Analyzing tactical control strategies for aircraft arrivals at an airport using a queuing model

Eri Itoh, M.A. Mitici

Research output: Contribution to journalArticleScientificpeer-review

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.
Original languageEnglish
Number of pages13
JournalJournal of Air Transport Management
Volume89
Publication statusPublished - 2020

Keywords

  • Queuing theory
  • Data analysis
  • Stochastic
  • Extended arrival management
  • Air traffic management

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