The use of Unmanned Aerial Systems (UASs) is expanding speedily. This results in a need to integrate UAS traffic into non-segregated airspace. However, this integration introduces risks of mid-air collisions between UASs and manned aircraft (MA) in the airspace. To deal with these issues, we present two models that work together to assess the risk of a mid-air collision between a UAS and another manned aircraft operating in Canada’s Northern airspace. The first model represents a part of Canada's Northern airspace and the aircraft and UAS traffic in it. The second model is an Uncorrelated Encounter Model (UEM) which determines whether or not a mid-air collision has occurred between a UAS and an aircraft. These two models are integrated to form a UAS-UEM model which determines the number of mid-air collisions in several UAS and aircraft flight simulations. Our results show a low probability for a mid-air collision between a UAS and an aircraft in the airspace region of interest.

Cell-DEVS, Mid-Air Collision (MAC), Unmanned Aerial System (UAS)
4th International Conference of Computing for Engineering and Sciences, ICCES 2018
Department of Systems and Computer Engineering

Oyelowo, I. (Ifeoluwa), Artacho, B. (Bruno), O’Young, S. (Siu), & Wainer, G.A. (2018). Using cell-DEVS for prototyping unmanned aircraft system traffic simulation. In ACM International Conference Proceeding Series.