IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0298540.html
   My bibliography  Save this article

Collaborative optimization model and algorithm for airport capacity and traffic flow allocation

Author

Listed:
  • Peinan He
  • Weijun Pan

Abstract

How to efficiently utilize the existing airport capacity without physical expansion and considerable economic inputs to meet air traffic needs is one of the important tasks of air traffic management. To improve the efficiency of capacity utilization, it is necessary to find the actual airport capacity properly. In this work, taking Shuangliu International Airport as an example, a methodology for capacity estimation is proposed that combines the empirical method with an analytical approach that uses historical performance data from the airport to construct a capacity envelope to approximate the airport’s actual capacity to the greatest extent, establishes a collaborative optimization model that reflects the inherent relations between airport capacity and arrival and departure traffic demand, adopts an improved optimization algorithm to solve the model, and generates an optimal flight allocation scheme. Priority ratio is introduced to dynamically adjust management preferences for arrival and departure traffic demand to further reveal the synergy mechanism between departure and arrival traffic flow demand and the airport capacity. The result shows that the Flight On-time Performance rate is lifted by 6% in the case study which proves the feasibility of the proposed method, demonstrating its value for maximizing airport capacity and traffic flow demand without requiring expansions on airport scales.

Suggested Citation

  • Peinan He & Weijun Pan, 2024. "Collaborative optimization model and algorithm for airport capacity and traffic flow allocation," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-21, March.
    • Handle: RePEc:plo:pone00:0298540
    DOI: 10.1371/journal.pone.0298540
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0298540
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0298540&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0298540?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
    ---><---

    References listed on IDEAS

    as
    1. Aulman, Joeri, 2018. "Meeting airport capacity demand using new technologies and innovations," Journal of Airport Management, Henry Stewart Publications, vol. 13(1), pages 57-63, December.
    2. Dray, Lynnette, 2020. "An empirical analysis of airport capacity expansion," Journal of Air Transport Management, Elsevier, vol. 87(C).
    Full references (including those not matched with items on IDEAS)

    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. Gong, Zhenwei & Zhang, Fangni & Liu, Wei & Graham, Daniel J., 2023. "On the effects of airport capacity expansion under responsive airlines and elastic passenger demand," Transportation Research Part B: Methodological, Elsevier, vol. 170(C), pages 48-76.
    2. Pierre Picard & Alessandro Tampieri & Xi Wan, 2023. "Deregulation and Efficiency in Slot-Constrained Airports," DEM Discussion Paper Series 23-14, Department of Economics at the University of Luxembourg.
    3. Skorupski, Jacek & Siegień, Izabela, 2024. "Petri net model-based approach to runway performance analysis," Journal of Air Transport Management, Elsevier, vol. 120(C).
    4. Sameeraű Galagedera & Varuna Adikariwattage & H. R. Pasindu, 2021. "Evaluation of Rapid Exit Locations Based on Veer-Off Risk for Landing Aircraft," Sustainability, MDPI, vol. 13(9), pages 1-21, May.
    5. Burns, Porter & Bowen, John, 2024. "Global network structure and emissions implications of long-thin airline routes," Journal of Air Transport Management, Elsevier, vol. 115(C).

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0298540. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.