Research on Algorithm of Conflict Detection and Resolution in Free Flight Based on Genetic Algorithms

Author

Shu, Hongping ; Liang, CAO ; Xu, Zhenming ; Kui, Liu

Author_Institution

Dept. of Comput., Chengdu Univ. of Inf. Technol., Chengdu

Volume

1

fYear

2009

fDate

7-8 March 2009

Firstpage

1134

Lastpage

1136

Abstract

The research background of free flight is discussed, the substance of the conflict detection and resolution in free flight based on genetic algorithms is studied, and a mathematical model is constructed in the paper. The emulation results of applications show that the genetic algorithms is suitable and positive to detect and resolute the conflict in free flight. The flight courses of aircrafts, which are as close as possible to the theoretical direct flight course of the least-fuel-consumption, can be generated by genetic algorithms.

Keywords

aerospace engineering; genetic algorithms; Federal Aviation Administration; air transportation flow; aircrafts flight courses; conflict detection algorithm; conflict resolution algorithm; free flight; genetic algorithms; least-fuel-consumption; mathematical model; Air transportation; Aircraft; Airplanes; Computer science; Computer science education; Educational technology; Electronic mail; Genetic algorithms; Information technology; Uncertainty; Conflict; Detection; Free Flight; Genetic Algorithms; Resolution.;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-3581-4

Type

conf

DOI

10.1109/ETCS.2009.259

Filename

4958963