NASA SBIR 2018-I Solicitation

Proposal Summary

 18-1- A3.01-1071
 Advanced Air Traffic Management Systems Concepts
 Consensus Algorithms and Data Exchange for Trajectory Negotiation
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Robust Analytics
1302 Cronson Blvd Suite B
Crofton , MD 21114-2064
(410) 980-3667

Principal Investigator (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Shreyas Subramanian
1302 Cronson Blvd Suite B Crofton, MD 21114 - 2064
(937) 581-1586

Business Official (Name, E-mail, Mail Address, City/State/Zip, Phone)
Peter Kostiuk
1302 Cronson Blvd, Suite B Crofton, MD 21114 - 2064
(410) 980-3667
Estimated Technology Readiness Level (TRL) :
Begin: 2
End: 4
Technical Abstract

Trajectory-based operations (TBO) offer a major change in air traffic management with the potential for substantial performance and safety benefits. Considering the scope of the changes, TBO concepts must pass stringent hurdles for demonstrating technical feasibility, operational benefits, and safety. A successful TBO concept should provide benefits in the near term by using existing airline and FAA systems, while offering the pathway to greatly enhanced TBO capabilities in the mid-to-far terms.

The analytical and data exchange framework proposed by Robust Analytics to develop and evaluate TBO alternatives builds from the understanding that different participants will possess superior information in selected areas. The FAA ground domain has the most complete understanding of total system traffic, weather, and constraints. Individual aircraft have superior, real-time information on flight performance capabilities, the airline operations center (AOC) acts as the information nerve center for the airline and possesses the most comprehensive understanding of the airline network and each flight’s role in that network, and is responsible for achieving the airline’s business objectives. One of the challenges for implementing TBO is facilitating the timely negotiations to determine trajectories that simultaneously meet airline business objectives and tight required time of arrival (RTA) for traffic management purposes. With multiple sources of uncertainty in flight operations, TBO concepts must be able to negotiate trajectory changes to satisfy multiple objectives while responding to uncertainties and constraints in the NAS.

For Phase I, Robust Analytics will describe a detailed TBO negotiation process and use case; develop an architecture for exchanging the required data among the AOC, aircraft, and traffic flow management to facilitate TBO negotiations; and conduct a proof of concept demonstration.

Potential NASA Applications

Our Negotiator prototype provides useful capabilities to include in the ATD-2 and ATD-3 demos. We propose a solution to the trajectory negotiation process common to many dynamic flight operations. The architecture provides a platform for NASA AOSP research, able to test trajectory algorithms and negotiation protocols with a AOC-aircraft communications and application testing infrastructure. Negotiator applies to new concepts such as urban air mobility that will require trajectory negotiation.

Potential Non-NASA Applications

Our concept would be a mechanism for generating near term airline cost savings; over time, it supports larger benefits from enabling more comprehensive TBO capabilities into the NAS. Our architecture would support more extensive trajectory negotiation in-flight, complementing current pre-departure trajectory negotiations such as CTOP. More generally, our design supports greater sharing of airspace constraints with operators, which has long been an objective of the airlines.

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