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
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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 http://commons.erau.edu/ww-leadership/1