Journal of Guangxi Normal University(Natural Science Edition) ›› 2025, Vol. 43 ›› Issue (4): 15-23.doi: 10.16088/j.issn.1001-6600.2024061404

• Intelligent Transportation • Previous Articles     Next Articles

Research on Arrival Trajectory Prediction Based on K-means and Adam-LSTM

LI Zongxiao1,2, ZHANG Jian1*, LUO Xinyue1, ZHAO Yifei1, LU Fei1   

  1. 1. College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China;
    2. Civil Aviation Guangxi Air Traffic Sub-bureau, Nanning Guangxi 530048, China
  • Received:2024-06-14 Revised:2024-09-28 Online:2025-07-05 Published:2025-07-14

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Abstract: It is the current mode of air traffic management that flight crews fly according to the instructions from air traffic controllers. With the increase of the number of flights, in order to effectively improve the efficiency of air traffic operation and reduce the workload of controllers, the development of intelligent air traffic management based on track prediction has become a new topic. Aiming at the research of flight track prediction technology, a two-stage flight track prediction method is put forward innovatively in this paper, which includes classification and then prediction. Firstly, K-means is used to cluster and classify the flight track based on the data of a certain airport. Next, Adam-LSTM deep learning model is constructed for each type of approach track, and high quality track prediction is realized. The results show that, compared with the traditional prediction model, the track prediction effect is greatly improved. The research results can provide technical support for intelligent air traffic management and abnormal track recognition.

