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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-28805
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dc.contributor.authorKrauth, Timothé-
dc.contributor.authorFiguet, Benoit-
dc.contributor.authorOlive, Xaviet-
dc.contributor.authorMorio, Jérôme-
dc.date.accessioned2023-09-29T09:31:14Z-
dc.date.available2023-09-29T09:31:14Z-
dc.date.issued2023-06-06-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/28805-
dc.description.abstractCollision 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.de_CH
dc.language.isoende_CH
dc.publisherATM Seminarde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectAir traffic managementde_CH
dc.subjectCollisiosn risk assessmentde_CH
dc.subjectMonte Carlo simulationde_CH
dc.subjectTrajectory generationde_CH
dc.subjectDeep generative modellingde_CH
dc.subject.ddc380: Verkehrde_CH
dc.subject.ddc510: Mathematikde_CH
dc.titleCollision risk assessment in terminal manoeuvring areas based on trajectory generation methodsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitZentrum für Aviatik (ZAV)de_CH
dc.identifier.doi10.21256/zhaw-28805-
zhaw.conference.details15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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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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