A study of robustness between two strategic 4D trajectory plannings
Strategic 4D trajectory planning is a promising technology for next-generation air traffic management and systems. Some approaches attempt to satisfy the capacity constraint to reduce traffic congestion, while others aim to reduce potential conflicts between trajectories. This paper investigates two...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Online Access: | https://hdl.handle.net/10356/179748 |
| _version_ | 1826122179667820544 |
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| author | Juntama, Paveen Alam, Sameer Delahaye, Daniel |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Juntama, Paveen Alam, Sameer Delahaye, Daniel |
| author_sort | Juntama, Paveen |
| collection | NTU |
| description | Strategic 4D trajectory planning is a promising technology for next-generation air traffic management and systems. Some approaches attempt to satisfy the capacity constraint to reduce traffic congestion, while others aim to reduce potential conflicts between trajectories. This paper investigates two approaches to organizing the real traffic in the French airspace at the strategic level. The first approach minimizes interaction between trajectories, while the second reduces traffic congestion so that the controller maintains the traffic without much effort. The associated optimization problems are formulated and resolved using an approximative approach based on simulated annealing. The departure time perturbation was introduced to study the robustness of the two proposed methods. An evaluation of the robustness is performed using Monte Carlo simulation. According to the results, the strategic deconfliction method completely solved all interactions between trajectories, and the strategic decongestion method reduced traffic congestion by 99.94%. Furthermore, a comparative study shows that the method reducing congestion is more robust against the departure time perturbation than the method minimizing interaction between trajectories. These findings encourage appropriate use of the proposed methods in the strategic 4D trajectory planning framework. |
| first_indexed | 2024-10-01T05:44:16Z |
| format | Journal Article |
| id | ntu-10356/179748 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:44:16Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1797482024-08-24T16:48:24Z A study of robustness between two strategic 4D trajectory plannings Juntama, Paveen Alam, Sameer Delahaye, Daniel School of Mechanical and Aerospace Engineering Engineering Traffic Deconfliction Traffic Decongestion Strategic 4D trajectory planning is a promising technology for next-generation air traffic management and systems. Some approaches attempt to satisfy the capacity constraint to reduce traffic congestion, while others aim to reduce potential conflicts between trajectories. This paper investigates two approaches to organizing the real traffic in the French airspace at the strategic level. The first approach minimizes interaction between trajectories, while the second reduces traffic congestion so that the controller maintains the traffic without much effort. The associated optimization problems are formulated and resolved using an approximative approach based on simulated annealing. The departure time perturbation was introduced to study the robustness of the two proposed methods. An evaluation of the robustness is performed using Monte Carlo simulation. According to the results, the strategic deconfliction method completely solved all interactions between trajectories, and the strategic decongestion method reduced traffic congestion by 99.94%. Furthermore, a comparative study shows that the method reducing congestion is more robust against the departure time perturbation than the method minimizing interaction between trajectories. These findings encourage appropriate use of the proposed methods in the strategic 4D trajectory planning framework. Published version This work was supported by the French Government Scholarship (BGF). 2024-08-20T06:21:21Z 2024-08-20T06:21:21Z 2024 Journal Article Juntama, P., Alam, S. & Delahaye, D. (2024). A study of robustness between two strategic 4D trajectory plannings. Transactions of the Japan Society for Aeronautical and Space Sciences, 67(3), 175-183. https://dx.doi.org/10.2322/tjsass.67.175 0549-3811 https://hdl.handle.net/10356/179748 10.2322/tjsass.67.175 2-s2.0-85194073365 3 67 175 183 en Transactions of the Japan Society for Aeronautical and Space Sciences © 2024 The authors. JSASS has the license to publish of this article. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BYNC-ND 4.0), which permits non-commercially distribute and reproduce an unmodified in any medium, provided the original work is properly cited. application/pdf |
| spellingShingle | Engineering Traffic Deconfliction Traffic Decongestion Juntama, Paveen Alam, Sameer Delahaye, Daniel A study of robustness between two strategic 4D trajectory plannings |
| title | A study of robustness between two strategic 4D trajectory plannings |
| title_full | A study of robustness between two strategic 4D trajectory plannings |
| title_fullStr | A study of robustness between two strategic 4D trajectory plannings |
| title_full_unstemmed | A study of robustness between two strategic 4D trajectory plannings |
| title_short | A study of robustness between two strategic 4D trajectory plannings |
| title_sort | study of robustness between two strategic 4d trajectory plannings |
| topic | Engineering Traffic Deconfliction Traffic Decongestion |
| url | https://hdl.handle.net/10356/179748 |
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