4.6 Article

Airspace Geofencing and Flight Planning for Low-Altitude, Urban, Small Unmanned Aircraft Systems

Journal

APPLIED SCIENCES-BASEL
Volume 12, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/app12020576

Keywords

geofencing; unmanned aircraft systems; UAS traffic management; air traffic control; UAS; low-altitude airspace; computational geometry; path planning; route deconfliction; separation assurance; map processing

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This paper discusses the importance of airspace geofencing in low-altitude Unmanned Aircraft System (UAS) Traffic Management (UTM). It presents the application of three-dimensional flight volumization algorithms for managing airspace geofences, including keep-in and keep-out zones. The paper proposes solutions for path planning and deconfliction using computational geometry and urban map data processing algorithms. The effectiveness of the proposed algorithms is validated through Monte Carlo simulations and benchmark evaluation in a real-world urban environment.
Airspace geofencing is a key capability for low-altitude Unmanned Aircraft System (UAS) Traffic Management (UTM). Geofenced airspace volumes can be allocated to safely contain compatible UAS flight operations within a fly-zone (keep-in geofence) and ensure the avoidance of no-fly zones (keep-out geofences). This paper presents the application of three-dimensional flight volumization algorithms to support airspace geofence management for UTM. Layered polygon geofence volumes enclose user-input waypoint-based 3-D flight trajectories, and a family of flight trajectory solutions designed to avoid keep-out geofence volumes is proposed using computational geometry. Geofencing and path planning solutions are analyzed in an accurately mapped urban environment. Urban map data processing algorithms are presented. Monte Carlo simulations statistically validate our algorithms, and runtime statistics are tabulated. Benchmark evaluation results in a Manhattan, New York City low-altitude environment compare our geofenced dynamic path planning solutions against a fixed airway corridor design. A case study with UAS route deconfliction is presented, illustrating how the proposed geofencing pipeline supports multi-vehicle deconfliction. This paper contributes to the nascent theory and the practice of dynamic airspace geofencing in support of UTM.

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