Abstract
As unmanned aerial systems (UASs) increasingly integrate into the US national airspace system, there is an increasing need to characterize how commercial and recreational UASs may encounter each other. To inform the development and evaluation of safety critical technologies, we demonstrate a methodology to analytically calculate all potential relative geometries between different UAS operations performing inspection missions. This method is based on a previously demonstrated technique that leverages open source geospatial information to generate representative unmanned aircraft trajectories. Using open source data and parallel processing techniques, we performed trillions of calculations to estimate the relative horizontal distance between geospatial points across sixteen locations.
Highlights
The continuing integration of unmanned aerial system (UAS) operations into the National AirspaceSystem (NAS) requires new or updated regulations, policies, and technologies to maintain safety and enable efficient use of the airspace
The experiment design was based on an approach to generate representative UAS trajectories that take into account their operational intent by leveraging open source datasets, such as OpenStreetMap (OSM), “a knowledge collective that provides user-generated street maps [13].”
We demonstrated an analytical method to characterize potential UAS encounters
Summary
The continuing integration of unmanned aerial system (UAS) operations into the National AirspaceSystem (NAS) requires new or updated regulations, policies, and technologies to maintain safety and enable efficient use of the airspace. One enabling technology to help address several UAS airspace integration gaps are airspace encounter models, which have been fundamental to quantifying airborne collision risk for manned and unmanned operation [1,2,3,4,5]. These models represent how aircraft behavior and their relative geometries evolve during close encounters. They have supported the development of surveillance and communication requirements [6,7]
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