Modeling Aircraft Departure at a Runway Using a Time-Varying Fluid Queue
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Contributors
Abstract
Reducing the length of departure queues at runway entry points is one of the most important requirements for reducing aircraft traffic congestion and fuel consumption at airports. This study designs an aircraft departure model at a runway using a time-varying fluid queue. The proposed model enables us to determine the aircraft waiting time in the departure queue and to evaluate effective control approaches for assigning suitable holds at gates rather than runway entry points. As a case study, this study modeled the departure queue at runway 05 of Tokyo International Airport for an entire day of operations. Using actual traffic data of departures at the airport, the model estimates that aircraft spend a total of 2.5 h departure waiting time in a day at runway 05. Considering the stochastic nature of actual departure traffic, the relevance of the proposed model is discussed using validation criteria. The model estimation shows a reasonable, expected order of magnitude compared with the departure queue recorded in the actual traffic data. Furthermore, ecological and economic benefits are quantitatively evaluated assuming a reduction in the departure queue length. Our results show that about one kiloton of fuel oil per year is wasted due to aircraft waiting to depart from a single departure runway.
Details
Original language | English |
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Article number | 119 |
Journal | Aerospace |
Volume | 9 |
Issue number | 3 |
Publication status | Published - 25 Feb 2022 |
Peer-reviewed | Yes |
External IDs
Scopus | 85125778928 |
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Keywords
Sustainable Development Goals
Keywords
- airport operations, data analysis, departure air traffic, queuing theory, runway management