Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155271
Title: A two-stage robust optimisation for terminal traffic flow problem
Authors: Ng, Kam K. H.
Lee, Carman K. M.
Chan, Felix T. S.
Chen, Chun-Hsien
Qin, Yichen
Keywords: Engineering::Mechanical engineering
Issue Date: 2020
Source: Ng, K. K. H., Lee, C. K. M., Chan, F. T. S., Chen, C. & Qin, Y. (2020). A two-stage robust optimisation for terminal traffic flow problem. Applied Soft Computing Journal, 89, 106048-. https://dx.doi.org/10.1016/j.asoc.2019.106048
Journal: Applied Soft Computing Journal
Abstract: Airport congestion witnesses potential conflicts: insufficient terminal airspace and delay propagation within scrambled the competition in the terminal manoeuvring area. Re-scheduling of flights is needed in numerous situations, heavy traffic in air segments, holding patterns, runway schedules and airport surface operations. Robust optimisation for terminal traffic flow problem, providing a practical point of view in hedging uncertainty, can leverage the adverse effect of uncertainty and schedule intervention. To avoid delay propagation throughout the air traffic flow network and reduce the vulnerability to disruption, this research adopts a two-stage robust optimisation approach in terminal traffic flow. It further enhances the quality of Pareto-optimality Benders-dual cutting plane based on core point approximation in the second stage recourse decision. The efficiency of the cutting plane algorithm is evaluated by a set of medium sized real-life scenarios. The numerical results show that the proposed scheme outperforms the well-known Pareto-optimal cuts in Benders-dual method from the literature.
URI: https://hdl.handle.net/10356/155271
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2019.106048
Rights: © 2020 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles
MAE Journal Articles

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