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...
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sg-ntu-dr.10356-1728502024-01-02T15:31:26Z Untangling complexity in ASEAN air traffic management through time-varying queuing models Itoh, Eri Tominaga, Koji Schultz, Michael Duong, Vu N. Air Traffic Management Research Institute Engineering::Aeronautical engineering::Aviation Free Route Airspace Air Traffic Complexity Queuing Network Time-Varying Queuing Model Modeling and Simulation ASEAN APAC 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. Civil Aviation Authority of Singapore (CAAS) National Research Foundation (NRF) Published version This research is supported by the National Research Foundation, Singapore, and the Civil Aviation Authority of Singapore, under the Aviation Transformation Programme. 2023-12-28T05:03:02Z 2023-12-28T05:03:02Z 2023 Journal Article Itoh, E., Tominaga, K., Schultz, M. & Duong, V. N. (2023). Untangling complexity in ASEAN air traffic management through time-varying queuing models. Aerospace, 11(1), 11-. https://dx.doi.org/10.3390/aerospace11010011 2226-4310 https://hdl.handle.net/10356/172850 10.3390/aerospace11010011 1 11 11 en NRF-ATP4 Aerospace © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). application/pdf |
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Engineering::Aeronautical engineering::Aviation Free Route Airspace Air Traffic Complexity Queuing Network Time-Varying Queuing Model Modeling and Simulation ASEAN APAC |
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Engineering::Aeronautical engineering::Aviation Free Route Airspace Air Traffic Complexity Queuing Network Time-Varying Queuing Model Modeling and Simulation ASEAN APAC Itoh, Eri Tominaga, Koji Schultz, Michael Duong, Vu N. Untangling complexity in ASEAN air traffic management through time-varying queuing models |
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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. |
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Air Traffic Management Research Institute |
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Air Traffic Management Research Institute Itoh, Eri Tominaga, Koji Schultz, Michael Duong, Vu N. |
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Article |
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Itoh, Eri Tominaga, Koji Schultz, Michael Duong, Vu N. |
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Itoh, Eri |
title |
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_full |
Untangling complexity in ASEAN air traffic management through time-varying queuing models |
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Untangling complexity in ASEAN air traffic management through time-varying queuing models |
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Untangling complexity in ASEAN air traffic management through time-varying queuing models |
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untangling complexity in asean air traffic management through time-varying queuing models |
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2023 |
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https://hdl.handle.net/10356/172850 |
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1787153691297447936 |