NASA SBIR 2009 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 09-1 A3.01-8137
SUBTOPIC TITLE: NextGen Airspace
PROPOSAL TITLE: A Queuing Model-Based System for Triggering Traffic Flow Management Algorithms

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Optimal Synthesis, Inc.
95 First Street, Suite 240
Los Altos, CA 94022 - 2777
(650) 559-8585

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
P. K. Menon
menon@optisyn.com
95 First Street, Suite 240
Los Altos, CA 94022 - 2777
(650) 559-8585 Extension :101

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 2
End: 5

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Next generation air traffic management systems are expected use multiple software tools and quantitative methods for managing traffic flow in the National Airspace. NASA and other aerospace research centers are involved in developing advanced numerical algorithms for strategic traffic flow management. These algorithms can be invoked at fixed time intervals, or can be employed whenever adverse traffic flow conditions occur. In order to avoid spurious responses, the control algorithms should be used only when actual traffic flow problems are likely to arise, and not in response to normal flow variations. Queuing models describe the aggregate stochastic behavior of the national airspace, and can provide not only mean flow characteristics, but also the expected variations. This proposal advances the development of a queuing model-based methodology for triggering traffic flow management algorithms. The approach , based on the measured state of the national airspace system. The approach exploits recently-developed queuing models of the NAS, together with recent advances in estimation theory.
Phase I research will demonstrate the feasibility of developing the traffic flow management triggering system using a simulation model of the national airspace system. Phase II research will integrate this methodology with NASA's traffic flow management algorithms, and assess the overall system performance n the ACES environment. Algorithms and software developed under the SBIR project will be delivered to NASA at the end of Phase II work.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
By providing traffic flow management triggers, the proposed system will contribute towards the NASA-NGATS research program.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The strategic TFM triggering system developed under the proposed research will contribute towards the development of next-generation air traffic management technologies. The traffic flow management triggering technologies are useful in a wide variety of air traffic management applications.

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
Autonomous Reasoning/Artificial Intelligence
Software Tools for Distributed Analysis and Simulation


Form Generated on 09-18-09 10:14