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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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/146567 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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