D. Michalek, H. Balakrishnan
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.
Diff selection: Mark the radio boxes of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.
Published on 01/01/2011
Volume 2011, 2011DOI: 10.1109/cdc.2010.5718007Licence: CC BY-NC-SA license
Views 0Recommendations 0
Are you one of the authors of this document?