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Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure RerouteCollaborative Digital Departure Reroute (CDDR) enables the reroute of flights using a flight operator proposed set of alternative route options, referred to as Trajectory Option Set (TOS), in order to reduce delay on the airport's surface and in the Metroplex environment. The reroute functionality is enabled through NASA's Digital Information Platform (DIP). TOS candidate flights are defined as flights with an alternative route with delay savings greater than the flight operator defined relative trajectory cost. This paper analyzes the TOS candidate flights at Dallas/Fort Worth International Airport (KDFW) in the North Texas Metroplex to gain insight into which candidate flights are higher quality through a scoring method. This insight will inform refinements to help CDDR focus on high quality reroute opportunities. Binary classification models for predicting the flight operator's submission of candidate flights are also explored in this paper.
Document ID
20230017453
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Sarah Youlton
(Universities Space Research Association Columbia, United States)
Alexandre Amblard
(Universities Space Research Association Columbia, United States)
William J Coupe
(Ames Research Center Mountain View, United States)
Date Acquired
November 30, 2023
Subject Category
Air Transportation and Safety
Meeting Information
Meeting: AIAA SciTech Forum and Exposition
Location: Orlando, FL
Country: US
Start Date: January 8, 2024
End Date: January 12, 2024
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
PROJECT: 629660
CONTRACT_GRANT: NNA16BD14C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
Machine Learning
TOS
reroute
CDDR
candidate flights
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