Latest revision as of 18:38, 3 February 2021

Abstract

International audience; In this paper, we introduce an Ant Colony System algorithm which finds optimal or near-optimal sequences of airspace partitions, taking into account some constraints on the transitions between two successive airspace configurations. The transitions should be simple enough to allow air traffic controllers to maintain their situation awareness during the airspace configuration changes. For the same reason, once a sector is opened it should remain so for a minimum duration. The Ant Colony System (ACS) finds a sequence of airspace configurations minimizing a cost related to the workload and the usage of manpower resources, while satisfying the transition constraints. This approach shows good results in a limited time when compared with a previously proposed $A$ * algorithm on some instances from the french air traffic control center of Aix (East qualification zone) where the $A$ * algorithm exhibited high computation times.00

Original document

The different versions of the original document can be found in:

• https://hal-enac.archives-ouvertes.fr/hal-02547511/file/aida2020_dg_camera_ready.pdf

• http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9049206,

http://xplorestaging.ieee.org/ielx7/9036030/9049163/09049206.pdf?arnumber=9049206,

https://academic.microsoft.com/#/detail/3013030728

• http://xplorestaging.ieee.org/ielx7/9036030/9049163/09049206.pdf?arnumber=9049206,

http://dx.doi.org/10.1109/aida-at48540.2020.9049206

• https://hal-enac.archives-ouvertes.fr/hal-02547511,

https://hal-enac.archives-ouvertes.fr/hal-02547511/document,

https://hal-enac.archives-ouvertes.fr/hal-02547511/file/aida2020_dg_camera_ready.pdf