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Enabling Airspace Integration for High-Density On-Demand Mobility OperationsAviation technologies and concepts have reached a level of maturity that may soon enable an era of on-demand mobility (ODM) fueled by quiet, efficient, and largely automated air taxis. However, successfully bringing such a system to fruition will require introducing orders of magnitude more aircraft to a given airspace volume than can be accommodated by the traditional air traffic control system, among other important technical challenges. The airspace integration problem is further compounded by requirements to set aside appropriate ground infrastructure for take-off and landing areas and ensuring these new aircraft types and their operations do not burden traditional airspace users and air traffic control. This airspace integration challenge may be significantly reduced by extending the concepts and technologies developed to manage small unmanned aircraft systems (UAS) at low altitudethe UAS traffic management (UTM) systemto higher altitudes and new aircraft types, or by equipping ODM aircraft with advanced sensors, algorithms, and interfaces. The precedent of operational freedom inherent in visual flight rules and the technologies developed for large UAS and commercial aircraft automation will contribute to the evolution of an ODM system enabled by UTM. This paper describes the set of air traffic services, normally provided by the traditional air traffic system, that an ODM system would implement to achieve the high densities needed for ODMs economic viability. Finally, the paper proposes a framework for integrating, evaluating, and deploying low-, medium-, and high-density ODM concepts that build on each other to ensure operational and economic feasibility at every step.
Document ID
20170005885
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Mueller, Eric
(NASA Ames Research Center Moffett Field, CA United States)
Kopardekar, Parimal
(NASA Ames Research Center Moffett Field, CA United States)
Goodrich, Kenneth H.
(NASA Langley Research Center Hampton, VA United States)
Date Acquired
June 29, 2017
Publication Date
June 5, 2017
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN43251
Report Number: ARC-E-DAA-TN43251
Meeting Information
Meeting: AIAA Intelligent Systems Workshop 2017
Location: Ann Arbor, MI
Country: United States
Start Date: July 26, 2017
End Date: July 27, 2017
Sponsors: American Inst. of Aeronautics and Astronautics
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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