Computational Model and Measurement Tool for Evaluating the Design of Flight Deck Technologies

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$600,000.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
NNX09CB45C
Award Id:
87905
Agency Tracking Number:
074214
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Jamie Estock
Principal Investigator
(202) 842-1548
jestock@aptima.com
Business Contact:
Richard Salvage
Business Official
(781) 496-2487
rsalvage@aptima.com
Research Institution:
n/a
Abstract
The runway safety issue has been on the Most Wanted list of the National Transportation Safety Board since the list's inception in 1990. The FAA has responded by implementing two ground surveillance technologies at major U.S. airports to reduce the risk of runway incursions. However, both technologies route information through air traffic control (rather than directly to pilots), which significantly delays safe responses. Several flight deck technologies that communicate information directly to pilots are currently in development. However, there is a need for tools to rapidly test the flight deck technologies early in the design process and measure their impact on pilot performance prior to implementation. We propose to develop two tools that can be used together or independently to evaluate performance of flight deck technologies aimed at improving runway safety. We will deliver a computational cognitive model (Adaptive Control of Thought-Runway Safety; ACT-RS) that realistically emulates pilot performance, thus reducing the need for human pilots early in the design process. In addition, we will deliver a measurement tool (Performance Measurement (PM) Engine) that can measure the impact of the flight deck technology on the performance of ACT-RS and a human pilot, making it useful across the technology lifecycle.

* information listed above is at the time of submission.

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