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Air Mobility Trajectory Anomaly Detection and Operational Advancement
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2022-06-01
[PDF-3.59 MB]
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Edition:Final Report September 2021 – June 2022
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Abstract:The density of aircraft operating in the Salt Lake valley over the next several years is projected to explode in density and therefore push the complexity of air traffic operations beyond the ability of human air traffic controllers. Despite the progress made by NASA and industry during the AAM X3 simulation activities, a cohesive model of air travel in low altitude airspace remains at large. The research developed at the University of Utah, called the Lane-Based Approach, models the set of requestable trajectories of aircraft as a set of virtual highways and a specific method of deconfliction. This model does not preclude the current state of the art in unmanned air traffic management (UTM), but builds on it to enable policymakers and engineers to plan safe coordinated airspace access. This model also provides for a form of trajectory analysis that is not available with other deconfliction strategies. By using the virtual highways (or lanes) as a model for air travel, anomalous flights can be detected and classified within a unified framework. This framework enables regulators to potentially detect threats, such as hijacked, rogue, or misbehaving unmanned aerial systems (UAS).
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