Sbir phase i: simulating demand and competition for emerging transportation modes
Ended Project Grant Awarded Last action
- Award ID
- 2233320
- Recipient
-
Passengersim LLC UEI NHUXQKUEQMR8
- Awarding agency
-
National Science Foundation
- Obligated
- $288,580
Award facts
- Assistance listing
- 47.084 NSF Technology, Innovation, and Partnerships
- Completion date
- Place of performance
- Atlanta, GA 30306, USA
Award details come from USAspending.gov.
Description
- Abstract
- The broader impact of this small business innovation research (sbir) phase i project is to advance the state-of-the-art for demand modeling for electric aircraft by developing a decision support tool that assesses the broad economic, environmental, and equity impacts that these new modes of transportation will have on society. The project is motivated by recent advancements in battery technologies, autonomy, and distributed propulsion that are transforming air transportation through the development of a new class of electric vertical takeoff and landing (evtol) aircraft. The development of electric aircraft for longer distances is also in progress and could revitalize and support new service out of regional airports. The decision support tool can be used by government agencies, aircraft manufacturers, and other stakeholders to guide policy and multi-million dollar public and private infrastructure investments in a way that achieves a balance between economic, environmental, and equity impacts. This sbir phase i project will push the frontiers in modeling demand for new transportation modes, simultaneously addressing competition with ground modes, competitive pricing, and stimulated demand. The project focuses on examining how to model competition between air and ground transportation for distances between 50 and 350 miles where air travel has not been economically feasible in the past. This project focuses on three unproven, high-impact innovations. The first is the design of a scalable, demand simulation platform for air travel that includes distances in which the new aircraft are expected to operate. The second is the development of algorithms that use location-based data to identify the movement of current passengers between airport pairs and to predict demand stimulation. The third is the use of machine learning to calibrate air transportation networks for competitive marketplaces that have hundreds of inputs. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Amendment | $20,000 | |
| Original award | $268,580 |
Quick answers
Who received award 2233320?
2233320 was awarded to Passengersim LLC by National Science Foundation on April 1, 2023.
How much is award 2233320 worth?
$288,580 has been obligated on 2233320.
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