NASA SBIR 2008 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 08-1 A3.01-8875
SUBTOPIC TITLE: NextGen Airspace
PROPOSAL TITLE: ACES-based Testbed and Bayesian Game-theoretic Framework for Dynamic Airspace Configuration

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400
Rockville, MD 20855 - 2737
(301) 294-5221

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Goutam Satapathy
goutam@i-a-i.com
15400 Calhoun Drive, Suite 400
Rockville, MD 20855 - 2737
(301) 294-5249

Expected Technology Readiness Level (TRL) upon completion of contract: 3

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
The key innovation in this effort is the development of algorithms and a framework for automated Dynamic Airspace Configuration (DAC) using a cooperative Bayesian game framework. Given an initial sector plan, we propose an approach for dynamic re-sectorization in which boundaries can be redefined in response to changing demand, weather or other user preferences. Advantages of this approach are that it models the human coordination process, provides a rich domain independent framework for modeling collaboration and a theoretical framework to analyze issues related to convergence, decision-making complexity and stability. The communicative aspects of the game-framework also make it well suited for an agent-based implementation. In this agent-based implementation, each agent represents a player (Sector ATC/TMC) in the air traffic domain. Sector ATC's collaborate with neighboring Sector ATC's within the current sector, and across center boundaries to "collapse", "split" or borrow airspace to optimize traffic flow. The players engage in an "automated collaborative negotiation search" with each other to determine sector geometries that will optimize the overall airspace efficiency. We propose to implement DAC algorithms in Cybele's Decision Support System Infrastructure and demonstrate feasibility using NASA's ACES software.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Our initial target for the product developed in this effort is the NextGen airspace design, modeling and simulation community within NASA and FAA. The proposed approach and testbed will provide a unique capability to model and simulate DAC concepts.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
In addition to NASA applications the proposed agent-based game theoretic has several applications in DOD strategic and tactical planning warfare scenarios where joint forces are teaming against red forces. The proposed framework has direct application to DOD and FAA SUA management in terms dynamically changing SUA structure to optimize SUA utilization, en-route capacity, controller workload and overall all delay.

NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.

TECHNOLOGY TAXONOMY MAPPING
Guidance, Navigation, and Control
Operations Concepts and Requirements
Simulation Modeling Environment


Form Generated on 11-24-08 11:56