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Transportation Planning and Technology Volume 44, 2021 - Issue 4

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Robust flight-to-gate assignment with landside capacity constraints

J. L’OrtyeFaculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands

https://orcid.org/0000-0002-1106-2552

M. MiticiFaculty of Aerospace Engineering, Delft University of Technology, Delft, The NetherlandsCorrespondence[email protected]

H.G. VisserFaculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands

Pages 356-377 | Received 16 Apr 2020, Accepted 08 Jan 2021, Published online: 27 Apr 2021

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https://doi.org/10.1080/03081060.2021.1919347
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Thibault Falque, Bertrand Mazure & Karim Tabia. (2024) Machine learning for predicting off-block delays: A case study at Paris—Charles de Gaulle International Airport. Data & Knowledge Engineering, pages 102303.
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Yuangang Li, Xinrui Gao, Hongcheng Ni, Yingjie Song & Wu Deng. (2024) An adaptive differential evolution algorithm with multi-strategy for solving complex optimization problem. Journal of Intelligent & Fuzzy Systems, pages 1-13.
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Mei Xiao, Yu Liu, Steven Chien & Ching-Jung Ting. (2023) Cost-Effective Flight Sequencing and Gate Assignment Considering Transfer Time under Pandemic Conditions. Journal of Advanced Transportation 2023, pages 1-18.
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Alper DALKIRAN. (2023) Airport Common-Use Check-in Operations: A Novel and Efficient Model. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi 13:2, pages 1026-1042.
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Micha Zoutendijk & Mihaela Mitici. (2021) Probabilistic Flight Delay Predictions Using Machine Learning and Applications to the Flight-to-Gate Assignment Problem. Aerospace 8:6, pages 152.
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