In this paper, we investigate the strategic stochastic air traffic flow management problem which seeks to balance airspace capacity and demand under weather disruptions. The goal is to reduce the need for myopic tactical decisions that do not account for probabilistic knowledge about the NAS near-future states. We present and discuss a scenario-based modeling approach based on a time-space stochastic process to depict weather disruption occurrences in the NAS. A solution framework is also proposed along with a distributed implementation aimed at overcoming scalability problems. Issues related to this implementation are also discussed.
International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering
Required Publisher’s Statement
World Academy of Science, Engineering and Technology applies the Creative Commons Attribution (CC BY) license to works we publish. This license was developed to facilitate open access – namely, free immediate access to, and unrestricted reuse of, original works of all types. Under this license, authors agree to make articles legally available for reuse, without permission or fees, for virtually any purpose. Anyone may copy, distribute, or reuse these articles, as long as the author and original source are properly cited.
Scholarly Commons Citation
Ichoua, S. (2013). A Scenario-Based Approach for the Air Traffic Flow Management Problem with Stochastic Capacities. International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering, 7(8). Retrieved from https://commons.erau.edu/ww-leadership/1