Dynamic reconfiguration of terminal airspace during convective weather

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 ma...

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Bibliographic Details
Main Authors: Michalek, Diana, Balakrishnan, Hamsa
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2011
Online Access:http://hdl.handle.net/1721.1/66132
https://orcid.org/0000-0002-8624-7041
Description
Summary: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.