Framework for Airspace Situation-awareness Training (FAST)

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$99,999.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-11-M-6201
Award Id:
n/a
Agency Tracking Number:
F103-035-2591
Solicitation Year:
2010
Solicitation Topic Code:
AF103-035
Solicitation Number:
2010.3
Small Business Information
1408 University Drive East, College Station, TX, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
MichaelGraul
Senior Research Scientist
(979) 260-5274
mgraul@kbsi.com
Business Contact:
DonielleMayer
Business Operations Manager
(979) 260-5274
dmayer@kbsi.com
Research Institute:
Stub




Abstract
ABSTRACT: Knowledge Based Systems, Inc. (KBSI) proposes the design and demonstration of a simulation-based training system to improve Remotely Piloted Aircraft (RPA)-operator airspace situation awareness (SA). A key innovation in our proposal is the use of simulation-based training to increase and maintain airspace SA with manned and RPA systems. The resulting"Framework for Airspace Situation-awareness Training (FAST)"will support the following functions (i) Creation of instructionally sound scenario-based training content for airspace management and de-confliction for systems that include manned and RPA systems; (ii) Authoring and adaptively evolving scenarios that improve the effectiveness of simulation based training for airspace SA with manned and RPA systems; and (iii) Measuring airspace SA training using airspace. The proposed Phase I project will (i) analyze training needs for enhanced airspace SA with manned aircraft and RPAs; (ii) create instructionally valid scenario content including mechanisms for inducing enhanced airspace SA learning; and (iii) design and demonstrate a proof-of-concept implementation of the FAST technology using representative test data. The Phase II project will (i) harden the FAST innovation; and (ii) transition the resulting capability into a realistic simulation-based training environment. BENEFIT: The main benefits of the proposed research include the following: (i) significant improvement in the quality of training for airspace management, situation awareness, communications, and control for both manned aircraft and RPA systems; (ii) significant decrease in the time and cost to create and maintain instructionally valid simulation-based training content; and (iii) reduced cost to build and deploy simulation-based training for both manned aircraft and RPA systems. Government applications include defense and homeland security simulation based training systems. Commercial applications include commercial simulation-based training systems for aircraft, ships, automobiles, security, and health services.

* information listed above is at the time of submission.

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