DocumentCode :
1889582
Title :
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
Link To Document :
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