Many-objective optimization scheduling method of arrival flights

Jiang Hao; Jixin Liu; Sijie Lan; Zhiwei Wang

doi:10.1117/12.2623901

6 February 2022 Many-objective optimization scheduling method of arrival flights

Jiang Hao, Jixin Liu, Sijie Lan, Zhiwei Wang

Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 120812I (2022) https://doi.org/10.1117/12.2623901
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China

Abstract

In order to meet the needs of collaborative decision making (CDM), considering the demands of air traffic control units, airlines, airports and passengers, the many-objective optimization scheduling problem of arrival flights is studied systematically. Through in-depth analysis of the operation characteristics of arrival flights, multiple optimization objectives of arrival flight scheduling are constructed according to the demands of all parties. Considering the constraints of air traffic control separation, landing time window and constrained position shifting (CPS), a many-objective optimization scheduling model of arrival flights is established; The reference vector guided evolutionary algorithm (RVEA) is used to find the Pareto optimal solution. The simulation results show that compared with first come first served (FCFS) method, the delay fairness is improved by 56.7%, the total runway occupancy time is reduced by 15% and the weighted total delay is reduced by 25.1%.

Citation Download Citation

Jiang Hao, Jixin Liu, Sijie Lan, and Zhiwei Wang "Many-objective optimization scheduling method of arrival flights", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 120812I (6 February 2022); https://doi.org/10.1117/12.2623901

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