容量受限下城市对航班四维航迹优化

谢华; 黎子弘; 杨磊; 朱永文; 刘芳子

doi:10.7527/S1000-6893.2021.25581

航空学报 >

2022 , Vol. 43 >Issue 8: 325581 - 325581

DOI: https://doi.org/10.7527/S1000-6893.2021.25581

电子电气工程与控制

容量受限下城市对航班四维航迹优化

谢华 ,
黎子弘 ,
杨磊 ,
朱永文 ,
刘芳子

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1. 南京航空航天大学民航学院, 南京 211106;
2. 国家空域技术重点实验室, 北京 100085;
3. 中国民用航空局空中交通管理局战略发展部, 北京 100020

收稿日期: 2021-03-29

修回日期: 2021-06-21

网络出版日期: 2021-06-18

基金资助

国家自然科学基金(61903187);江苏省自然科学基金(BK20190414)

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Optimization of four-dimensional trajectory of city pair with limited capacity

XIE Hua ,
LI Zihong ,
YANG Lei ,
ZHU Yongwen ,
LIU Fangzi

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1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
2. Key Laboratory of National Airspace Technology, Beijing 100085, China;
3. Strategic Development Department, Air Traffic Management Bureau, Civil Aviation Administration of China, Beijing 100020, China

Received date: 2021-03-29

Revised date: 2021-06-21

Online published: 2021-06-18

Supported by

National Natural Science Foundation of China (61903187);Natural Science Foundation of Jiangsu Province (BK20190414)

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摘要

航班燃油效率的提高是全球航空运输系统转型发展的关键目标和重要挑战之一。基于航迹运行(TBO)的实施将对于增强空中交通可预测性和提高飞行效率具有重大作用,也为航班节能减排提供了新手段。综合考虑航空器动力学性能限制、可用航路限制、扇区容量约束、空中交通管制对于航班运行高度和速度的限制等,提出了容量受限下城市对"跑道-跑道"四维航迹多目标规划方法,适应性改进带精英策略的非支配排序遗传算法并进行求解。以上海虹桥-北京首都城市对航线为例,结果表明,在容量受限下,通过协同规划航班飞行路径、垂直剖面和飞行速度最多可以减少油耗8.79%,同时探讨了空域拥堵的时空特征对于航空器燃油效率的影响,阐述了优化结果随着拥堵发生的空间位置和严重程度的变化规律。为容量受限下科学配置城市对间空域资源提供了方法框架,将有利于促进TBO在我国的推广应用。

关键词： 空中交通管理; 基于航迹运行; 航迹规划; 燃油效率; 容流平衡

本文引用格式

谢华 , 黎子弘 , 杨磊 , 朱永文 , 刘芳子 . 容量受限下城市对航班四维航迹优化[J]. 航空学报, 2022 , 43(8) : 325581 -325581 . DOI: 10.7527/S1000-6893.2021.25581

Abstract

Improvement of aircraft fuel efficiency is one of the key goals and important challenges for the transformation and development of the global air transportation system. Implementation of Trajectory-Based Operation (TBO) will play a major role in enhancing the predictability of air traffic and flight efficiency, and will also provide new means for the aircraft to save energy and reduce emission. Based on a comprehensive consideration of the influence of aircraft dynamics, available routes, sector capacity, and air traffic control on the aircraft’s operating altitude and speed, this paper proposes a multi-objective planning method for the "runway-runway" four-dimensional trajectory of the city pair with limited capacity, and adaptively improves the non-dominated sorting genetic algorithm with the elite strategy and solves the algorithm. The Shanghai Hongqiao-Beijing Capital city pair route is used as an example. The results show that with limited capacity, cooperative planning of flight paths, vertical profile and flight speed can reduce fuel consumption by up to 8.79%. The influence of the temporal and spatial characteristics of airspace congestion on the fuel efficiency of aircraft is discussed, and the pattern that how optimal solutions evolve with different locations and severity of congestion is also analyzed. This paper provides a framework for scientific allocation of city pair airspace resources with limited capacity, which will facilitate popularization and application of TBO in China.

Key words： air traffic management; trajectory-based operation; trajectory planning; fuel efficiency; demand and capacity balancing

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