U-AGREE D3.6 Final Collision Risk Model

This document presents the final formulation of the collision risk model developed by the U-AGREE consortium. The model applies a Monte Carlo approach to estimate the average number of collisions over a large number of simulated flight hours and to derive the corresponding collision frequency. Realistic trajectories are generated using a PX4 Software-in-the-Loop (SITL) simulator to capture representative UAS flight behaviour. The proposed model has been benchmarked against the extended Endoh’s model developed as part of the initial U-AGREE collision risk model. In addition, a sensitivity assessment has been conducted to identify the main sources of uncertainty that may affect the obtained results

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-22
DOI
https://doi.org/10.5281/zenodo.21492263
Primary Topic
Air Traffic Management and Optimization
Type
article
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article

U-AGREE D3.6 Final Collision Risk Model

Universitat Politècnica de València
Zenodo (CERN European Organization for Nuclear Research)
Air Traffic Management and Optimization
article

U-AGREE D3.6 Final Collision Risk Model

Universitat Politècnica de València
article en

Abstract

This document presents the final formulation of the collision risk model developed by the U-AGREE consortium. The model applies a Monte Carlo approach to estimate the average number of collisions over a large number of simulated flight hours and to derive the corresponding collision frequency. Realistic trajectories are generated using a PX4 Software-in-the-Loop (SITL) simulator to capture representative UAS flight behaviour. The proposed model has been benchmarked against the extended Endoh’s model developed as part of the initial U-AGREE collision risk model. In addition, a sensitivity assessment has been conducted to identify the main sources of uncertainty that may affect the obtained results

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Air Traffic Management and Optimization
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