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Airspace congestion smoothing by stochastic optimization

Abstract : This paper addresses the general time-route assignment problem: One considers an air transportation network and a fleet of aircraft with their associated route and slot of departure. For each flight a set of alternative routes and a set of possible slots of departure are defined. One must find optimal route and slot allocation for each aircraft in a way that significantly reduces the peak of workload in the most congested sectors and in the most congested airports, during one day of traffic.
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Submitted on : Friday, April 18, 2014 - 4:31:22 PM
Last modification on : Tuesday, October 27, 2020 - 1:14:01 PM
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Daniel Delahaye, Amedeo Odoni. Airspace congestion smoothing by stochastic optimization. EP 97, 6th International Conference on Evolutionary Programming, Apr 1997, Indianapolis, United States. pp 163-176, ⟨10.1007/BFb0014809⟩. ⟨hal-00937702⟩



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