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Dynamic separation minima prediction with collision risk modelling (CRM)

  • Christantus O. Nnamani*
  • , Tingyu Gong
  • , Yan Xu
  • , Antonios Tsourdos
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In 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.

Original languageEnglish
Title of host publicationDASC 2023 - Digital Avionics Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350333572
DOIs
StatePublished - 2023
Externally publishedYes
Event42nd IEEE/AIAA Digital Avionics Systems Conference, DASC 2023 - Barcelona, Spain
Duration: 1 Oct 20235 Oct 2023

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209

Conference

Conference42nd IEEE/AIAA Digital Avionics Systems Conference, DASC 2023
Country/TerritorySpain
CityBarcelona
Period1/10/235/10/23

Keywords

  • CRM
  • Collision model
  • collision probability
  • manned and unmanned aircraft
  • risk
  • separation minima

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