Automated Air Traffic Control (ATC)

Award Information
Agency:
Department of Defense
Branch:
Army
Amount:
$729,202.00
Award Year:
2005
Program:
SBIR
Phase:
Phase II
Contract:
W911W6-06-C-0028
Agency Tracking Number:
A043-081-2589
Solicitation Year:
2004
Solicitation Topic Code:
A04-081
Solicitation Number:
2004.3
Small Business Information
SOAR TECHNOLOGY, INC.
3600 Green Court Suite 600, Ann Arbor, MI, 48105
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
009485124
Principal Investigator
 Glen Taylor
 Senior Research Scientist
 (734) 327-8000
 glen@soartech.com
Business Contact
 Andrew Dallas
Title: Vice President, Federal S
Phone: (734) 327-8000
Email: adallas@soartech.com
Research Institution
N/A
Abstract
Air Traffic Control (ATC) has received little attention as part of military simulation environments. Where ATC is played, it is typically only in a limited way, reducing the realism and validity of the results, and using human controllers, thereby increasing the cost of running the exercise. To address these needs, we propose the research and development of an automated air traffic control network appliance, called AutoATC, that can perform ATC tasks in simulation environments by interacting with human and synthetic pilots in natural ways, using standard military communications protocols. The AutoATC capability can be tailored to specific simulation exercises and environments, by allowing the user to switch between standard network protocols, and by providing information particular to the exercise’s scenario before running or by passing dynamic updates while the exercise is in progress. Based on Phase I research in ATC task and language analysis, we propose to use a cognitive systems approach to developing a human behavior model of the ATC tasks, which can be used in different configurations for the needs of particular exercises. By taking a human-like cognitive systems approach, the behavior of the system can be made explainable and, therefore, more trusted and used.

* information listed above is at the time of submission.

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