Date of Award
Fall 2011
Access Type
Thesis - Open Access
Degree Name
Master of Science in Human Factors & Systems
Department
Human Factors and Systems
Committee Chair
Shawn Doherty, Ph.D.
First Committee Member
Dahai Liu, Ph.D.
Second Committee Member
Ted Beneigh, Ph.D.
Abstract
As technology rapidly advances and our imagination is no longer fantasy but instead reality, the aviation community needs to concentrate on the harsh truth of airspace safety. In the situation of integrating unmanned aerial systems (UASs) into the National airspace, UASs outside of terminal areas would generally be permitted to fly their preferred routes, and self-separate, with minimal intervention from air traffic control. From an air traffic control perspective, the integration could raise a number of human performance problems including workload extremes and passive-monitoring demands. One fundamental requirement for operation in the National Air Space is to preserve the safety of the general public. This paper describes an experimental evaluation of the effect different levels of UAS intent information has on air traffic controller workload. The simulation specifically manipulates intent sharing, that is, whether unmanned aerial vehicles provided advance notice of their intended maneuvers. The Effects on air traffic controller workload when control capability is altered were also explored.
Scholarly Commons Citation
Vengal, Jeeja S., "Integration of Unmanned Aerial Systems in Class E Airspace: The Effect on Air Traffic Controller Workload" (2011). Doctoral Dissertations and Master's Theses. 143.
https://commons.erau.edu/edt/143
Included in
Aviation Safety and Security Commons, Multi-Vehicle Systems and Air Traffic Control Commons
