Research on aircraft surface taxiing path optimization based on A* algorithm

Qigui Zhang; Guan Lian; Haoran Wang; Wenyong Li; Yingzi Wu

doi:10.1117/12.3039765

28 August 2024 Research on aircraft surface taxiing path optimization based on A* algorithm

Qigui Zhang, Guan Lian, Haoran Wang, Wenyong Li, Yingzi Wu

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132514B (2024) https://doi.org/10.1117/12.3039765
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

To mitigate the potential for conflicts among aircraft navigating on the surface and enhance operational efficiency and safety at airports, this study explores various types of taxiing conflicts between aircraft and presents an A* algorithm model. This model considers both distance and direction, aiming to achieve conflict-free taxiway scheduling. By minimizing the overall taxiing duration of flights, this approach enhances taxiing efficiency. Simulation analyses are conducted with illustrative examples, indicating that the proposed optimization method for aircraft taxiing paths is feasible and could provide decision support for airport optimization and dispatch operations.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qigui Zhang, Guan Lian, Haoran Wang, Wenyong Li, and Yingzi Wu "Research on aircraft surface taxiing path optimization based on A* algorithm", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132514B (28 August 2024); https://doi.org/10.1117/12.3039765

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