Impact of Arrivals on Departure Taxi Operations at Airports
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Balakrishnan_Impact of arrivals.pdf
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Author(s) • •
Clewlow, Regina Ruby Lee
Simaiakis, Ioannis
Balakrishnan, Hamsa
Date Issued
August 2010
Journal
AIAA Guidance, Navigation, and Control Conference, 2010
Publisher
American Institute of Aeronautics and Astronautics
Citation
Clewlow, Regina R., Ioannis Simaiakis, and Hamsa Balakrishnan. "Impact of Arrivals on Departure Taxi Operations at Airports." in AIAA Guidance, Navigation, and Control Conference, 2-5 August 2010, Toronto, Ontario Canada.
Version
Author's final manuscript
Abstract
Aircraft taxi operations are a major source of fuel burn and emissions on the ground. Given rising fuel prices and growing concerns about the contributions of aviation to air pollution and greenhouse gas emissions, recent research aims to develop strategies to reduce fuel burn at airports. In order to develop such strategies, an understanding of taxi operations and the factors that affect taxi-out times is required. This paper describes an analysis of taxi-out times at two major U.S. airports in order to identify the primary causal factors affecting the duration of taxi-out operations. Through an analysis of departures out of John F. Kennedy International Airport and Boston Logan International Airport, several variables affecting taxi-out times were identified, including primarily the number of arrivals and number of departures during the taxi-out operation of an aircraft. Previous literature suggests that the number of arrivals on the surface has limited influence on taxi-out times; however, this analysis demonstrates that the number of arrivals is in fact significantly correlated with taxi-out times. Furthermore, we find that arrivals have a greater impact on taxi-out times under runway configurations where there is increased interaction between arrivals and departures.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Engineering Systems Division
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.2514/6.2010-7698