TY  - JOUR
PY  - 2022//
TI  - Exploiting spatio-temporal partial separability of large-scale airspaces
JO  - Proceedings of International Workshop on ATM/CNS
A1  - Lavandier, Julien
A1  - Mongeau, Marcel
A1  - Chaimatanan, Supatcha
A1  - Delahaye, Daniel
SP  - 176
EP  - 183
VL  - 1
IS  - 
N2  - This paper addresses large-scale flight planning via a divide-and-conquer technique that exploits the partial separability feature of the problem. 4D-interaction between flights is used to cluster the flights, and these clusters are then exploited to improve the optimization process. Preliminary computational experiments on the French airspace demonstrate the natural separability of air traffic and yield promising computational improvement for flight planning thanks to the clustering.<p />  <p>Language: en</p>
LA  - en
SN  - 2758-1586
UR  - http://dx.doi.org/10.57358/iwac.1.0_176
ID  - ref1
ER  -