T
Thomas Prevot
Researcher at Ames Research Center
Publications - 74
Citations - 1239
Thomas Prevot is an academic researcher from Ames Research Center. The author has contributed to research in topics: Air traffic control & Free flight. The author has an hindex of 18, co-authored 74 publications receiving 1139 citations. Previous affiliations of Thomas Prevot include San Jose State University.
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Unmanned Aircraft System Traffic Management (UTM) Concept of Operations
TL;DR: The Concept of Operations (ConOps) for NASA’s UAS Traffic Management (UTM) research initiative will describe the UTM ConOps, focused on safely enabling large-scale small UAS (sUAS) operations in low altitude airspace.
Proceedings ArticleDOI
UAS Traffic Management (UTM) Concept of Operations to Safely Enable Low Altitude Flight Operations
Journal ArticleDOI
Toward Automated Air Traffic Control—Investigating a Fundamental Paradigm Shift in Human/Systems Interaction
TL;DR: Three human-in-the-loop simulation studies were conducted at the NASA Ames Research Center with the overarching goal of determining whether the automated separation assurance concept can be integrated into air traffic control operations in an acceptable and safe manner and found that the concept has the potential to solve the envisioned airspace capacity problem.
Initial Evaluation of NextGen Air/Ground Operations with Ground-Based Automated Separation Assurance
TL;DR: In this article, a simulation of air/ground operations with ground-based automated separation assurance has been presented, in which controllers and pilots were confronted with a challenging situation: Ground-based separation automation was managing the trajectories for all aircraft at 2x and 3x traffic densities without controller involvement.
Joint NASA Ames/Langley Experimental Evaluation of Integrated Air/Ground Operations for En Route Free Maneuvering
Richard Barhydt,Parimal Kopardekar,Vernol Battiste,Nathan A. Doble,Walter W. Johnson,Paul U. Lee,Thomas Prevot,Nancy Smith +7 more
TL;DR: In this paper, the authors conducted a joint human-in-the-loop experiment with professional airline pilots and air traffic controllers in order to investigate the feasibility of distributed air-ground traffic management (DAG-TM).