author

Listed:
  • Dal Sasso, Veronica
  • Djeumou Fomeni, Franklin
  • Lulli, Guglielmo
  • Zografos, Konstantinos G.

Abstract

In this paper, we focus on designing efficient 4D trajectories for the planning phase of Air Traffic Flow Management (ATFM). A key feature of the proposed approach is the inclusion of stakeholders’ preferences and priorities. In particular, we have implemented two priority mechanisms recently developed by Eurocontrol, namely the Fleet Delay Reordering and the Margins.

Suggested Citation

  • Dal Sasso, Veronica & Djeumou Fomeni, Franklin & Lulli, Guglielmo & Zografos, Konstantinos G., 2019. "Planning efficient 4D trajectories in Air Traffic Flow Management," European Journal of Operational Research, Elsevier, vol. 276(2), pages 676-687.
    • Handle: RePEc:eee:ejores:v:276:y:2019:i:2:p:676-687
    DOI: 10.1016/j.ejor.2019.01.039
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221719300748
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2019.01.039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dal Sasso, Veronica & Djeumou Fomeni, Franklin & Lulli, Guglielmo & Zografos, Konstantinos G., 2018. "Incorporating Stakeholders’ priorities and preferences in 4D trajectory optimization," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 594-609.
    2. Dimitris Bertsimas & Guglielmo Lulli & Amedeo Odoni, 2011. "An Integer Optimization Approach to Large-Scale Air Traffic Flow Management," Operations Research, INFORMS, vol. 59(1), pages 211-227, February.
    3. Boland, Natashia & Charkhgard, Hadi & Savelsbergh, Martin, 2017. "The Quadrant Shrinking Method: A simple and efficient algorithm for solving tri-objective integer programs," European Journal of Operational Research, Elsevier, vol. 260(3), pages 873-885.
    4. Agustı´n, A. & Alonso-Ayuso, A. & Escudero, L.F. & Pizarro, C., 2012. "On air traffic flow management with rerouting. Part II: Stochastic case," European Journal of Operational Research, Elsevier, vol. 219(1), pages 167-177.
    5. Olivier Richard & Sophie Constans & Rémy Fondacci, 2011. "Computing 4D near-optimal trajectories for dynamic air traffic flow management with column generation and branch-and-price," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(5), pages 389-411, April.
    6. Agustı´n, A. & Alonso-Ayuso, A. & Escudero, L.F. & Pizarro, C., 2012. "On air traffic flow management with rerouting. Part I: Deterministic case," European Journal of Operational Research, Elsevier, vol. 219(1), pages 156-166.
    7. Thomas W. M. Vossen & Robert Hoffman & Avijit Mukherjee, 2012. "Air Traffic Flow Management," International Series in Operations Research & Management Science, in: Cynthia Barnhart & Barry Smith (ed.), Quantitative Problem Solving Methods in the Airline Industry, edition 127, chapter 0, pages 385-453, Springer.
    8. Guglielmo Lulli & Amedeo Odoni, 2007. "The European Air Traffic Flow Management Problem," Transportation Science, INFORMS, vol. 41(4), pages 431-443, November.
    9. Hanif D. Sherali & J. Cole Smith & Antonio A. Trani, 2002. "An Airspace Planning Model for Selecting Flight-plans Under Workload, Safety, and Equity Considerations," Transportation Science, INFORMS, vol. 36(4), pages 378-397, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jamie Fairbrother & Konstantinos G. Zografos & Kevin D. Glazebrook, 2020. "A Slot-Scheduling Mechanism at Congested Airports that Incorporates Efficiency, Fairness, and Airline Preferences," Transportation Science, INFORMS, vol. 54(1), pages 115-138, January.
    2. Gui, Dongdong & Le, Meilong & Huang, Zhouchun & Zhang, Junfeng & D’Ariano, Andrea, 2023. "Optimal aircraft arrival scheduling with continuous descent operations in busy terminal maneuvering areas," Journal of Air Transport Management, Elsevier, vol. 107(C).
    3. Man Xu & Minghua Hu & Yi Zhou & Wenhao Ding & Qiuqi Wu, 2022. "Multi-Aircraft Cooperative Strategic Trajectory-Planning Method Considering Wind Forecast Uncertainty," Sustainability, MDPI, vol. 14(17), pages 1-28, August.
    4. Sadeque Hamdan & Oualid Jouini & Ali Cheaitou & Zied Jemai & Tobias Andersson Granberg, 2023. "On the binary formulation of air traffic flow management problems," Annals of Operations Research, Springer, vol. 321(1), pages 267-279, February.
