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Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: Collision risk assessment in terminal manoeuvring areas based on trajectory generation methods
Autor/-in: Krauth, Timothé
Figuet, Benoit
Olive, Xaviet
Morio, Jérôme
et. al: No
DOI: 10.21256/zhaw-28805
Angaben zur Konferenz: 15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023
Erscheinungsdatum: 6-Jun-2023
Verlag / Hrsg. Institution: ATM Seminar
Sprache: Englisch
Schlagwörter: Air traffic management; Collisiosn risk assessment; Monte Carlo simulation; Trajectory generation; Deep generative modelling
Fachgebiet (DDC): 380: Verkehr
510: Mathematik
Zusammenfassung: Collision risk models are the mainstay of collision avoidance studies. We address here methods based on Monte Carlo simulations to estimate collision risk probabilities. As observations of real trajectories are not enough to estimate probabilities of losses of separation, which are rare events, generated synthetic trajectories address this limitation. In this paper, we build upon a recently published data-based statistical trajectory generation method based on Variational Autoencoders and estimate the risk of mid-air collision between arriving aircraft that are in the downwind and departing aircraft that are climbing-out in a southerly direction at Paris–Orly airport. We compute the probabilities of losses of separation and discuss the difference by an order of magnitude that we found in the results, depending on the runway configuration in place.
URI: https://digitalcollection.zhaw.ch/handle/11475/28805
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Zentrum für Aviatik (ZAV)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Krauth, T., Figuet, B., Olive, X., & Morio, J. (2023, June 6). Collision risk assessment in terminal manoeuvring areas based on trajectory generation methods. 15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023. https://doi.org/10.21256/zhaw-28805
Krauth, T. et al. (2023) ‘Collision risk assessment in terminal manoeuvring areas based on trajectory generation methods’, in 15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023. ATM Seminar. Available at: https://doi.org/10.21256/zhaw-28805.
T. Krauth, B. Figuet, X. Olive, and J. Morio, “Collision risk assessment in terminal manoeuvring areas based on trajectory generation methods,” in 15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023, Jun. 2023. doi: 10.21256/zhaw-28805.
KRAUTH, Timothé, Benoit FIGUET, Xaviet OLIVE und Jérôme MORIO, 2023. Collision risk assessment in terminal manoeuvring areas based on trajectory generation methods. In: 15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023. Conference paper. ATM Seminar. 6 Juni 2023
Krauth, Timothé, Benoit Figuet, Xaviet Olive, and Jérôme Morio. 2023. “Collision Risk Assessment in Terminal Manoeuvring Areas Based on Trajectory Generation Methods.” Conference paper. In 15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023. ATM Seminar. https://doi.org/10.21256/zhaw-28805.
Krauth, Timothé, et al. “Collision Risk Assessment in Terminal Manoeuvring Areas Based on Trajectory Generation Methods.” 15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023, ATM Seminar, 2023, https://doi.org/10.21256/zhaw-28805.


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