SBIR/STTR Research Award

Microscale Weather Based Unmanned Aircraft Systems Traffic Management Optimization System

Award identifier 2b6ab9a31137d8c3b3d2325075fccc467cabb9b77c0e270a1a36609afeb6dff9Awarding agency National Aeronautics and Space Administration

Award amount

$749,815

Program and phase

SBIR · Phase II

Award year

2022

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
AERIS LLC
Proposal award date
2022-05-11
Contract end date
2024-05-10
UEI
TNMKZL4WJL79
Solicitation number
SBIR_21_P2
Topic code
A3

Research abstract

Aeris proposes to build upon the successful development and demonstration of Urban Air Mobility (UAM)/Advanced Air Mobility (AAM) route planning and scheduling system developed in our Phase I effort.nbsp;nbsp;Our solution involves the enhancement of a system that integrates two enabling technologies: 1) highly resolved and accurate microscale weather information from a ldquo;building-resolvingrdquo; atmospheric model that can provide near surface winds and turbulence at meter-scale resolutions.nbsp;nbsp;2) graph analytics data analysis methodologies designed to fuse the microscale weather data, aircraft operational parameters, UAM/AAM airspace system characteristics and operational constraints.nbsp;A large eddy simulation (LES) model will be used to translate standard environmental data into highly resolved micro-scale wind/turbulence information that can account for terrain, land-use characteristics, and buildings.nbsp;nbsp;LES microscale weather data will then be combined with aircraft performance parameters to calculate UAM/AAM aircraft specific parameters for all of the scheduled aircraft, possible routes, and flight plans.nbsp;nbsp;Graph analytics will then be utilized to estimate the best combination of routes and corresponding departure and flight schedules for both the in-flight and departing aircraft.nbsp;nbsp;In this Phase II effort Aeris will develop the supporting software infrastructure that will enable an operationally cycling UAM/AAM route selection and flight scheduling capability that can operate as a real-time system.nbsp;nbsp;We will also develop enhancements to the algorithm to improve its robustness and core capability and verify and validate its performance in relevant environments. This system will ultimately be able to provide flight scheduling and route guidance for both an Unmanned Aircraft System Traffic Management (UTM) as well as for UAM operations environments (UOE) for vertical takeoff and landing passenger and package aircraft that operate near the surface and at altitudes above UTM operations.

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.

Research funding history

8 SBIR/STTR records share this UEI (2021–2026). Reported award amounts total $2,983,652. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

National Aeronautics and Space Administration

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.