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Benefit Assessment of the Integrated Demand Management Concept for Multiple New York Metroplex AirportsBenefits of the Integrated Demand Management (IDM) concept were assessed utilizing a newly developed automated simulation capability called ‘Traffic Management Initiative Automated Simulation (TMIAutoSim).’ The IDM concept focuses on improving traffic flow management (TFM) by coordinating the FAA’s strategic Traffic Flow Management System (TFMS) with its more tactical Time-Based Flow Management (TBFM) system. The IDM concept leverages a new TFMS capability called Collaborative Trajectory Options Program (CTOP) to strategically pre-condition traffic demand flowing into a TBFM-managed arrival environment, where TBFM is responsible for tactically managing traffic by generating precise arrival schedules. The IDM concept was developed over a multi-year effort, focusing on solving New York metroplex airport arrival problems. TMIAutoSim closely mimics NASA’s high-fidelity simulation capabilities while enabling more data to be collected at higher speed. Using this new capability, the IDM concept was evaluated using realistic traffic across various weather scenarios. Six representative weather days were selected after clustering three months of historical data. For those selected six days, Newark Liberty International Airport (EWR) and LaGuardia Airport (LGA) arrival traffic scenarios were developed. For each selected day, the historical data were analyzed to accurately simulate actual operations and the weather impact of the day. The current day operations and the IDM concept operations were simulated for the same weather scenarios and the results were compared. The selected six days were categorized into two groups: ‘clear weather’ for days without Ground Delay Programs (GDP) and ‘convective weather’ for days with GDP and significant weather around New York metroplex airports. For the clear weather scenarios, IDM operations reduced last minute, unanticipated departure delays for short-haul flights within TBFM control boundaries with minimal to no impact on throughput and total delay. For the convective weather scenarios, IDM significantly reduced delays and increased throughput to the destination airports.
Document ID
20200000230
Acquisition Source
Ames Research Center
Document Type
Conference Paper
External Source(s)
doi:10.2514/6.2020-1400
Authors
Yoo, Hyo-Sang (San Jose State Univ. Moffett Field, CA, United States)
Evans, Antony D. (Crown Consulting, Inc. Washington, DC, United States)
Kulkarni, Deepak (NASA Ames Research Center Moffett Field, CA, United States)
Lee, Paul (NASA Ames Research Center Moffett Field, CA, United States)
Li, Jinhua (Universities Space Research Association (USRA) Moffett Field, CA, United States)
Wei, Mei Yueh (NASA Ames Research Center Moffett Field, CA, United States)
Wang, Yao X. (NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
January 13, 2020
Publication Date
January 6, 2020
Publication Information
e-ISBN: 978-1-62410-595-1
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN75814
AIAA 2020-1400
Meeting Information
Meeting: AIAA SciTech 2020 Forum
Location: Orlando, FL
Country: United States
Start Date: January 6, 2020
End Date: January 10, 2020
Sponsors: American Institute of Aeronautics and Astronautics (AIAA)
Funding Number(s)
WBS: 629660.02.20.01.01
CONTRACT_GRANT: NNX17AE07A
CONTRACT_GRANT: NNA16BD14C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
Traffic Management Initiative Automated Simulation (TMIAutoSim)

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