New data mining technique for multidimensional aircraft trajectories analysis
Under conditions of growing airport workload, airspace sectorization is necessary for accidents prevention. Sectorization should be performed taking into account regular traffic of aircrafts. A new data mining technique, solving the problem, is described. It allows to fulfill stable partition of air...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2016-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/itmconf/20160801001 |
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doaj-282740afe2e0441f841c2d1e04e80323 |
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Article |
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doaj-282740afe2e0441f841c2d1e04e803232021-02-02T08:17:42ZengEDP SciencesITM Web of Conferences2271-20972016-01-0180100110.1051/itmconf/20160801001itmconf_icbda2016_01001New data mining technique for multidimensional aircraft trajectories analysisSolntseva-Chaley Maria0MIPTUnder conditions of growing airport workload, airspace sectorization is necessary for accidents prevention. Sectorization should be performed taking into account regular traffic of aircrafts. A new data mining technique, solving the problem, is described. It allows to fulfill stable partition of aircraft intent trajectory sample into the groups (asymptotically converged beams), corresponding to the same runway approaches. Method is taking into account special geometric characteristics (curvature, torsion and multiple intersections) of multidimensional space trajectories of aircrafts.http://dx.doi.org/10.1051/itmconf/20160801001 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Solntseva-Chaley Maria |
| spellingShingle |
Solntseva-Chaley Maria New data mining technique for multidimensional aircraft trajectories analysis ITM Web of Conferences |
| author_facet |
Solntseva-Chaley Maria |
| author_sort |
Solntseva-Chaley Maria |
| title |
New data mining technique for multidimensional aircraft trajectories analysis |
| title_short |
New data mining technique for multidimensional aircraft trajectories analysis |
| title_full |
New data mining technique for multidimensional aircraft trajectories analysis |
| title_fullStr |
New data mining technique for multidimensional aircraft trajectories analysis |
| title_full_unstemmed |
New data mining technique for multidimensional aircraft trajectories analysis |
| title_sort |
new data mining technique for multidimensional aircraft trajectories analysis |
| publisher |
EDP Sciences |
| series |
ITM Web of Conferences |
| issn |
2271-2097 |
| publishDate |
2016-01-01 |
| description |
Under conditions of growing airport workload, airspace sectorization is necessary for accidents prevention. Sectorization should be performed taking into account regular traffic of aircrafts. A new data mining technique, solving the problem, is described. It allows to fulfill stable partition of aircraft intent trajectory sample into the groups (asymptotically converged beams), corresponding to the same runway approaches. Method is taking into account special geometric characteristics (curvature, torsion and multiple intersections) of multidimensional space trajectories of aircrafts. |
| url |
http://dx.doi.org/10.1051/itmconf/20160801001 |
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