SBIR/STTR Research Award

Integration of Tactical Departure Scheduling and Traffic Flow Management

Award identifier a19c235ceff183f0f5191cf1562e08995613a0ebaefd41ecde1bf20c440ebb23Awarding agency National Aeronautics and Space Administration

Award amount

$1,495,920

Program and phase

SBIR · Phase II

Award year

2015

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
MOSAIC ATM, INC.
Proposal award date
2015-05-26
Contract end date
2017-05-25
UEI
KJKXBTLUAMA5
Solicitation number
Not reported
Topic code
A20.01

Research abstract

NASA's Air Traffic Management (ATM) research has produced many important, advanced decision support tools (DSTs) over the past three decades. A key challenge in the design and use of ATM DSTs is to determine how much control should be applied to the flow of traffic and at what point in the flow the control should be applied. This question can be addressed both during the initial operational ATM planning process, as well as during dynamic operations re-planning. This challenge has significant impact on the resulting effectiveness of any ATM control program that is applied, because inefficiencies can be caused by either under or over-control of the flow. Unfortunately, comprehensive DSTs don't exist for many ATM decisions that must be made, and most DSTs that do exist do not provide any guidance regarding when the control should be applied, nor do they quantify the potential risk associated with the timing of control application. An integrated decision support capability is needed to provide ATM specialists and flight operators with information to support planning and decision-making about tactical and strategic TMIs. The significant challenge that exists in providing this decision support capability is the uncertainty of prediction of both demand and capacity. The work that has been conducted in this Phase I SBIR effort, and that is proposed for continuation in Phase II, addresses this fundamental research need in ATM automation system design in the context of the integration of Tactical Departure Scheduling (TDS) with Traffic Flow Management (TFM). During Phase I, we designed, tested and conducted initial validation on mathematical and simulation models that characterize and quantify the relationship between IADS capabilities and other TMIs. These models provide guidance and input for further NASA research efforts and activities, and they will also provide real-time operational decision support for Traffic Management Coordinators (TMCs) and other ATC specialists.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

92 SBIR/STTR records share this UEI (2005–2025). Reported award amounts total $27,087,427. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Aeronautics and Space Administration, Department of Defense, Department of Transportation, Department of Health and Human Services, National Science Foundation

Agency intelligence

National Aeronautics and Space Administration

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