持续增长的交通需求量和日趋饱和的可用空域资源促使未来空中交通管理向基于航迹运行(TBO)的精细化管理模式转变。在TBO概念的基础上,依据目前繁忙机场终端区常见进场航线结构,提出了对应TBO模式下的截点直飞方式与融合点方式进场交通流优化模型,并以法国戴高乐机场终端区为例,构建了仿真运行环境。基于实际飞行计划与雷达记录轨迹模拟生成了航空器四维航迹,而后运用上述2种模型对进场交通流进行了优化,根据仿真结果对特定交通流参数展开了对比分析。研究结果表明,模型可通过航迹选择、时隙分配、顺序交换及动态间隔等方式有效化解终端区内潜在的航空器冲突并保持交通流安全高效运行,同时在一定程度上揭示了TBO模式下交通流的部分运行特性,为以四维航迹为核心的未来空中交通管理策略提供了理论支持。
Continuously increasing traffic demand and gradually saturated airspace are promoting a transformation which will shift future air traffic management system to a refined management mode with Trajectory Based Operation (TBO) as its core. Conforming to the TBO concept and current air route structure in busy terminal airspace, traffic flow optimization models corresponding to short-cut directly fly arrival mode and merge-point arrival mode with TBO characterized are proposed respectively. Charles de Gaulle Airport is taken as an example to build the terminal airspace simulation environment. Based on actual flight plans and radar data, four-dimensional flight trajectories are generated and optimized by the two models. According to the simulation outcomes, analysis and comparisons of traffic flow characteristics for the two models are carried out. The results show that the models can effectively avoid potential aircraft conflicts and maintain a safe and efficient traffic flow operation in terminal airspace by implementing trajectory selection, time slot rescheduling, dynamic separation, sequence exchange, etc. It reveals traffic flow characteristics under the TBO mode and provides theoretical support for the future air traffic management strategy centered on the four-dimensional trajectory.
[1] JUNG Y, HOANG T, MONTOYA J, et al. A concept and implementation of optimized operations of airport surface traffic[C]//10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference. Reston:AIAA, 2010:9213.
[2] DE NEUFVILLE R, ODONI A. Airport systems:Planning, design, and management[M]. New York:McGraw-Hill Professional, 2003:144-146.
[3] GROPPE M, PAGLIARI R, HARRIS D. Applying cognitive work analysis to study airport collaborative decision making design[C]//Proceedings of the ENRI International Workshop on ATM/CNS,2009:77-88.
[4] SESAR. European ATM master plan-The roadmap for sustainable air traffic management[R].Luxembourg:SESAR Consortium, 2012.
[5] FAA. The future of the NAS[R]. Washington, D.C.:Federal Aviation Administration, 2016.
[6] RUIZ S, PIERA M A, DEL POZO I. A medium term conflict detection and resolution system for terminal maneuvering area based on spatial data structures and 4D trajectories[J]. Transportation Research Part C:Emerging Technologies, 2013, 26:396-417.
[7] 张军峰,蒋海行,武晓光,等.基于BADA及航空器意图的四维航迹预测[J].西南交通大学学报,2014,49(3):553-558. ZHANG J F, JIANG H X, WU X G, et al. 4 dimension trajectory forecast based on BADA and aircraft intent[J]. Journal of Southwest Jiaotong University, 2014, 49(3):553-558(in Chinese).
[8] KORN B, HELMKE H, KUENZ A. 4D trajectory management in the extended TMA:Coupling AMAN and 4D FMS for optimized approach trajectories[C]//25th International Council of Aeronautical Sciences, 2006.
[9] JOHNSON S C, BARMORE B. NextGen far-term concept exploration for integrated gate-to-gate trajectory-based operations[C]//16th AIAA Aviation Technology, Integration, and Operations Conference. Reston:AIAA 2016.
[10] HANSEN M, NIKOLERIS T, LOVELL D, et al. Use of queuing models to estimate delay savings from 4D trajectory precision[C]//Eighth USA/Europe Air Traffic Management Research and Development Seminar,2009.
[11] NIKOLERIS T, HANSEN M. Queueing models for trajectory-based aircraft operations[J]. Transportation Science, 2012, 46(4):501-511.
[12] RAMASAMY S, SABATINI R, GARDI A, et al. Next generation flight management system for real-time trajectory based operations[J]. Applied Mechanics and Materials, 2014, 3446:344-349.
[13] XU Y, PRATS X, DELAHAYE D. Synchronization of traffic flow and sector opening for collaborative demand and capacity balancing[C]//2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC). Piscataway:IEEE Press, 2018:1-10.
[14] 张洪海,杨磊,别翌荟, 等.终端区进场交通流广义跟驰行为与复杂相变分析[J].航空学报,2015,36(3):949-961. ZHANG H H, YANG L, BIE Y H, et al. Analysis on generalized following behavior and complex phase transition law of approaching traffic flow in terminal airspace[J]. Acta Aeronautia et Astronautica Sinica,2015,36(3):949-961(in Chinese).
[15] ZHANG H, YANG X, FAN W, et al. Guidance control strategy for air traffic flow in terminal areas[J]. Advances in Mechanical Engineering, 2016, 8(10):15-64.
[16] ZELINSKI S J, JUNG J. Arrival scheduling with shortcut path options and mixed aircraft performance[C]//Proceedings of the Eleventh USA/Europe Air Traffic Management Research and Development Seminar,2015.
[17] LIANG M, DELAHAYE D, MARÉCHAL P. Integrated sequencing and merging aircraft to parallel runways with automated conflict resolution and advanced avionics capabilities[J]. Transportation Research Part C:Emerging Technologies, 2017, 85:268-291.
[18] LIANG M, DELAHAYE D, MARéCHAL P. A framework of point merge-based autonomous system for optimizing aircraft scheduling in busy TMA[C]//5th SESAR Innovation Days, 2015.
[19] BALAKRISHNAN H, JUNG Y. A framework for coordinated surface operations planning at Dallas-Fort Worth International Airport[C]//AIAA Guidance, Navigation and Control Conference and Exhibit. Reston:AIAA, 2007.
[20] PRETE J, KROZEL J, MITCHELL J, et al. Flexible, performance-based route planning for super-dense operations[C]//AIAA Guidance, Navigation and Control Conference and Exhibit,2008.
[21] Eurocontrol Experimental Centre. Point merge integration of arrival flows enabling extensive RNAV application and continuous descent[R]. Paris:Eurocontrol, 2010.