考虑空域时空特性的动态多跑道使用策略优化方法OA北大核心CSTPCD
Optimization of Dynamic Multi-Runway Use Strategy Considering Spatio-Temporal Characteristics of Airspace
多跑道机场飞行区运行效率低下会导致空域-跑道系统容流供需失衡,进而造成终端区空域交通拥堵、航班延误现象频发.为提升多跑道机场终端区运行效率,借助全空域与机场模型软件(total airspace and airport modeler,TAAM)建立空域仿真模型,针对不同运行模式动态转换下对终端区交通流走向、扇区开合等空域时空特性的影响进行分析,提出1种考虑不同运行时段内终端区机场走廊口流量配比和进离港流量分布的动态多跑道使用策略优化方法.首先,使用TAAM综合考虑不同跑道运行模式下各扇区内航班流量、高度变更、移交协调及冲突解脱对管制负荷的影响,拟合得出不同跑道运行模式下基于当量航空器架次的各扇区管制负荷函数.以终端区内航班平均飞行时间、平均延误时间及管制员工作负荷为优化目标,建立了跑道使用策略优化模型.设计了1种基于航空器基本性能数据库(the base aircraft data,BADA)的多目标非支配排序遗传算法(NSGA-II),并结合机场实际运行条件在无运行限制、运行方向限制、运行模式限制等5种场景下进行仿真计算.对各场景Pareto最优解集进行评价得出不同场景下最优跑道使用策略,并使用TAAM进行仿真对比验证.结果表明:无运行限制和运行方向限制相较于单一跑道运行模式的航班服务效率提升10.15%,5.01%;管制员工作负荷减少3.91%,3.4%;延误时间减少28.86%,19.46%.
The inefficient operation of the airfield area in multi-runway airports leads to an imbalance between air-space capacity and service efficiency of runway.This question further causes frequent traffic congestion and flight delays in the terminal area.Aiming at this issue,this paper utilizes the Total Airspace and Airport Modeler(TAAM)to establish an airspace simulation model.The model is used to investigate the impact of dynamic transitions be-tween different configurations on the spatial and temporal characteristics of the terminal area,such as traffic flow di-rection and sector operation.Based on the result,a dynamic multi-runway use strategy optimization method is pro-posed,considering the traffic ratio at the arrival and departure waypoint and the distribution of arrival and departure aircraft during different operational periods.The airspace simulation models under different runway configurations scenarios are simulated using TAAM.According to the simulation outcomes,the correlation functions between the workload and the equivalent number of aircraft flights under different runway configuration are derived through fit-ting,taking into account various factors such as the impact of aircraft movement,altitude changes,handover coordi-nation,and conflict resolution on the workload.With the average flight time,average delay time,and workload in the terminal area as optimization goals,a multi-runway use strategy optimization model is established.A multi-ob-jective non-dominated sorting genetic algorithm(NSGA-II)based on the Base Aircraft Data(BADA)is designed.Combining the actual operating conditions of the example airport,five scenarios are set up for simulation calcula-tions,including no operating restrictions,operating direction restrictions,and operating configuration restrictions,etc.The Pareto optimal solution set for each scenario is evaluated to determine the optimal runway usage strategy under different scenarios,and TAAM is used for simulation comparison and verification.The results show that com-pared to the only runway configuration,the service efficiency of the runway usage strategy without operating restric-tions and with operating direction restrictions is improved by 10.15%and 5.01%,the workload is reduced by 3.91%and 3.4%,and the average delay time is reduced by 28.86%and 19.46%.
朱承元;白锴迪;赵志刚
中国民航大学空中交通管理学院 天津 300300
航空运输空中交通管制跑道使用策略NSGA-IITAAM
air transportationair traffic controlrunway usage strategyNSGA-IITAAM
《交通信息与安全》 2024 (001)
94-104 / 11
国家自然科学基金项目(U1833103、62173332)、中央高校基本科研业务费项目(3122017068)资助
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