Drones, Volume 10, Issue 2
2026 February - 78 articles
Cover Story: The rapid expansion of unmanned aircraft systems (UAS) and advanced air mobility (AAM) creates critical safety challenges for the National Airspace System (NAS). This study introduces a validated GIS-driven framework designed to bridge the gap between disconnected air traffic management (ATM) and UAS traffic management (UTM) systems. Using a case study at Purdue University Airport (KLAF), the research demonstrates how integrating heterogeneous data, including ADS-B, UAS flight logs, and FAA aeronautical data, into unified 3D models enables precise spatiotemporal analysis of shared airspace. By quantifying a near-miss interaction between a DJI M300 and a crewed Piper Archer, this work establishes a scalable foundation for AI-enhanced risk prediction and dynamic airspace management. View this paper
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Drones - ISSN 2504-446X