Student: Marc Brittain, graduate student in Aerospace Engineering, Iowa State University
Faculty Advisors: Dr. Peng Wei and Dr. Leifur Leifsson
Intelligent UAS Traffic Management System
Recent proposals for low-altitude airspace operations has initiated a demand for an autonomous air traffic control system that is 
needed to communicate with future intelligent aircraft, facilitate onboard autonomy or human operator decisions, and cope with the envisioned high-density and on-demand air traffic by providing automated sequencing and separation. I am currently working with Dr. Peng Wei and Dr. Leifur Leifsson at Iowa State University, where we are researching new techniques to enable autonomous air traffic control systems. This research integrates big data architecture and computation power as well as artificial intelligence that will coordinate pre-departure UAS flight plans, detect potential collisions in real-time, generate recommendations to resolve potential conflicts, pro-actively control any risk to people and objects on the ground during an emergency landing and identify the cause of collisions.
needed to communicate with future intelligent aircraft, facilitate onboard autonomy or human operator decisions, and cope with the envisioned high-density and on-demand air traffic by providing automated sequencing and separation. I am currently working with Dr. Peng Wei and Dr. Leifur Leifsson at Iowa State University, where we are researching new techniques to enable autonomous air traffic control systems. This research integrates big data architecture and computation power as well as artificial intelligence that will coordinate pre-departure UAS flight plans, detect potential collisions in real-time, generate recommendations to resolve potential conflicts, pro-actively control any risk to people and objects on the ground during an emergency landing and identify the cause of collisions.