Results of Trajectory Prediction Sensitivity Analysis Using Monte Carlo Simulations Based on Inputs' Distributions

Datacite citation style:
Rudnyk, Julia (2018): Results of Trajectory Prediction Sensitivity Analysis Using Monte Carlo Simulations Based on Inputs' Distributions. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:426fa9ba-576b-4dae-8d55-5c734c096d0a
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This data collection contains: trajectory predictor inputs' distributions obtained from observed (surveillance) data; and the results of a sensitivity analysis on the prediction uncertainty and the correlation between inputs and prediction errors.

History

  • 2018-10-31 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/pdf, application/vnd.ms-excel, application/zip, image/png, text/plain

Organizations

MUAC, Eurocontrol;
TU Delft, Faculty of Aerospace Engineering

DATA

Files (2)