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
- 802 bytes md5 README.txt
- 1,482,036 bytes md5 data.zip
- download all files (zip)