Trajectory segments with detailed predictability performance metrics and clusterisation for two days of traffic over South West Functional Airspace Block
| Main Author: | Barragán Montes, Rocío |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2018
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| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/s3m26t7f6v |
Daftar Isi:
- This dataset includes two days of flight trajectory information over South West (SW) Functional Airspace Block (FAB). The flight trajectories have been decomposed into segments with individual information regarding three-dimensional deviations and a global predictability non-conformance metric. Using MakeDensityBasedClusterer algorithm and SimpleKMeans as clusterer in Weka 3.9.1, the 8 clusters assignment is included in this dataset. The attributes acting as explanatory variables are: * Segment type * 2D deviation * Delta flight level threshold normalised at the destination point * Delay range at destination point * Point of origin (A) * Point of destination (B) * Diversion point (C) * Is origin point an airport * Is destination point an airport * P_norm (Predictability_normalised) The attributes studied as response variables are also detailed in this dataset.