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Dynamic reconfiguration of terminal airspace during convective weather

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Author(s)
Michalek, Diana
•
Balakrishnan, Hamsa
Date Issued
December 2010
Journal
49th IEEE Conference on Decision and Control (CDC), 2010
Publisher
Institute of Electrical and Electronics Engineers
Citation
Michalek, Diana, and Hamsa Balakrishnan. “Dynamic Reconfiguration of Terminal Airspace During Convective Weather.” 49th IEEE Conference on Decision and Control (CDC). Atlanta, GA, USA, 2010. 4875-4881. © Copyright 2010 IEEE
Version
Final published version
Abstract
Dynamic airspace configuration (DAC) algorithms strive to restructure the U.S. National Airspace System (NAS) in ways that allow air traffic control to better manage aircraft flows. Although past research has largely focused on enroute airspace in clear weather conditions, the principle of better matching airspace structure to ambient conditions has potential to benefit airport terminal areas, which are often impacted by congestion due to convective weather, especially during summer months when travel demand is high. This paper studies the problem of dynamic airspace configuration in the terminal area given a stochastic model of route availability during convective weather conditions. An integer programming model is proposed for the dynamic reconfiguration of the terminal area. This model recommends small changes to airspace structure that alleviate airspace congestion, while limiting disruptions to air traffic control procedures. The model is tested against actual weather scenarios, and shows promising benefits to operations.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Operations Research Center
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/66132
DOI of Published Version
https://doi.org/10.1109/CDC.2010.5718007
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