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