Pre-flight plan conflict resolution algorithm design and strategy research

Zheng Zhao; Meiwen Song; Jialing Yuan

doi:10.1117/12.2674861

2 May 2023 Pre-flight plan conflict resolution algorithm design and strategy research

Zheng Zhao, Meiwen Song, Jialing Yuan

Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 1264224 (2023) https://doi.org/10.1117/12.2674861
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China

Abstract

In order to meet the air traffic demand and capacity balance in the pre-tactical management stage. It is necessary to scientifically adjust the flight pre-flight plan according to the change of airport capacity to avoid waste of flight slot resources and reduce flight delays. Firstly, this paper proposes a multi-level full-time zone conflict resolution algorithm design for the problem of demand imbalance in pre-flight planning. Then, within the scope of the underlying design, the time conflict resolution strategy and resource use conflict resolution strategy of the 5-minute time slice within the specified time period are studied respectively. Finally, the underlying strategy of the algorithm for flight advance planning optimization is validated using real airport operational data as an example, and the strategy is compared by calculating a relative deviation index (RDI) for a specific target value. The results show that the different strategies designed in this paper show different range of results in the process of multi-objective optimization, and the optimization effect is more balanced, which provides a reference for the underlying design of a variety of strategies for the realization of pre-flight plan conflict resolution and demand balance.

Citation Download Citation

Zheng Zhao, Meiwen Song, and Jialing Yuan "Pre-flight plan conflict resolution algorithm design and strategy research", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 1264224 (2 May 2023); https://doi.org/10.1117/12.2674861

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KEYWORDS

Dielectrophoresis

Mathematical optimization

Design and modelling

Calibration

Detection and tracking algorithms

Algorithm development

Algorithm testing

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