Flight Flow Balanced Allocation in Terminal Airspace

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Abstract:

A nonlinear integer programming model (NIPM) with constraints is proposed to solve the allocation of approach flight flow where ends with terminal airspace, an example of an airport terminal airspace is given, where the flow is accurately forecasted.Analysising flight delays, theres a conclusion: the results solved by NIPM is far better than the average allocation method, for the second-level airspace, NIPM can reduce two flight delays, and the allocation in each flight route tends to be equilibrium, NIPM can also provide air traffic controllers with accurate and reasonable allocation schedule.

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602-606

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Bertsimas, D., and Stock, S., The Air Traffic Flow Management Problem with Enroute Capacities, Operations Research, Vol. 46, No. 3, May-June 1998, pp.406-422.

DOI: 10.1287/opre.46.3.406

Google Scholar

[2] Lindsay, K., Boyd, E., Burlingame, R.: Traffic flow management modeling with the time assignment model,. Air Traffic Control Quarterly 1, 255–276 (1993).

DOI: 10.2514/atcq.1.3.255

Google Scholar

[3] Dong Xiangning, Zhao Zheng, Zhang Honghai. Air traffic management [M]. Beijing: Science Press, (2011).

Google Scholar

[4] Bertsimas, D. &G. Lulli&A. Odoni . The Air Traffic Flow Management Problem: An Integer Optimization Approach,. Integer Programming and Combinatorial Optimization Volume 5035, 2008, pp.34-46.

DOI: 10.1007/978-3-540-68891-4_3

Google Scholar

[5] Bertsimas, D., Stock Patterson, S.: The Traffic Flow Management Rerouting Problem in Air Traffic Control: A Dynamic Network Flow Approach,. Transportation Science 34, 239–255 (2000).

DOI: 10.1287/trsc.34.3.239.12300

Google Scholar

[6] Helme, M., Reducing air traffic delay in a space-time network, In: IEEE International Conference on systems, Man and Cybernetics, vol. 1, pp.236-242(1992).

DOI: 10.1109/icsmc.1992.271770

Google Scholar

[7] Operations Research and Development. Operations Research [M]. 3rd edition, Beijing: Tsinghua University Press, 2005: 114-121.

Google Scholar

[8] Hu Yunquan. Operations Research Problem Set [M]. 4th edition, Beijing: Tsinghua University Press, 2010. 8: 53-64.

Google Scholar

[9] Han Zhonggeng. Practical operations research models, methods and calculation [M]. Beijing: Tsinghua University Press, (2007).

Google Scholar

[10] Xie Jinxing, Xue Yi. Optimization modeling and LINDO / LINGO software [M]. Beijing: Tsinghua University Press, 2005: 79-134.

Google Scholar