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Conflict probability and incrossing probability in air traffic management

Authors: Henk A. P. Blom; G. J. Bakker;

Conflict probability and incrossing probability in air traffic management

Abstract

Studies performance metrics that are of use in the evaluation of conflict detection and resolution in air traffic management. The metrics studied are conflict probability and incrossing probability, both of which are closely related to the safety criteria used by the civil aviation community. The main contribution of the paper is to develop mathematical characterisations for these metrics, and to show typical differences in their behaviour through numerical evaluations of these metrics for some simple examples.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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