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Embry Riddle Aeronautical University

Integration of Unmanned Aerial Systems in Class E Airspace: The Effect on Air Traffic Controller Workload

Abstract

dc:description.abstract

<p>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.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science in Human Factors & Systems
Level thesis:degree_level
Thesis - Open Access
Discipline thesis:degree_discipline
Human Factors and Systems
Year
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Vengal, Jeeja S.

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://commons.erau.edu/edt/143
OAI identifier oai:identifier
oai:commons.erau.edu:edt-1142

Chain of custody

source
Harvested from
Embry Riddle Aeronautical University
Base URL
commons.erau.edu/do/oai/
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Vengal, Jeeja S.. Integration of Unmanned Aerial Systems in Class E Airspace: The Effect on Air Traffic Controller Workload. Thesis - Open Access thesis, 2011. https://commons.erau.edu/edt/143