Skip to Main content Skip to Navigation
Journal articles

Selective Simulated Annealing for Large Scale Airspace Congestion Mitigation

Abstract : This paper presents a methodology to minimize the airspace congestion of aircraft 1 trajectories based on slot allocation techniques. The traffic assignment problem is modeled as a 2 combinatorial optimization problem for which a selective simulated annealing has been developed. 3 Based on theBased the congestion encountered by each aircraft in the airspace, this metaheuristic 4 selects and changes the time of departure of the most critical flights in order to target the most 5 relevant aircraft. The main objective of this approach is to minimize the aircraft speed vector 6 disorder. The proposed algorithm was implemented and tested on simulated trajectories generated 7 with real flight plans on a day of traffic over France airspace with 8800 flights.
Complete list of metadata
Contributor : Daniel Delahaye Connect in order to contact the contributor
Submitted on : Thursday, September 30, 2021 - 1:28:08 PM
Last modification on : Tuesday, October 19, 2021 - 11:02:55 AM


Files produced by the author(s)


  • HAL Id : hal-03359666, version 1



Daniel Delahaye, Julien Lavandier, Arianit Islami, Supatcha Chaimatanan, Amir Abecassis. Selective Simulated Annealing for Large Scale Airspace Congestion Mitigation. Aerospace, MDPI, 2021. ⟨hal-03359666⟩



Record views


Files downloads