摘要
为提升航班计划的鲁棒性,提出基于航班重分配策略的航班计划网络鲁棒性的评估方法。首先,提出航班计划网络的构建方法,分析航班计划网络的无标度和小世界特性。给出航班计划网络鲁棒性的定义,以及航班重分配策略,重分配方式包括延迟起飞、取消起飞和转移起飞。基于复杂网络理论,从功能和结构两方面构建鲁棒性指标,并进行综合计算。最后以2019年上半年我国航班计划为例,采用本文方法分别对随机攻击和蓄意攻击下每小时航班计划网络的鲁棒性进行动态计算,分析航班计划网络鲁棒性与攻击时段、攻击机场数量、容量损失率和指标权重的关系。结果显示,随机攻击下,攻击机场数在20以内时,航班计划鲁棒性变化不大。蓄意攻击下航班计划网络鲁棒性较随机攻击有大幅下降,尤其对于高峰时段内机场容量损失率达10%及以上时,鲁棒性下降更为明显,并挖掘出使网络综合效率下降较快的7个关键机场。不同权重设置对鲁棒性较差时段的识别影响较小。结果表明,本文方法能实现不同时段航班计划网络鲁棒性的动态评估,并能挖掘出对航班计划编制和实际运行具有重要意义的规律。
An evaluation method of flight plan robustness based on flight redistribution strategy is proposed in order to improve the robustness of flight plan.Firstly,the method of building flight plan networks is proposed,and the characteristics of non-scale and small world are analyzed.Secondly,the robustness of flight plan and the flight redistribution strategy are defined.The ways of flight redistribution are delay,cancel and transfer.Then based on complex network theory,the robustness indicators are proposed from the aspects of traffic function and network structure.The robustness of China’s flight plan is analyzed by using the national flight plan in the first half of 2019.The relationships between flight plan robustness and attack intervals,number of attacked airports,capacity loss rate and different weight under random and intentional attacks are studied.The results show that within 20 attack airports the robustness changes a little under random attacks,while it decreases sharply under intentional attacks.Especially in rush hours,the robustness decreases faster when capacity loss rate is larger than 10%,and seven key airports making the comprehensive efficiency decline faster are discovered.Different weight settings have little impact on the identification of periods with poor robustness.The results indicates that the method proposed in this paper can dynamically evaluate the flight plan robustness in different time periods,and discover some meaningful laws for flight plan compiling and practical operation.
作者
李善梅
胡锦标
许思莹
孙登江
韦正昊
LI Shanmei;HU Jinbiao;XU Siying;SUN Dengjiang;WEI Zhenghao(College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China;Operation Supervisory Centre,Civil Aviation Administration of China,Beijing 100710,China;Daxing Air Traffic Control Center,CAAC North China Reginal Administration,Beijing 100621,China)
出处
《南京航空航天大学学报》
CAS
CSCD
北大核心
2023年第6期1044-1054,共11页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家自然科学基金(71801215)
中央高校基本科研业务费专项资金(312202YY02)
天津市应用基础多元投入基金
民航局安全能力建设资金(SKZ49420220027)。
