Conflict probability estimation between aircraft with dynamic importance splitting

Damien Jacquemart 1, 2 Jérôme Morio 1
2 ASPI - Applications of interacting particle systems to statistics
IRMAR - Institut de Recherche Mathématique de Rennes, Inria Rennes – Bretagne Atlantique
Abstract : In this article, conflict probability between aircraft in uncontrolled airspace is estimated. For that purpose, one reviews how to characterize aircraft trajectories with stochastic processes. Indeed, Markov chain model enables us to simulate aircraft trajectories. Conflict probabilities can be estimated with Monte Carlo simulations. Nevertheless, since Monte Carlo methods are not efficient to estimate small probabilities, one proposes the use of the important splitting method. This algorithm is applied on realistic situations of aircraft conflict.
Type de document :
Article dans une revue
Safety Science, Elsevier, 2013, 51 (1), pp.94-100. 〈10.1016/j.ssci.2012.05.010〉
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https://hal.inria.fr/hal-00911787
Contributeur : Francois Le Gland <>
Soumis le : vendredi 29 novembre 2013 - 20:04:52
Dernière modification le : jeudi 11 janvier 2018 - 06:24:24

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Damien Jacquemart, Jérôme Morio. Conflict probability estimation between aircraft with dynamic importance splitting. Safety Science, Elsevier, 2013, 51 (1), pp.94-100. 〈10.1016/j.ssci.2012.05.010〉. 〈hal-00911787〉

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