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Analyzing tactical control strategies for aircraft arrivals at an airport using a queuing model |
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| Affiliation: | 1. China Business Network, Nanjing Rd 651., Shanghai 20040, China;2. TransSolutions, 14600 Trinity Blvd, Fort Worth, TX 76155, USA;3. Department of Industrial, Manufacturing, & System Engineering, The University of Texas at Arlington. Box 19017, Arlington, TX 76019, USA;4. Optimal Synthesis Inc, 95 First Street, Suite 240, Los Altos, CA 94022, USA;5. Department of Mechanical & Aerospace Engineering, The University of Texas at Arlington. Box 19023, Arlington, TX 76019, USA;1. Institute for Operations Research, University of Hamburg, Germany;2. Electronic Navigation Research Institute, Tokyo, Japan;1. Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building E40-240, Cambridge, MA 02139, USA;2. Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 33-218, Cambridge, MA 02139, USA |
| Abstract: | This paper proposes to analyze control strategies for arrival air traffic at an airport using a classical queuing model. The parameters of our model are estimated by means of a data-driven analysis of two years of radar tracks and flight plans for arrival flights at Tokyo International Airport from 2016 to 2017. Our results show that increasing the capacity with one or two more aircraft in the airspace up to 60 NM around the airport significantly mitigates arrival delays, even when assuming future, increased arrival traffic volumes. The outcomes of this study provide insights into the effectiveness of arrival control strategies and are seen as a means to recommend scenarios to be further analyzed with human-in-the-loop simulations. |
| Keywords: | Queuing theory Data analysis Stochastic Extended arrival management Air traffic management |
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