Applied Technology with Robust Optimization of Airport Capacity Dynamic System

Shang Wen Yang; Ming Tong

doi:10.4028/www.scientific.net/AMM.540.507

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 540Applied Technology with Robust Optimization of...

Applied Technology with Robust Optimization of Airport Capacity Dynamic System

Abstract:

To optimize airport dynamic capacity system, the method of robust optimization was applied. An applied technology in robust optimization with the aim to minimize the maximum deviation from expected delayed flights was proposed. The airport capacity curve constraint, fix capacity constraint and airport capacity scenario constraint were included. To test how well the applied technology would be in real world, a numerical test was performed based on the data of a Chinese international airport. For the applied technology in robust optimization of airport dynamic capacity system, the volume of expected delayed flights is 2.44% larger than the average value of typical model, and the objective value is 23.61% less than the average value of typical model. Test results show that, compared with typical model, the applied technology proposed achieves the robustness and could effectively reduce the deviation of flight delay in different capacity scenarios with less loss of air traffic control efficiency.

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Periodical:

Applied Mechanics and Materials (Volume 540)

Pages:

507-511

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.540.507

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Online since:

April 2014

Authors:

Shang Wen Yang*, Ming Tong

Keywords:

Air Traffic Control, Airports, Dynamical System, Robustness

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* - Corresponding Author

References

[1] G. Andretta, G. Romanin: Transportation Science Vol. 21 (1987), pp.249-253.

Google Scholar

[2] O. Richetta, A R Odoni: Transportation Science Vol. 27 (1993), pp.228-238.

Google Scholar

[3] E. P. Gilbo: IEEE Transactions on Control Systems Technology Vol. 1 (1993), pp.144-154.

Google Scholar

[4] E. P. Gilbo: IEEE Transactions on Control Systems Technology Vol. 5 (1997), pp.490-503.

Google Scholar

[5] D. O. Paolo, L. Guglielmo: IMA Journal of Management Mathematics Vol. 14 (2003), pp.235-249.

Google Scholar

[6] E. P. Gilbo, K. W. Howard: Proceeding of 3rd USA/Europe Air Traffic Management Seminar (2000), pp.18-28.

Google Scholar

[7] S. W. Yang, in: Research on key techniques of air traffic flow management in airport terminal area based on uncertain capacity conditions, Nanjing University of Aeronautics and Astronautics, Nanjing (2012).

Google Scholar

[8] S. C. H. Leung, S. O. S. Tsang, W. L. Ng, Y. Wu: European Journal of Operational Research Vol. 181 (2007), pp.224-238.

Google Scholar

[9] B. T. Aharon, A. Nemirovski: Mathematical Programming Vol. 92 (2002), pp.453-480.

Google Scholar

[10] G. Yu: European Journal of Operational Research Vol. 100 (1997), pp.482-493.

Google Scholar