IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p1855-d1344814.html
   My bibliography  Save this article

Swarm Division-Based Aircraft Velocity Obstacle Optimization Considering Low-Carbon Emissions

Author

Listed:
  • Qingwei Zhong

    (College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China)

  • Yingxue Yu

    (College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China)

  • Yongxiang Zhang

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China)

  • Jingwei Guo

    (Faculty of Business, City University of Macau, Macau SAR 999078, China)

  • Zian He

    (Guangxi Air Traffic Management Sub-Bureau, Nanning 530031, China)

Abstract

In the pursuit of sustainable aviation, this paper presents an innovative approach that adopts a swarm division strategy to enhance and refine the velocity obstacle (VO) method, guided by a low-carbon principle. A dynamic elliptical protection zone model forms the core of this innovative approach. Specifically, this dynamic elliptical protection zone is created based on the difference in aircraft velocity, and a swarm division strategy is introduced in this process. Initially, aircraft that share the same route and type, and have similar velocities and distances, are grouped into swarms. Then, the characteristics of the swarms, such as mass points, velocities, and protection zones, are recorded. Second, the collision cone (CC) between swarms is established, and planar geometrical analysis is used to determine the optimal relief velocity and heading of aircraft on the low-carbon objective while ensuring a safe interval between aircraft in the swarm during the relief period. Additionally, a swarm control algorithm is utilized to adjust the velocity of the aircraft by a small margin. Finally, simulation experiments are conducted using Python, revealing that the swarm relief efficiency of the enhanced VO method sees a notable increase of over 33%. Concurrently, the need for adjustments decreases by an average of 32.78%, while fuel savings reach as high as 70.18%. The strategy is real-time and operational, significantly reduces the air traffic controller (ATC) workload, improves flight efficiency and safety, and contributes positively to the reduction in carbon emissions, which is beneficial for the environment.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1855-:d:1344814
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/1855/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/5/1855/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. 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. Chen, Yunxiang & Zhao, Yifei & Wu, Yexin, 2024. "Recent progress in air traffic flow management: A review," Journal of Air Transport Management, Elsevier, vol. 116(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. 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).
    5. 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.

    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:gam:jsusta:v:16:y:2024:i:5:p:1855-:d:1344814. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.