DocumentCode
2258344
Title
Airport Taxi Scheduling Optimization Based on Genetic Algorithm
Author
Liu, Changyou ; Guo, Kaifeng
Author_Institution
Civil Aviation Univ. of China, Tianjin, China
fYear
2010
fDate
11-14 Dec. 2010
Firstpage
205
Lastpage
208
Abstract
The increasing development of civil aviation transportation has caused serious congestion, which often results in low efficiency and 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 is given to show the validity of our approach by comparison with shortest path algorithm without safety constraint condition.
Keywords
airports; avionics; genetic algorithms; road traffic; safety; scheduling; transportation; Chengdu Shuangliu airport; aircraft safe taxiing problem; airport surface traffic system; airport taxi scheduling optimization; civil aviation transportation; conflict restriction; genetic algorithm; genetic encoding method; aircraft taxiing optimization; genetic algorithm; safety constraints;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2010 International Conference on
Conference_Location
Nanning
Print_ISBN
978-1-4244-9114-8
Electronic_ISBN
978-0-7695-4297-3
Type
conf
DOI
10.1109/CIS.2010.50
Filename
5696263
Link To Document