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Publication type: Conference paper
Type of review: Peer review (publication)
Title: Synthetic aircraft trajectories generated with multivariate density models
Authors: Krauth, Timothé
Morio, Jérôme
Olive, Xavier
Figuet, Benoit
Monstein, Raphael
et. al: No
DOI: 10.3390/engproc2021013007
Published in: Engineering Proceedings
Volume(Issue): 13
Issue: 1
Page(s): 7
Conference details: 9th OpenSky Symposium, Brussels, Belgium, 18-19 November 2021
Issue Date: 30-Dec-2021
Publisher / Ed. Institution: MDPI
ISSN: 2673-4591
Language: English
Subjects: Air traffic management; Trajectory generation; Multivariate estimation; Statistical copula; Dimension reduction
Subject (DDC): 380: Transportation
629: Aeronautical, automotive engineering
Abstract: Aircraft trajectory generation is a high stakes problem with a wide scope of applications, including collision risk estimation, capacity management and airspace design. Most generation methods focus on optimizing a criterion under constraints to find an optimal path, or on predicting aircraft trajectories. Nevertheless, little in the way of contribution has been made in the field of the artificial generation of random sets of trajectories. This work proposes a new approach to model two-dimensional flows in order to build realistic artificial flight paths. The method has the advantage of being highly intuitive and explainable. Experiments were conducted on go-arounds at Zurich Airport, and the quality of the generated trajectories was evaluated with respect their shape and statistical distribution. The last part of the study explores strategies to extend the work to non-regularly shaped trajectories.
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Centre for Aviation (ZAV)
Appears in collections:Publikationen School of Engineering

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Krauth, T., Morio, J., Olive, X., Figuet, B., & Monstein, R. (2021). Synthetic aircraft trajectories generated with multivariate density models [Conference paper]. Engineering Proceedings, 13(1), 7.
Krauth, T. et al. (2021) ‘Synthetic aircraft trajectories generated with multivariate density models’, in Engineering Proceedings. MDPI, p. 7. Available at:
T. Krauth, J. Morio, X. Olive, B. Figuet, and R. Monstein, “Synthetic aircraft trajectories generated with multivariate density models,” in Engineering Proceedings, Dec. 2021, vol. 13, no. 1, p. 7. doi: 10.3390/engproc2021013007.
KRAUTH, Timothé, Jérôme MORIO, Xavier OLIVE, Benoit FIGUET und Raphael MONSTEIN, 2021. Synthetic aircraft trajectories generated with multivariate density models. In: Engineering Proceedings. Conference paper. MDPI. 30 Dezember 2021. S. 7
Krauth, Timothé, Jérôme Morio, Xavier Olive, Benoit Figuet, and Raphael Monstein. 2021. “Synthetic Aircraft Trajectories Generated with Multivariate Density Models.” Conference paper. In Engineering Proceedings, 13:7. MDPI.
Krauth, Timothé, et al. “Synthetic Aircraft Trajectories Generated with Multivariate Density Models.” Engineering Proceedings, vol. 13, no. 1, MDPI, 2021, p. 7,

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