Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models
Free route airspace allows airspace users to freely plan a route in en-route airspaces within certain restrictions. It is anticipated to offer the benefit of fuel saving and operational flexibility. Regarding its efficient implementation into the ASEAN airspace, the key challenge would be reducing h...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/11/1/11 |
| _version_ | 1797344877445382144 |
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| author | Eri Itoh Koji Tominaga Michael Schultz Vu N. Duong |
| author_facet | Eri Itoh Koji Tominaga Michael Schultz Vu N. Duong |
| author_sort | Eri Itoh |
| collection | DOAJ |
| description | Free route airspace allows airspace users to freely plan a route in en-route airspaces within certain restrictions. It is anticipated to offer the benefit of fuel saving and operational flexibility. Regarding its efficient implementation into the ASEAN airspace, the key challenge would be reducing hotspots with clusters of potential conflicts. This paper designed a time-varying queuing network model, which contributed to untangle trajectory complexity in the most congested hotspot area. A series of fast-time simulation experiments were conducted to identify hotspots in en-route airspace in Singapore FIR. The application of departure time control using time-varying queuing networks successfully reduced up to 45% of potential conflicts. This was achieved within an average delay of 30 min by controlling time of less than 60% of candidate flights. The original contribution of this paper is to develop a novel modeling and simulation framework for composing ideal air traffic patterns. Lastly, we discussed the extension of this study toward a generalized application of the proposed approach in future air traffic management. |
| first_indexed | 2024-03-08T11:09:15Z |
| format | Article |
| id | doaj.art-4d6d4f16e9b04b988242653cc1ec8906 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-08T11:09:15Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-4d6d4f16e9b04b988242653cc1ec89062024-01-26T14:11:31ZengMDPI AGAerospace2226-43102023-12-011111110.3390/aerospace11010011Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing ModelsEri Itoh0Koji Tominaga1Michael Schultz2Vu N. Duong3Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, JapanAir Traffic Management Research Institute, Nanyang Technological University, Singapore 639798, SingaporeAir Traffic Management Research Institute, Nanyang Technological University, Singapore 639798, SingaporeAir Traffic Management Research Institute, Nanyang Technological University, Singapore 639798, SingaporeFree route airspace allows airspace users to freely plan a route in en-route airspaces within certain restrictions. It is anticipated to offer the benefit of fuel saving and operational flexibility. Regarding its efficient implementation into the ASEAN airspace, the key challenge would be reducing hotspots with clusters of potential conflicts. This paper designed a time-varying queuing network model, which contributed to untangle trajectory complexity in the most congested hotspot area. A series of fast-time simulation experiments were conducted to identify hotspots in en-route airspace in Singapore FIR. The application of departure time control using time-varying queuing networks successfully reduced up to 45% of potential conflicts. This was achieved within an average delay of 30 min by controlling time of less than 60% of candidate flights. The original contribution of this paper is to develop a novel modeling and simulation framework for composing ideal air traffic patterns. Lastly, we discussed the extension of this study toward a generalized application of the proposed approach in future air traffic management.https://www.mdpi.com/2226-4310/11/1/11free route airspaceair traffic complexityqueuing networktime-varying queuing modelmodeling and simulationASEAN |
| spellingShingle | Eri Itoh Koji Tominaga Michael Schultz Vu N. Duong Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models Aerospace free route airspace air traffic complexity queuing network time-varying queuing model modeling and simulation ASEAN |
| title | Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models |
| title_full | Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models |
| title_fullStr | Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models |
| title_full_unstemmed | Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models |
| title_short | Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models |
| title_sort | untangling complexity in asean air traffic management through time varying queuing models |
| topic | free route airspace air traffic complexity queuing network time-varying queuing model modeling and simulation ASEAN |
| url | https://www.mdpi.com/2226-4310/11/1/11 |
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