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

TitleAn online speed profile generation approach for efficient airport ground movement
TypeJournal article
AuthorsTianci Zhang, Meng Ding, Hongfu Zuo, Jun Chen, Michal Weiszer, Xiaoyan Qian and Edmund K. Burke
Abstract

The precise guidance and control of taxiing aircraft based on four-dimensional trajectories (4DTs) has been recognised as a promising means to ensure safe and efficient airport ground movement in the context of ever growing air traffic demand. In this paper, a systematic approach for online speed profile generation is proposed. The aim is to generate fuel-efficient speed profiles respecting the timing constraints imposed by routing and scheduling, which ensures conflict-free movement of aircraft in the planning stage. The problem is first formulated as a nonlinear optimisation model, which uses a more flexible edge-based speed profile definition. A decomposed solution approach (following the framework of matheuristic) is then proposed to generate feasible speed profiles in real time. The decomposed solution approach reduces the nonlinear optimisation model into three tractable constituent problems. The control point arrival time allocation problem is solved using linear programming. The control point speed allocation problem is solved using particle swarm optimisation. And the complete speed profile between control points is determined using enumeration. Finally, improved speed profiles are generated through further optimisation upon the feasible speed profiles. The effectiveness and advantages of the proposed approach are validated using datasets of real-world airports.

JournalTransportation Research Part C: Emerging Technologies
Journal citation93, pp. 256-272
ISSN0968-090X
1879-2359
Year2018
PublisherElsevier
Digital Object Identifier (DOI)https://doi.org/10.1016/j.trc.2018.05.030
Web address (URL)https://doi.org/10.1016/j.trc.2018.05.030
Publication dates
PublishedAug 2018

Related outputs

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

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

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

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/w415q/an-online-speed-profile-generation-approach-for-efficient-airport-ground-movement


Share this

Usage statistics

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