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Enhancing the Traffic Management Advisor's Schedule by Time AdvanceA time advance algorithm associated with the scheduling functionalities of the Traffic Management Advisor (TMA) for arrival flights is presented and evaluated. The algorithm enhances TMA's meter fix schedule by advancing the flights' Scheduled Time of Arrival (STA) by an amount that minimizes their systemic operating cost. The systemic operating cost leverages the inherent trade-off of time and fuel efficiency resident in the cost index of modern flight management systems. The resulting STAs are achievable by speeding up the leading flights from their desired nominal speed profiles. A key advantage of this approach is that it reduces systemic delay to tight groupings of arriving aircraft as well as increases sustained throughput of the operation. A fast-time, Monte Carlo simulation that emulates TMA's scheduling functionalities is performed for arrival flights to the Phoenix Airport to quantify the benefit of the time advance algorithm. Results show consistent time saving benefits, ranging from 3 to 50 minutes for 112 flights with varying levels of traffic congestion.
Document ID
20190025891
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Wu, Minghong G.
(University Affiliated Research Center (Calif. Univ. Santa Cruz) Moffett Field, CA, United States)
Swenson, Harry N.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
June 12, 2019
Publication Date
January 5, 2015
Subject Category
Aircraft Communications And Navigation
Report/Patent Number
ARC-E-DAA-TN15432
Report Number: ARC-E-DAA-TN15432
Meeting Information
Meeting: AIAA Guidance, Navigation, and Control Conference
Location: Kissimmee, FL
Country: United States
Start Date: January 5, 2015
End Date: January 9, 2015
Sponsors: American Institute of Aeronautics and Astronautics (AIAA)
Funding Number(s)
CONTRACT_GRANT: NAS2-03144
WBS: 305295
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
arrival traffic management
time advance
fuel burn
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