Aircraft conflict detection: A method for computing the probability of conflict based on Markov chain approximation

We study the automated aircraft conflict detection problem. Specifically, we introduce a method for estimating the probability of conflict for two-aircraft encounters at a fixed altitude. The spatial correlation between the wind perturbations to the aircraft positions is taken into account. The proc...

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Bibliographic Details
Published in2003 European Control Conference (ECC) pp. 2225 - 2230
Main Authors Hu, Jianghai, Prandini, Maria
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.09.2003
Subjects
Air traffic management
Aircraft
aircraft conflict prediction
Altitude
Approximation
Approximation methods
Atmospheric modeling
Computational modeling
Correlation
Markov chain approximation
Markov chains
Markov processes
Mathematical analysis
Perturbation methods
Stochastic processes
wind perturbation
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Summary:We study the automated aircraft conflict detection problem. Specifically, we introduce a method for estimating the probability of conflict for two-aircraft encounters at a fixed altitude. The spatial correlation between the wind perturbations to the aircraft positions is taken into account. The procedure used to estimate the probability of conflict is based on the introduction of a Markov chain approximation of the stochastic process describing the relative position of the aircraft.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISBN:3952417378
9783952417379
DOI:10.23919/ECC.2003.7085297