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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2014 Vol.6(4): 357-361 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.889

Using Ant Algorithm to Arrange Taxiway Sequencing in Airport

Kamila B. Nogueira, Paulo H. C. Aguiar, and Li Weigang
Abstract—Over the last decade, air traffic flow at airports experienced an increase never seen before. Whereas several improvements have been achieved in enlarging the en-route traffic capacity, little has been done in order to decrease congestion on the airport surface. Aircraft taxiing is an expensive process, responsible for causing delays for both passengers and airlines and pollution problems. This paper presents an optimization solution for aircraft taxi-scheduling problem using Ant Colony Optimization, a method for search and optimization inspired by the behavior of real ants in nature. The simulations presented were based on real data from Brasilia International Airport. However, the developed model can be used in any airport for optimal taxiing routes searching. The paper has shown the optimization of taxiing to be efficient in achieving minimization of aircraft taxi time and complies with security constraints at airports.

Index Terms—Ant algorithm, air traffic flow management, optimization, simulation, taxiway sequencing.

The authors are with the TransLab, University of Brasilia, UnB, Brasilia, DF, Brazil (e-mail: weigang@unb.br).


Cite:Using Ant Algorithm to Arrange Taxiway Sequencing in Airport, "Kamila B. Nogueira, Paulo H. C. Aguiar, and Li Weigang," International Journal of Computer Theory and Engineering vol. 6, no. 4, pp. 357-361, 2014.

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