Research on Optimal Allocation of Flight Slots Based on Wake Interval Constraints. Issue 1 (1st April 2022)

• Record Type: Journal Article
• Authors: Zou, Guoliang; Hou, Jia; Geng, Xi; Wang, Qiang; Luo, Yao; Liu, Jihong
• Is Part Of: Journal of physics. Volume 2219:Issue 1(2022)
• Publication Date: 2022-04-01
• Subjects: Flight time -- Wake interval -- Genetic algorithm -- AirTop simulation; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2219/1/012040
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The limited airspace of civil aviation cannot meet the demand for airspace due to the rapid increase in flight volume. This is one of the main reasons for flight delays. This forces us to carry out flight flow management, and the main means of flow management is the resource of flight slots. Optimize the configuration to relieve the moments of "congestion" and the moments of "digging" that are not fully utilized. According to the feature that different types of aircraft need to be equipped with different wake intervals, the article establishes a flight schedule optimization model and develops a flight schedule optimization system. Taking a double runway hub airport as an example, experiments show that the proposed method can effectively alleviate flight delay and reduce flight delay rate.