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Title: Devising strategies for aircraft arrival processes via distance-based queuing models
Authors: Itoh, Eri
Schultz, Michael
Srinivas, Athota
Duong, Vu
Keywords: Engineering::Aeronautical engineering::Aviation
Issue Date: 2020
Source: Itoh, E., Schultz, M., Srinivas, A., & Duong, V. (2020). Devising strategies for aircraft arrival processes via distance-based queuing models. Proceedings of SESAR Innovation Days 2020, 1-8.
metadata.dc.contributor.conference: SESAR Innovation Days 2020
Abstract: Accommodating highly-frequented air traffic at an airport, managing aircraft arrivals is one of the most important functions in the operation. This paper introduces distance-based queuing models, which enable us to present aircraft arrival processes in accordance with the distance at the destination airport, and estimates bottlenecks and delay time in the current and future arrival traffic flows. Strategies to optimize aircraft arrival processes are discussed based on the proposed models applying for two case study airports, Tokyo International Airport and Singapore Changi International Airport. Stochastic parameters in the models are identified using large volume of flight plan and track data-sets, including actual radar data and ADS-B data. Analyzing different features of arrival process at the case study airports provides insights into arrival control strategies and contributes to establish systematic approaches for designing arrival management for long-range traffic flows.
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Air Traffic Management Research Institute 
Rights: © 2020 SESARJU. All rights reserved.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers

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