DocumentCode :
589418
Title :
Flight Conflict Resolution for Civil Aviation Based on Ant Colony Optimization
Author :
Guanglei Meng ; Fei Qi
Author_Institution :
Fac. of Aerosp. Eng., Shenyang Univ. of Aeronaut., Shenyang, China
Volume :
1
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
239
Lastpage :
241
Abstract :
More and more congestions are emerging because of the increasing of air traffic flow in china. in order to facilitate civil-aviation traffic, a flight conflict resolution method based on ACO (Ant Colony Optimization) is surveyed in this paper. the optimization objective function which not only includes trajectory length factor but also passengers comfort factor is constructed. an ACO model for flight conflict resolution is established. the experimental results show that the optimized trajectory achieved by ACO is better than those obtained by GA and PSO.
Keywords :
air traffic control; optimisation; trajectory control; ACO; GA; PSO; air traffic flow; ant colony optimization; civil-aviation traffic; flight conflict resolution; optimization objective function; passengers comfort factor; trajectory length factor; Aircraft; Ant colony optimization; Atmospheric modeling; Educational institutions; Genetic algorithms; Optimization; Trajectory; air traffic management; ant colony optimization; conflict resolution; genetic algorithm; particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.67
Filename :
6406962
Link To Document :
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