== Abstract ==

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One possible option to cope with increasing air traffic while maintaining or improving safety is the use of advanced decision support tools. The objective of the study presented here is to develop an evaluation environment together with an evaluation methodology to compare different conflict detection algorithms. The motivation is to estimate the benefits" of the conflict detection enhancements proposed in a previous work An environment to quantitatively evaluate and compare conflict detection algorithms has been developed. A geometric, and of two probabilistic approaches were evaluated using radar data.. While the use of a simple trajectory prediction precludes an operational evaluation, relative comparisons are still relevant. It was found that the modified probabilistic error model, approximating better the measured error, shows a decrease of the missed alert rate, while maintaining the false alert rate. The comparison of the geometric and probabilistic algorithms highlighted the sensitivity of the latter to parameters like the conflict probability threshold and the error model

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== Original document ==

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The different versions of the original document can be found in:

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* [http://pdfs.semanticscholar.org/85ba/b0dfc0a212f67e53ccb94f4ad6e7da270c56.pdf http://pdfs.semanticscholar.org/85ba/b0dfc0a212f67e53ccb94f4ad6e7da270c56.pdf]

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* [http://arc.aiaa.org/doi/pdf/10.2514/6.2001-4053 http://arc.aiaa.org/doi/pdf/10.2514/6.2001-4053],

: [http://dx.doi.org/10.2514/6.2001-4053 http://dx.doi.org/10.2514/6.2001-4053]

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* [http://arc.aiaa.org/doi/pdf/10.2514/6.2001-4053 http://arc.aiaa.org/doi/pdf/10.2514/6.2001-4053],

: [https://academic.microsoft.com/#/detail/2334730085 https://academic.microsoft.com/#/detail/2334730085]

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