To read this content please select one of the options below:

Collaborative slot secondary allocation based on flight wave operation

Kejia Chen (School of Economics and Management, Fuzhou University, Fuzhou, China)
Jintao Chen (School of Economics and Management, Fuzhou University, Fuzhou, China)
Lixi Yang (School of Economics and Management, Fuzhou University, Fuzhou, China)
Xiaoqian Yang (School of Economics and Management, Fuzhou University, Fuzhou, China)

International Journal of Intelligent Computing and Cybernetics

ISSN: 1756-378X

Article publication date: 13 December 2022

8

Abstract

Purpose

Flights are often delayed owing to emergencies. This paper proposes a cooperative slot secondary assignment (CSSA) model based on a collaborative decision-making (CDM) mechanism, and the operation mode of flight waves designs an improved intelligent algorithm to solve the optimal flight plan and minimize the total delay of passenger time.

Design/methodology/approach

Taking passenger delays, transfer delays and flight cancellation delays into account comprehensively, the total delay time is minimized as the objective function. The model is verified by a linear solver and compared with the first come first service (FCFS) method to prove the effectiveness of the method. An improved adaptive partheno-genetic algorithm (IAPGA) using hierarchical serial number coding was designed, combining elite and roulette strategies to find pareto solutions.

Findings

Comparing and analyzing the experimental results of various scale examples, the optimization model in this paper is greatly optimized compared to the FCFS method in terms of total delay time, and the IAPGA algorithm is better than the algorithm before in terms of solution performance and solution set quality.

Originality/value

Based on the actual situation, this paper considers the operation mode of flight waves. In addition, the flight plan solved by the model can be guaranteed in terms of feasibility and effectiveness, which can provide airlines with reasonable decision-making opinions when reassigning slot resources.

Keywords

Acknowledgements

The presented research work was supported by the National Social Science Foundation of China (Grant no. 18BGL003).

Conflict of interest: The authors are not affiliated with any organization that has a direct or indirect financial interest in the subject matter mentioned in this article.

Citation

Chen, K., Chen, J., Yang, L. and Yang, X. (2022), "Collaborative slot secondary allocation based on flight wave operation", International Journal of Intelligent Computing and Cybernetics, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJICC-06-2022-0172

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

Related articles