The 10th OpenSky Symposium 2022
DOI: 10.3390/engproc2022028002
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Large Landing Trajectory Dataset for Go-Around Analysis

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

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Cited by 4 publications
(1 citation statement)
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“…Note that, as stated in Section 4.2, it is assumed that every time a take-off is released, an aircraft is on the approach of runway 14. P(GA) was estimated by using the dataset proposed by Monstein et al [33], which contains a large number of both landings and GAs at Zurich Airport (amongst many others). This dataset has been expanded to include landings from 2020 to 2023, allowing for a more precise estimation of the GA rate on runway 14 at Zurich Airport.…”
Section: Collision Probabilitiesmentioning
confidence: 99%
“…Note that, as stated in Section 4.2, it is assumed that every time a take-off is released, an aircraft is on the approach of runway 14. P(GA) was estimated by using the dataset proposed by Monstein et al [33], which contains a large number of both landings and GAs at Zurich Airport (amongst many others). This dataset has been expanded to include landings from 2020 to 2023, allowing for a more precise estimation of the GA rate on runway 14 at Zurich Airport.…”
Section: Collision Probabilitiesmentioning
confidence: 99%