Genetic Algorithm with Dynamic Receding Horizon for Airport Capacity Management

Jun Qiang Liu; Xiao Ling Guan

doi:10.4028/www.scientific.net/AMM.48-49.561

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 48-49Genetic Algorithm with Dynamic Receding Horizon...

Genetic Algorithm with Dynamic Receding Horizon for Airport Capacity Management

Abstract:

The major goal of air traffic management is to strategically control the flow of airport traffic. Airport capacity management (ACM) in a dynamic environment is crucial for the optimal operation in airport environment. This paper uses the concept of dynamic receding horizon control (DRHC) to conduct real-time planning for airport capacity management. A gene algorithm is then designed from DRHC point of view. It is shown that DRHC provides a generic and flexible framework for developing real-time allocation algorithms for airport capacity in a dynamic and uncertain environment. Simulation results show that the algorithm is effective and efficient to solve the problem.

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Periodical:

Applied Mechanics and Materials (Volumes 48-49)

Pages:

561-564

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.48-49.561

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Online since:

February 2011

Authors:

Jun Qiang Liu, Xiao Ling Guan

Keywords:

Airport Capacity Management, Dynamic Receding Horizon Control

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References

[1] G. Hutting, W. Busch, and N. Gronak, in: Growing demand and capacity of airports, Transportation Res. -A[J], vol. 28-A, no. 6, pp.501-509, (1994).

DOI: 10.1016/0965-8564(94)90048-5

Google Scholar

[2] E.P. Gillo, in: Airport capacity: Representation, estimation, optimation, IEEE Transaction on Control System Technology [J], vol. 1, No. 3, pp.144-154, May (1993).

Google Scholar

[3] E.P. Gillo, in: Optimizing airport capacity utilization in air traffic flow management subject to constraints at arrival and departure fixes, IEEE Transaction on Control System Technology[J], Vol. 5, no. 5, pp.409-503, (1997).

DOI: 10.1109/87.623035

Google Scholar

[4] Xiaobing Hu and Wenhua Chen, in: Receding horizon control for aircraft arrival sequencing and scheduling, IEEE Transaction on Intelligent Transportation System [J], vol. 6, no. 2, pp.189-197, (2005).

DOI: 10.1109/tits.2005.848365

Google Scholar

[5] Xiaobing Hu and Wenhua Chen, in: Genetic algorithm based on receding horizon control for arrival sequencing and scheduling, Eng. Appl. Artif. Intell. [J], vol. 18, no. 5, pp.633-642, (2005).

DOI: 10.1016/j.engappai.2004.11.012

Google Scholar

[6] Junqian Liu, Xiaoling Guan, in: Dynamic Receding Horizon Control for Airport Capacity, 2010 International Conference on Mechanic Automation and Control Engineering , pp: 124-128.

DOI: 10.1109/mace.2010.5535400

Google Scholar