| Issue |
ITM Web Conf.
Volume 8, 2016
International Conference on Big Data and its Applications (ICBDA 2016)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/itmconf/20160801001 | |
| Published online | 22 November 2016 | |
New data mining technique for multidimensional aircraft trajectories analysis
MIPT, Moscow, Russia
* Corresponding author: solnceva.chalei@gmail.com
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.
© Owned by the authors, published by EDP Sciences, 2016
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