Results of Trajectory Prediction Sensitivity Analysis Using Monte Carlo Simulations Based on Inputs' Distributions
datasetposted on 31.10.2018 by Julia Rudnyk
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.