Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP

As UASs increasingly integrate in to the US national airspace system, there is increasing need to characterize how UAS may encounter each other. To maintain safety and mitigate the risk of collisions during these encounter, vehicle to vehicle (V2V) technologies may be required. To inform the development of V2V and other safety critical technologies, we demonstrate a methodology to analytically calculate all potential relative geometries between different UAS operations performing inspection missions along three different types of linear infrastructure. This method is based on a previously demonstrated technique that leverages open source geospatial information to generate representative unmanned aircraft trajectories. Using high performance computing resources, we performed trillions of calculations to estimate the relative distance and azimuth between long linear infrastructure inspection missions across sixteen locations.