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 |
| Summary: | 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. |
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| ISSN: | 2271-2097 |