Dynamic separation minima prediction with collision risk modelling (CRM)

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dc.contributor.authorNnamani, Christantus O.
dc.contributor.authorGong, Tingyu
dc.contributor.authorXu, Yan
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2023-11-17T16:00:58Z
dc.date.available2023-11-17T16:00:58Z
dc.date.issued2023-11-10
dc.description.abstractIn this paper, we modelled the geometry between 2 proximate aircraft as an oblate-spheroid and obtained a collision risk model based on collision probability. The methodology entails translating the communication, navigation and surveillance error characteristics, and wind uncertainty into the spatial domain of spheroid. Furthermore, we used the collision probability to design a dynamic separation minima based on the parameters of the oblate-spheroid geometry. The results showed that by varying the parameters of the spheroid, allows for a dynamic setting of the separation minima. The collision probability was compared to Monte Carlo simulations as a baseline model. Therefore we proposed a dynamic configuration of the separation minima between aircraft as a function of the collaborative geometry to increase the airspace capacity, especially with great demand from unmanned operations.en_UK
dc.identifier.citationNnamani CO, Gong T, Xu Y, Tsourdos A. (2023) Dynamic separation minima prediction with collision risk modelling (CRM). In: IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC) 2023, 1-5 October 2023, Barcelona, Spainen_UK
dc.identifier.eisbn979-8-3503-3357-2
dc.identifier.isbn979-8-3503-3358-9
dc.identifier.issn2155-7195
dc.identifier.urihttps://doi.org/10.1109/DASC58513.2023.10311317
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20559
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleDynamic separation minima prediction with collision risk modelling (CRM)en_UK
dc.typeConference paperen_UK

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