    5. Qingwei Zhong & Yingxue Yu & Yongxiang Zhang & Jingwei Guo & Zian He, 2024. "Swarm Division-Based Aircraft Velocity Obstacle Optimization Considering Low-Carbon Emissions," Sustainability, MDPI, vol. 16(5), pages 1-27, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dal Sasso, Veronica & Djeumou Fomeni, Franklin & Lulli, Guglielmo & Zografos, Konstantinos G., 2018. "Incorporating Stakeholders’ priorities and preferences in 4D trajectory optimization," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 594-609.
    2. Sadeque Hamdan & Oualid Jouini & Ali Cheaitou & Zied Jemai & Tobias Andersson Granberg, 2023. "On the binary formulation of air traffic flow management problems," Annals of Operations Research, Springer, vol. 321(1), pages 267-279, February.
    3. Diao, Xudong & Chen, Chun-Hsien, 2018. "A sequence model for air traffic flow management rerouting problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 15-30.
    4. Xiao, Mingming & Cai, Kaiquan & Abbass, Hussein A., 2018. "Hybridized encoding for evolutionary multi-objective optimization of air traffic network flow: A case study on China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 35-55.
    5. Zhang, Qiuhan & Le, Meilong & Xu, Yan, 2021. "Collaborative delay management towards demand-capacity balancing within User Driven Prioritisation Process," Journal of Air Transport Management, Elsevier, vol. 91(C).
    6. Ghoneim, Ayman & Abbass, Hussein A., 2016. "A multiobjective distance separation methodology to determine sector-level minimum separation for safe air traffic scenarios," European Journal of Operational Research, Elsevier, vol. 253(1), pages 226-240.
    7. Bongo, Miriam F. & Ocampo, Lanndon A., 2017. "A hybrid fuzzy MCDM approach for mitigating airport congestion: A case in Ninoy Aquino International Airport," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 1-16.
    8. Agustı´n, A. & Alonso-Ayuso, A. & Escudero, L.F. & Pizarro, C., 2012. "On air traffic flow management with rerouting. Part I: Deterministic case," European Journal of Operational Research, Elsevier, vol. 219(1), pages 156-166.
    9. Agustı´n, A. & Alonso-Ayuso, A. & Escudero, L.F. & Pizarro, C., 2012. "On air traffic flow management with rerouting. Part II: Stochastic case," European Journal of Operational Research, Elsevier, vol. 219(1), pages 167-177.
    10. Ivanov, Nikola & Jovanović, Radosav & Fichert, Frank & Strauss, Arne & Starita, Stefano & Babić, Obrad & Pavlović, Goran, 2019. "Coordinated capacity and demand management in a redesigned Air Traffic Management value-chain," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 139-152.
    11. 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.
    12. Ivanov, Nikola & Netjasov, Fedja & Jovanović, Radosav & Starita, Stefano & Strauss, Arne, 2017. "Air Traffic Flow Management slot allocation to minimize propagated delay and improve airport slot adherence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 183-197.
    13. Kammoun, Mohamed Ali & Rezg, Nidhal, 2018. "An efficient hybrid approach for resolving the aircraft routing and rescheduling problem," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 73-87.
    14. 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.
    15. Hamdan, Sadeque & Jouini, Oualid & Cheaitou, Ali & Jemai, Zied & Granberg, Tobias Andersson & Josefsson, Billy, 2022. "Air traffic flow management under emission policies: Analyzing the impact of sustainable aviation fuel and different carbon prices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 14-40.
    16. Pellegrini, Paola & Rodriguez, Joaquin, 2013. "Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 64-86.
    17. James C. Jones & David J. Lovell & Michael O. Ball, 2018. "Stochastic Optimization Models for Transferring Delay Along Flight Trajectories to Reduce Fuel Usage," Transportation Science, INFORMS, vol. 52(1), pages 134-149, January.
    18. Wesonga, Ronald, 2015. "Airport utility stochastic optimization models for air traffic flow management," European Journal of Operational Research, Elsevier, vol. 242(3), pages 999-1007.
    19. Prot, D. & Rapine, C. & Constans, S. & Fondacci, R., 2014. "A 4D-sequencing approach for air traffic management," European Journal of Operational Research, Elsevier, vol. 237(2), pages 411-425.
    20. Andreatta, Giovanni & Dell'Olmo, Paolo & Lulli, Guglielmo, 2011. "An aggregate stochastic programming model for air traffic flow management," European Journal of Operational Research, Elsevier, vol. 215(3), pages 697-704, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:276:y:2019:i:2:p:676-687. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.