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Data Science Challenges for Urban Air Mobility Aviation is a combination of aircraft, airspace and airports. The data science life cycle comprises of five steps - capture, maintain, process, analyze and communicate. The presentation introduces the legacy of conventional aviation research in the context of the data science life cycle to motivate the challenges with Urban Air Mobility, a field that is quite nascent. A summary of recent research will be presented to highlight the innovative ways to address the challenges. Examples provided will include the generation of synthetic data, encounter models from simulations, and leveraging novel and diverse data sets from traditional transportation and non-aviation sources, to analyze problems of operation in urban airspace. Finally, opportunities will be identified for further exploration, niche development and filling the gaps in the field of data science for UAM.
Document ID
20205002018
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Vishwanath Bulusu
(Universities Space Research Association Columbia, Maryland, United States)
Date Acquired
May 11, 2020
Subject Category
Air Transportation And Safety
Meeting Information
Meeting: 2020 INFORMS Annual Meeting
Location: Virtual
Country: US
Start Date: November 8, 2020
End Date: November 11, 2020
Sponsors: Institute for Operations Research and the Management Sciences
Funding Number(s)
CONTRACT_GRANT: NNA16BD14C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
Data Science
Urban Air Mobility

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