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A performance-based approach to airspace optimization using wind-optimal tracks network in Ho Chi Minh FIR

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
With the fast-paced development of the aviation industry, air traffic is also increasing, leading to the problem of how to control the traffic safely, and effectively, and increase the capacity of airspace. Therefore, numerous approaches have been taken to cope with this, including optimal models - an effective approach to addressing airspace congestion issues worldwide. However, the application of these models in Vietnam remains relatively limited. In this research, we aim to address the issue of airspace congestion and how to enhance safety and efficiency by developing an algorithm capable of automatically detecting and resolving conflicts. This is achieved by adjusting the entry time and flight level (FL) of aircraft operating within the Wind-Optimal Track Network (WOTN) model that we have developed for the Ho Chi Minh Flight Information Region (HCM FIR). The research contributes to the advancement of air traffic management (ATM) systems, particularly in the context of HCM FIR, minimizing air traffic controller (ATC) workload, and offering valuable insights for enhancing operational efficiency and safety in the airspace.
Rocznik
Tom
Strony
207--222
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
  • Faculty of Aviation Operation, Vietnam Aviation Academy, Vietnam
  • Faculty of Aviation Operation, Vietnam Aviation Academy, Vietnam
  • Faculty of Aviation Operation, Vietnam Aviation Academy, Vietnam
  • Computer Science Faculty, Can Tho University, Vietnam
  • Faculty of Aviation Operation, Vietnam Aviation Academy, Vietnam
  • Faculty of Aviation Operation, Vietnam Aviation Academy, Vietnam
  • Faculty of Aviation Operation, Vietnam Aviation Academy, Vietnam
  • Faculty of Aviation Operation, Vietnam Aviation Academy, Vietnam
Bibliografia
  • 1. Imen Dhief. 2018. „Optimization of aircraft trajectories over the North Atlantic Airspace”. PhD thesis. Toulouse, France: Université Paul Sabatier.
  • 2. Jaime de la Mota, María Cerezo-Magaña, Alberto Olivares, Ernesto Staffetti. 2023. „Data-Driven Probabilistic Methodology for Aircraft Conflict Detection Under Wind Uncertainty”. Transactions on Aerospace and Electronic Systems 59(5): 5174-5186. ISSN: 1557-9603. DOI: https://doi.org/10.1109/TAES.2023.3250204.
  • 3. Nguyen Ngoc Hoang Quan, Le Minh Hoang, Dinh Trinh Binh, Nguyen Thu Thao, Le Toan Thinh, Nguyen Van Tien Son, Vu Nguyen Hoang Vu. 2024. „Constructing optimization model based on WOTN model in Ho Chi Minh flight information region”. In: International Symposium on Aircraft Technology, MRO & Operations”. Vietnam Aviation Academy, Hochiminh city, Viet Nam. 27-29 August 2024.
  • 4. Nguyen Ngoc Hoang Quan, Vladimir N. Nechaev, Vyacheslav B. Malygin. 2025. „Mathematical model and application of the A-star algorithm to optimize ATS routes in the area control center Ho Chi Minh airspace”. Crede Experto: Transport, Society, Education, Language 3: 64-85. ISSN: 2312-1327. DOI: https://doi.org/10.51955/2312-1327_2025_1_64.
  • 5. OAG. 2024. The busiest flight routes of 2024. Available at: https://www.oag.com/busiest-routes-world-2024.
  • 6. Roja Ezzati Amini, Kui Yang, Constantinos Antoniou. 2022. „Development of a conflict risk evaluation model to assess pedestrian safety in interaction with vehicles”. Accident Analysis & Prevention 175: 106773. ISSN: 0001-4575. DOI: https://doi.org/10.1016/j.aap.2022.106773
  • 7. Rosenow Judith, Martin Lindner, Joachim Scheiderer. 2021. „Advanced Flight Planning and the Benefit of In-Flight Aircraft Trajectory Optimization”. Sustainability 13(3). ISSN: 2071-1050. DOI: https://doi.org/10.3390/su13031383.
  • 8. Rui Chibante. 2010. Simulated Annealing, Theory with Applications. London: Intechopen. ISBN: 978-953-307-134-3.
  • 9. Shafi Imran, Muhammad Fawad Mazhar, Anum Fatima, Roberto Marcelo Alvarez, Yini Miró, Julio César Martínez Espinosa, and Imran Ashraf. 2023. „Deep Learning-Based Real Time Defect Detection for Optimization of Aircraft Manufacturing and Control Performance”. Drones 7(1): 31. ISSN: 2504-446X. DOI: https://doi.org/10.3390/drones7010031.
  • 10. Shangyao Yan, Ching-Sheng Sun, Yi-Hsuan Chen. 2023. „Optimal routing and scheduling of unmanned aerial vehicles for delivery services”. Transportation Letters 16(7): 764-775. ISSN: 1942-7867. DOI: https://doi.org/10.1080/19427867.2023.2237736.
  • 11. Viet Nam News. „Vietnamese aviation predicted to transport over 80 million passengers next year”. Available at: https://vietnamnews.vn/society/1638458/vietnamese-aviation-predicted-to-transport-over-80-million-passengers-next-year.html.
  • 12. Vladimir Braverman. 2016. Sliding Window Algorithms. In: Kao M.Y. (eds). Encyclopedia of Algorithms. Springer, New York, NY.
  • 13. Xiangyu Wang, Yanping Yang, Dong Wang, Zijian Zhang. 2022. „Mission-oriented cooperative 3D path planning for modular solar-powered aircraft with energy optimization”. Chinese Journal of Aeronautics 35(1): 98-109. DOI: https://doi.org/10.1016/j.cja.2021.04.015.
  • 14. Xuesong Wang, Ruolin Shi, Andreas Leich, Hagen Saul, Alexander Sohr, Xiaoxu Bei. 2025. „Conflict extraction and characteristics analysis at signalized intersections using trajectory data”. International Journal of Transportation Science and Technology 16(7): 764-775. ISSN: 1942-7867. DOI: https://doi.org/10.1080/19427867.2023.2237736.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1fc04673-8766-425e-bc59-33ed22b55281
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