A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties

Xinwei Wang, Alexander E.I. Brownlee, Michal Weiszer, John R. Woodward, Mahdi Mahfouf and Jun Chen 2021. A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties. Transportation Research Part C: Emerging Technologies. 132 103382. https://doi.org/10.1016/j.trc.2021.103382

TitleA chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties
TypeJournal article
AuthorsXinwei Wang, Alexander E.I. Brownlee, Michal Weiszer, John R. Woodward, Mahdi Mahfouf and Jun Chen
Abstract

Airport ground movement remains a major bottleneck for air traffic management. Existing approaches have developed several routing allocation methods to address this problem, in which the taxi time traversing each segment of the taxiways is fixed. However, taxi time is typically difficult to estimate in advance, since its uncertainties are inherent in the airport ground movement optimisation due to various unmodelled and unpredictable factors. To address the optimisation of taxi time under uncertainty, we introduce a chance-constrained programming model with sample approximation, in which a set of scenarios is generated in accordance with taxi time distributions. A modified sequential quickest path searching algorithm with local heuristic is then designed to minimise the entire taxi time. Working with real-world data at an international airport, we compare our proposed method with the state-of-the-art algorithms. Extensive simulations indicate that our proposed method efficiently allocates routes with smaller taxiing time, as well as fewer aircraft stops during the taxiing process.

Article number103382
JournalTransportation Research Part C: Emerging Technologies
Journal citation132
ISSN0968-090X
1879-2359
Year2021
PublisherElsevier
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1016/j.trc.2021.103382
Web address (URL)https://doi.org/10.1016/j.trc.2021.103382
Publication dates
PublishedNov 2021

Related outputs

Open-Source Tools for Air Traffic Management Modelling and Research Workshop
Delgado, L., Gurtner, G., Bolic, T., Weiszer, M. and Cook, A.J. 2024. Open-Source Tools for Air Traffic Management Modelling and Research Workshop.

Multimodal air-rail simulation model for evaluation of tactical disruptions
Weiszer, M., Delgado, L. and Gurtner, G. 2024. Multimodal air-rail simulation model for evaluation of tactical disruptions. 27th World Conference of the Air Transport Research Society (ATRS). Lisbon 01 - 05 Jul 2024 ATRS.

Extracting Multi-objective Multigraph Features for the Shortest Path Cost Prediction: Statistics-based or Learning-based?
Songwei Liu, Xinwei Wang, Michal Weiszer and Jun Chen 2024. Extracting Multi-objective Multigraph Features for the Shortest Path Cost Prediction: Statistics-based or Learning-based? Green Energy and Intelligent Transportation. 3 (1) 100129. https://doi.org/10.1016/j.geits.2023.100129

Mercury - An open-source platform for the evaluation of air transport mobility - presentation
Delgado, L., Gurtner, G., Weiszer, M., Bolic, T. and Cook, A.J. 2023. Mercury - An open-source platform for the evaluation of air transport mobility - presentation. 13th SESAR Innovation Days. Seville, Spain 27 - 30 Nov 2023 SESAR.

Mercury - An open pax & flight simulator
Delgado, L., Gurtner, G., Weiszer, M. and Bolic, T. 2023. Mercury - An open pax & flight simulator. 13th SESAR Innovation Days. Seville, Spain 27 - 30 Nov 2023 SESAR.

Mercury: an open source platform for the evaluation of air transport mobility
Delgado, L., Gurtner, G., Weiszer, M., Bolic, T. and Cook, A.J. 2023. Mercury: an open source platform for the evaluation of air transport mobility. 13th SESAR Innovation Days. Seville, Spain 27 - 30 Nov 2023 SESAR. https://doi.org/10.61009/SID.2023.1.36

Routing and Scheduling in Multigraphs with Time Constraints -A Memetic Approach for Airport Ground Movement
Lilla Beke, Lourdes Uribe, Adriana Lara, Carlos A. Coello Coello, Michal Weiszer, Edmund K. Burke and Jun Chen 2023. Routing and Scheduling in Multigraphs with Time Constraints -A Memetic Approach for Airport Ground Movement. IEEE Transactions on Evolutionary Computation. 28 (2), pp. 474 - 488. https://doi.org/10.1109/tevc.2023.3262743

Multi-objective routing and scheduling for airport ground movement
Michal Weiszer, Edmund K. Burke and Jun Chen 2020. Multi-objective routing and scheduling for airport ground movement. Transportation Research Part C: Emerging Technologies. 119 102734. https://doi.org/10.1016/j.trc.2020.102734

An online speed profile generation approach for efficient airport ground movement
Tianci Zhang, Meng Ding, Hongfu Zuo, Jun Chen, Michal Weiszer, Xiaoyan Qian and Edmund K. Burke 2018. An online speed profile generation approach for efficient airport ground movement. Transportation Research Part C: Emerging Technologies. 93, pp. 256-272. https://doi.org/10.1016/j.trc.2018.05.030

Preference-based evolutionary algorithm for airport surface operations
Michal Weiszer, Jun Chen, Paul Stewart and Xuejun Zhang 2018. Preference-based evolutionary algorithm for airport surface operations. Transportation Research Part C: Emerging Technologies. 91, pp. 296-316. https://doi.org/10.1016/j.trc.2018.04.008

Permalink - https://westminsterresearch.westminster.ac.uk/item/w415w/a-chance-constrained-programming-model-for-airport-ground-movement-optimisation-with-taxi-time-uncertainties


Share this

Usage statistics

53 total views
32 total downloads
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.