Aircraft Taxiing Scheduling Optimization Based on Genetic Algorithm

Author

Liu, Changyou ; Guo, Kaifeng

Author_Institution

Civil Aviation Univ. of China, Tianjin, China

fYear

2010

fDate

25-26 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

The increasing development of civil aviation transportation has caused serious congestion, which often results in the low efficiency and the potential risks of airport surface traffic system. In this paper, a new genetic encoding method different from previous ones is presented to solve the aircraft safe taxiing problems based on an optimization model with three types of conflict restrictions. The simulations are made by using the realistic data of the Chengdu Shuangliu airport and an illustrative example of re-routing with the delayed flights is given to show the validity of our approach enabling the conflict-free taxiing routes.

Keywords

air traffic; aircraft; airports; avionics; genetic algorithms; scheduling; transportation; Chengdu Shuangliu airport; aircraft taxiing scheduling optimization; airport surface traffic system; civil aviation transportation; conflict restriction; conflict-free taxiing routes; genetic algorithm; genetic encoding method; Air traffic control; Aircraft; Airports; Atmospheric modeling; Biological cells; Optimization; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on

Conference_Location

Wuhan

ISSN

2156-7379

Print_ISBN

978-1-4244-7939-9

Electronic_ISBN

2156-7379

Type

conf

DOI

10.1109/ICIECS.2010.5677849

Filename

5677849