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恶劣天气下进场航班运行韧性评估与提升方法

冯小荣 张帅 王兴隆

北京交通大学学报2026,Vol.50Issue(1):129-139,11.
北京交通大学学报2026,Vol.50Issue(1):129-139,11.DOI:10.11860/j.issn.1673-0291.20250110

恶劣天气下进场航班运行韧性评估与提升方法

Operational resilience assessment and enhancement methods for approach flights under severe weather conditions

冯小荣 1张帅 2王兴隆1

作者信息

  • 1. 中国民航大学 空中交通管理学院,天津 300300||中国民航大学 民航飞联网重点实验室,天津 300300
  • 2. 中国民航大学 空中交通管理学院,天津 300300
  • 折叠

摘要

Abstract

To address the problem of approach flight delays and reduced operational efficiency caused by severe weather,a quantitative assessment framework for operational resilience in arrival operations is developed.A Greedy Algorithm(GA)embedded within a Receding Horizon Control(RHC)frame-work is proposed to optimize the sequencing of weather-affected approach flights,enabling rapid im-provement of key performance indicators during the resilience recovery phase and enhancing overall op-erational resilience.First,based on the dynamic evolution pattern of arrival flight performance,com-prising four stages:stable,disrupted,recovery,and new stable,delay duration,on-time perfor-mance,and landing throughput under severe weather conditions are selected as fundamental indica-tors.Incorporating actual operational characteristics,a comprehensive resilience metric is constructed that integrates system redundancy and average recovery performance compensation.Second,an air-borne holding cost function is formulated based on aircraft type and delay duration,balancing eco-nomic efficiency and fairness principles.Third,the RHC+GA approach decomposes the dynamic opti-mization problem through a rolling time-domain mechanism.Aiming to minimize flight airborne hold-ing costs,the greedy algorithm yields locally optimal solutions and thereby generates an improved flight sequence under adverse weather conditions.Finally,using a thunderstorm scenario at Tianjin Binhai International Airport for verification.Results show that under the actual scheduling sequence,the operational resilience of arriving flights is 1.529.After reordering with the RHC+GA method,re-silience increases to 2.791,an 82.5%improvement,while the average delay per aircraft is reduced by 6 minutes,significantly accelerating operational performance recovery.

关键词

航空运输/恶劣天气/运行韧性/韧性评估/韧性恢复

Key words

air transportation/severe weather/operational resilience/resilience assessment/resil-ience recovery

分类

航空航天

引用本文复制引用

冯小荣,张帅,王兴隆..恶劣天气下进场航班运行韧性评估与提升方法[J].北京交通大学学报,2026,50(1):129-139,11.

基金项目

国家重点研发计划(2024YFB4303801) (2024YFB4303801)

国家自然科学基金(62173332) (62173332)

中央高校基本科研业务费专项基金(3122023050,3122020051) National Key R&D Plan(2024YFB4303801) (3122023050,3122020051)

National Natural Science Foundation of China(62173332) (62173332)

Fundamental Research Funds for the Central Universities(3122023050,3122020051) (3122023050,3122020051)

北京交通大学学报

1673-0291

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