The proposed innovation seeks to overcome the current limitation of being able to select a few relevant scenario days by providing NASA with an automated way for identifying days of interest based on high-level characteristics specified by the user. This will directly lead to better scenario generation for development, integration, benefit assessment and operational feasibility evaluation via HITL simulations of near term ATM technology, such as the: * Airspace Technology Demonstrators(ATDs): Integrated Arrival/Departure/Surface (IADS), Metroplex Traffic Management (ATD-2) and Applied Traffic Flow Management (ATFM) (ATD-3), * Integrated Demand Management * UTM, UAS in the NAS, Urban Air Mobility This will allow Crown to easily provide advanced software components that will directly assist and enhance these ATM research projects. In addition, this software can be applied to other NASA Big Data systems for providing the same capabilities for space and autonomy research.
Potential customers for this innovation include: * Government, industry, and academia researchers exploring new operational concepts for the NAS. * FAA offices involved in development, verification, validation and approval of new concepts or procedures. * Flight operators involved in the development, verification and validation, and implementation of Airline Operation Center (AOC) based tools to support new or existing operational concepts. * Industry, including suppliers of decision support tools and software for the FAA and flight operators, involved in the development, verification and validation, and implementation of decision support tools and software to support new or existing operational concepts. * Other government agencies and industries with the need to extract specific types of data from large, diverse datasets based on complex combinations of the raw data, but using well defined queries.
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