Background Risk Assessment Tool to Enable Airspace Design

Civil drone operations require robust collision risk mitigation between drones and crewed aircraft to ensure safety. This presentation introduces a layered conflict management approach to mitigate collision risk to an acceptable level. The approach strategically partitions airspace into operational zones to minimize the interaction between drones and crewed aircraft. To define airspace partitions, we leverage nationwide air traffic radar data, efficient H3 geospatial indexing, and non-aviation geospatial data, such as roadway topography, for contextualization. The result is a significant expansion of usable airspace for drones compared to prior methods, enabling efficient airspace utilization. The method is demonstrated in the complex airspace surrounding Van Nuys Airport, California, highlighting its value for scalable and safe drone integration.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.15310643
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Background Risk Assessment Tool to Enable Airspace Design

Zenodo (CERN European Organization for Nuclear Research)
Advanced Fluorescence Microscopy Techniques
article

Background Risk Assessment Tool to Enable Airspace Design

article en

Abstract

Civil drone operations require robust collision risk mitigation between drones and crewed aircraft to ensure safety. This presentation introduces a layered conflict management approach to mitigate collision risk to an acceptable level. The approach strategically partitions airspace into operational zones to minimize the interaction between drones and crewed aircraft. To define airspace partitions, we leverage nationwide air traffic radar data, efficient H3 geospatial indexing, and non-aviation geospatial data, such as roadway topography, for contextualization. The result is a significant expansion of usable airspace for drones compared to prior methods, enabling efficient airspace utilization. The method is demonstrated in the complex airspace surrounding Van Nuys Airport, California, highlighting its value for scalable and safe drone integration.

Zenodo (CERN European Organization for Nuclear Research)
MIT Lincoln Laboratory (US), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 65%
Advanced Fluorescence Microscopy Techniques
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