Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155271
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNg, Kam K. H.en_US
dc.contributor.authorLee, Carman K. M.en_US
dc.contributor.authorChan, Felix T. S.en_US
dc.contributor.authorChen, Chun-Hsienen_US
dc.contributor.authorQin, Yichenen_US
dc.date.accessioned2022-03-07T08:18:30Z-
dc.date.available2022-03-07T08:18:30Z-
dc.date.issued2020-
dc.identifier.citationNg, 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.2019.106048en_US
dc.identifier.issn1568-4946en_US
dc.identifier.urihttps://hdl.handle.net/10356/155271-
dc.description.abstractAirport 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.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relation.ispartofApplied Soft Computing Journalen_US
dc.rights© 2020 Elsevier B.V. All rights reserved.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleA two-stage robust optimisation for terminal traffic flow problemen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1016/j.asoc.2019.106048-
dc.identifier.scopus2-s2.0-85078565773-
dc.identifier.volume89en_US
dc.identifier.spage106048en_US
dc.subject.keywordsRobust Optimisationen_US
dc.subject.keywordsTerminal Traffic Flow Problemen_US
dc.description.acknowledgementThe research is supported by School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore and the Hong Kong Polytechnic University, Hong Kong. Our gratitude is also extended to the Research Committee and the Department of Industrial and Systems Engineering, the Hong Kong Polytechnic University for support of the project (RU8H).en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:EEE Journal Articles
MAE Journal Articles

Page view(s)

40
Updated on Jul 3, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.