SBIR-STTR Award

Weather-Aware UAM System Capacity Manager
Award last edited on: 9/5/22

Sponsored Program
SBIR
Awarding Agency
NASA : LaRC
Total Award Amount
$124,982
Award Phase
1
Solicitation Topic Code
A3.04
Principal Investigator
Alexander (Sasha) Klein

Company Information

AvMet Applications Inc (AKA: AvMet Applications Incorporated)

1800 Alexander Bell Drive Suite 130
Reston, VA 20191
   (703) 453-9192
   N/A
   www.avmet.com
Location: Single
Congr. District: 11
County: Fairfax

Phase I

Contract Number: 80NSSC21C0143
Start Date: 5/13/21    Completed: 11/19/21
Phase I year
2021
Phase I Amount
$124,982
To facilitate efficient, weather-resilient UAM operations, airspace capacity management rules and airspace rationing algorithms will need to be developed and tested under a variety of inclement weather impacts, urban airspace layouts, and traffic demand scenarios. We are therefore proposing to design and build an efficient, modular, weather-aware UAM System Capacity Manager (USCM): a superfast-time, adaptable UAM system simulator with a path to a real-time Decision Support Tool (DST) capability. USCM will store UAM route network and vertiport data (“templates”) including throughput under various weather conditions, buildings, and UAM vehicle information by vehicle class. It will also use as input the UAM operators’ business rules as well as airspace rationing and vertiport landing slot allocation rulesets and, lastly, traffic demand as it evolves during the day. Weather forecast will be ingested and translated into operational impacts on UAM airspace objects (traffic corridors, vertiport approach zones); derived metrics such as ride quality may also be generated. All this information will be loaded into the superfast-time UAM simulation model, the Evaluator. A single UAM system simulation run will then be triggered or, if warranted, multiple runs will be launched in parallel in the cloud, accounting for weather forecast uncertainty range and exercising the respective range of operational outcomes such as UAM network delays and closures. Rule-driven UAM system response options will also be evaluated, for instance ground delay programs or pre-planned traffic reroutes. Results will be available near-instantly. As the standalone off-line simulation model is validated and evolves into a DST, it would contribute to maintaining efficient UAM, help coordinate operational responses between UAM vehicle operators, streamline weather-constrained urban airspace management and facilitate interaction with vertiport demand-vs-capacity management tools – in real time. Potential NASA Applications (Limit 1500 characters, approximately 150 words): The proposed innovation will support NASA’s Advanced Air Mobility development goal of facilitating a dynamic, weather-resilient urban air transportation system. The USCM simulation platform, with its modular design and open architecture, will be able to fit into NASA’s other UAM simulation testbeds and interoperate with e.g. NASA’s weather-avoidance models and UTM simulators. In a future DST capacity, the proposed USCM or its modules could be utilized in NASA’s DST-related research tools and real-time human-in-the-loop simulation experiments. Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words): As a DST, USCM will help coordinate operational responses between UAM vehicle operators in real time. As an offline simulator, USCM will help develop & refine UAM airspace design, operational rules, and congestion management techniques that provide maximum efficiency under a variety of weather conditions for a variety of UAM locations. Other UAM vendors will benefit from our simulation servic

Phase II

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Start Date: 00/00/00    Completed: 00/00/00
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