Abstract

This paper describes the integration, evaluation, and results from a high-fidelity human-in-the-loop (HITL) simulation of key NASA Air Traffic Management Technology Demonstration - 1 (ATD- 1) technologies implemented in an enhanced version of the FAA's Standard Terminal Automation Replacement System (STARS) platform. These ATD-1 technologies include: (1) a NASA enhanced version of the FAA's Time-Based Flow Management, (2) a NASA ground-based automation technology known as controller-managed spacing (CMS), and (3) a NASA advanced avionics airborne technology known as flight-deck interval management (FIM). These ATD-1 technologies have been extensively tested in large-scale HITL simulations using general-purpose workstations to study air transportation technologies. These general purpose workstations perform multiple functions and are collectively referred to as the Multi-Aircraft Control System (MACS). Researchers at NASA Ames Research Center and Raytheon collaborated to augment the STARS platform by including CMS and FIM advisory tools to validate the feasibility of integrating these automation enhancements into the current FAA automation infrastructure. NASA Ames acquired three STARS terminal controller workstations, and then integrated the ATD-1 technologies. HITL simulations were conducted to evaluate the ATD-1 technologies when using the STARS platform. These results were compared with the results obtained when the ATD-1 technologies were tested in the MACS environment. Results collected from the numerical data show acceptably minor differences, and, together with the subjective controller questionnaires showing a trend towards preferring STARS, validate the ATD-1/STARS integration.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/dasc.2014.6979407 under the license cc0
https://www.aviationsystems.arc.nasa.gov/publications/2014/DASC2014_Witzberger.pdf,
https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20150001418.pdf,
https://ntrs.nasa.gov/search.jsp?R=20150001418,
https://repository.exst.jaxa.jp/dspace/handle/a-is/61157,
https://ieeexplore.ieee.org/document/6979551,
https://academic.microsoft.com/#/detail/2154668361
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Published on 01/01/2014

Volume 2014, 2014
DOI: 10.1109/dasc.2014.6979407
Licence: Other

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