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Coordinated aviation network resource allocation under uncertainty

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  • Churchill, Andrew M.
  • Lovell, David J.

Abstract

Congestion in the air traffic system, both recurrent and non-recurrent, is typically handled by rationing access rights to individual resources such as airports or important parts of the airspace. Under the planning paradigm employed in the US, this rationing process occurs independently at each resource. The stochastic integer programming model proposed in this paper brings coordination to this process while considering capacity uncertainty. Results of a case study suggest that the model is tractable, and generates capacity allocations that improve efficiency and enable greater responsiveness to changing capacity conditions.

Suggested Citation

  • Churchill, Andrew M. & Lovell, David J., 2012. "Coordinated aviation network resource allocation under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 19-33.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:1:p:19-33
    DOI: 10.1016/j.tre.2011.05.006
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    References listed on IDEAS

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    Cited by:

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    2. Wen, Xiangxi & Tu, Congliang & Wu, Minggong & Jiang, Xurui, 2018. "Fast ranking nodes importance in complex networks based on LS-SVM method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 11-23.
    3. Li, Jiawei & Wen, Xiangxi & Wu, Minggong & Liu, Fei & Li, Shuangfeng, 2020. "Identification of key nodes and vital edges in aviation network based on minimum connected dominating set," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    4. Bhattarai, Santosh & Golias, Mihalis M. & Mishra, Sabyasachee & Talebian, Ahmadreza, 2020. "Multidimensional resource allocation for freight transportation project planning and decision making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 95-110.

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