Devising strategies for aircraft arrival processes via distance-based queuing models
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 destina...
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sg-ntu-dr.10356-1465672021-03-06T20:10:24Z Devising strategies for aircraft arrival processes via distance-based queuing models Itoh, Eri Schultz, Michael Srinivas, Athota Duong, Vu School of Mechanical and Aerospace Engineering SESAR Innovation Days 2020 Air Traffic Management Research Institute Engineering::Aeronautical engineering::Aviation Queuing Theory Data Science 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. Civil Aviation Authority of Singapore (CAAS) This research was supported by JSPS KAKENHI Grant Number 20H04237, Japan Civil Aviation Bureau (JCAB) and the Civil Aviation Authority of Singapore. The authors are grateful to JCAB for providing air traffic data and to Ms. Mayumi Ohnuki for assisting data preparation and figure corrections. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors. 2021-03-01T07:32:40Z 2021-03-01T07:32:40Z 2020 Conference Paper 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. https://hdl.handle.net/10356/146567 1 8 en © 2020 SESARJU. All rights reserved. application/pdf |
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Engineering::Aeronautical engineering::Aviation Queuing Theory Data Science Itoh, Eri Schultz, Michael Srinivas, Athota Duong, Vu Devising strategies for aircraft arrival processes via distance-based queuing models |
description |
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. |
author2 |
School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Itoh, Eri Schultz, Michael Srinivas, Athota Duong, Vu |
format |
Conference or Workshop Item |
author |
Itoh, Eri Schultz, Michael Srinivas, Athota Duong, Vu |
author_sort |
Itoh, Eri |
title |
Devising strategies for aircraft arrival processes via distance-based queuing models |
title_short |
Devising strategies for aircraft arrival processes via distance-based queuing models |
title_full |
Devising strategies for aircraft arrival processes via distance-based queuing models |
title_fullStr |
Devising strategies for aircraft arrival processes via distance-based queuing models |
title_full_unstemmed |
Devising strategies for aircraft arrival processes via distance-based queuing models |
title_sort |
devising strategies for aircraft arrival processes via distance-based queuing models |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/146567 |
_version_ |
1695706180161110016 |