Key words: air traffic, working load, track prediction, deep learning

CLC Number:  V355
[1] ICAO. 2016-2030 Global air navigation plan[R]. Montréal: International Civil Aviation Organization, 2016.
[2] 赵嶷飞,王梦琦.空中交通工程学理论内涵与关键科学技术[J].航空学报,2022,43(12): 026537. DOI: 10.7527/S1000-6893.2022.26537.
[3] 张阳,程先峰,刘岩.空中交通基于四维轨迹运行概念及其应用[J].指挥信息系统与技术,2020,11(5): 5-10. DOI: 10.15908/j.cnki.cist.2020.05.002.
[4] ALLIGIER R, GIANAZZA D, DURAND N. Machine learning and mass estimation methods for ground-based aircraft climb prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(6): 3138-3149. DOI: 10.1109/TITS.2015.2437452.
[5] ZENG W L, QUAN Z B, ZHAO Z Y, et al. A deep learning approach for aircraft trajectory prediction in terminal airspace[J]. IEEE Access, 2020, 8: 151250-151266. DOI: 10.1109/ACCESS.2020.3016289.
[6] MA L, TIAN S. A hybrid CNN-LSTM model for aircraft 4D trajectory prediction[J]. IEEE Access, 2020, 8: 134668-134680. DOI: 10.1109/ACCESS.2020.3010963.
[7] ZHANG X G, MAHADEVAN S. Bayesian neural networks for flight trajectory prediction and safety assessment[J]. Decision Support Systems, 2020, 131: 113246. DOI: 10.1016/j.dss.2020.113246.
[8] 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. DOI: 10.3969/j.issn.0258-2724.2014.03.028.
[9] 王涛波,黄宝军.基于改进卡尔曼滤波的四维飞行航迹预测模型[J].计算机应用,2014,34(6): 1812-1815. DOI: 10.11772/j.issn.1001-9081.2014.06.1812.
[10] 吕波,王超.改进的扩展卡尔曼滤波在航空器4D航迹预测算法中的应用[J].计算机应用,2021,41(z1): 277-282. DOI: 10.11772/j.issn.1001-9081.2020071144.
[11] 石庆研,王文青,韩萍.基于在线更新LSTM网络的短期4D航迹预测算法[J].信号处理,2021,37(1): 66-74. DOI: 10.16798/j.issn.1003-0530.2021.01.008.
[12] SHAFIENYA H, REGAN A C. 4D flight trajectory prediction using a hybrid Deep Learning prediction method based on ADS-B technology: a case study of Hartsfield-Jackson Atlanta International Airport (ATL)[J]. Transportation Research Part C: Emerging Technologies, 2022, 144: 103878. DOI: 10.1016/j.trc.2022.103878.
[13] ZENG W L, CHU X, XU Z F, et al. Aircraft 4D trajectory prediction in civil aviation: a review[J]. Aerospace, 2022, 9(2): 91. DOI: 10.3390/aerospace9020091.
[14] VANWELSENAERE A, ELLERBROEK J, HOEKSTRA J, et al. Analysis on the impact of pop-up flight occurrence when extending the arrival management horizon[C]//Proceedings of the 12th USA/Europe Air Traffic Management Research and Development Seminar. Red Hook, NY: Curran Associates, Inc., 2017: 151-160.
[15] DESHMUKH R, SUN D W, HWANG I. Data-driven precursor detection algorithm for terminal airspace operations[C]//Proceedings of the 13th USA/Europe Air Traffic Management Research and Development Seminar. Red Hook, NY: Curran Associates, Inc., 2019: 282-288.
[16] OLIVE X, BASORA L. Identifying anomalies in past en-route trajectories with clustering and anomaly detection methods[C]//Proceedings of the Thirteenth USA/Europe Air Traffic Management Research and Development Seminar. Red Hook, NY: Curran Associates, Inc., 2019: 272-281.
[17] DAI L, LIU Y L, HANSEN M. Sequential prediction of go-around occurrence[EB/OL]. (2022-01-27)[2024-06-01]. https://dx.doi.org/10.2139/ssrn.4019517. DOI: 10.2139/ssrn.4019517.
[18] 张健,罗鑫悦,黎宗孝,等.基于动态贝叶斯网络的无人机航迹模型研究[J].中国安全生产科学技术,2023,19(11): 188-193. DOI: 10.11731/j.issn.1673-193x.2023.11.026.
[19] 赵元棣,李科频,朱文心.航空器爬升与下降阶段4D航迹预测[J].科学技术与工程,2023,23(17): 7582-7588. DOI: 10.3969/j.issn.1671-1815.2023.17.050.
[20] WU Y, YU H Y, DU J P, et al. An aircraft trajectory prediction method based on trajectory clustering and a spatiotemporal feature network[J]. Electronics, 2022, 11(21): 3453. DOI: 10.3390/electronics11213453.
[21] 陈玉立,佟强,谌彤童,等.基于注意力机制和生成对抗网络的飞行器短期航迹预测模型[J].计算机应用,2022,42(10): 3292-3299. DOI: 10.11772/j.issn.1001-9081.2021081387.
[22] HUANG J, DING W J. Aircraft trajectory prediction based on Bayesian optimised temporal convolutional network-bidirectional gated recurrent unit hybrid neural network[J]. International Journal of Aerospace Engineering, 2022, 2022(1): 2086904. DOI: 10.1155/2022/2086904.
[23] 韩萍,张启,石庆研,等.基于DBSCAN-GRU算法的终端区4D航迹预测[J].信号处理,2023,39(3): 439-449. DOI: 10.16798/j.issn.1003-0530.2023.03.007.
[24] ZHOU J L, ZHANG H H, LYU W Y, et al. Hybrid 4-dimensional Trajectory prediction model, based on the reconstruction of prediction time span for aircraft en Route[J]. Sustainability, 2022, 14(7): 3862. DOI: 10.3390/su14073862.
[25] JIA P Y, CHEN H P, ZHANG L, et al. Attention-LSTM based prediction model for aircraft 4-D trajectory[J]. Scientific Reports, 2022, 12(1): 15533. DOI: 10.1038/s41598-022-19794-1.
[26] 石庆研,张泽中,韩萍.基于时空特征融合的Encoder-Decoder多步4D短期航迹预测[J].信号处理,2023,39(11): 2037-2048. DOI: 10.16798/j.issn.1003-0530.2023.11.013.
[27] 卢婷婷,刘博,李纯柱.基于注意力Seq2Seq模型的终端区航空器航迹预测[J].科学技术与工程,2024,24(9): 3882-3895. DOI: 10.12404/j.issn.1671-1815.2304239.
[28] 王堃,周志崇,曲凯,等.基于注意力机制的CNN-LSTM模型的航迹预测[J].空军工程大学学报,2023,24(6): 50-57. DOI: 10.3969/j.issn.2097-1915.2023.06.007.
[29] CHOI H C, DENG C H, HWANG I. Hybrid machine learning and estimation-based flight trajectory prediction in terminal airspace[J]. IEEE Access, 2021, 9: 151186-151197. DOI: 10.1109/ACCESS.2021.3126117.
[30] LE T H, TRAN N P, PHAM D T, et al. Short-term trajectory prediction using generative machine learning methods[C]//9th International Conference on Research in Air Transportation (ICRAT 2020). Barcelona: ICRAT, 2020: 1-7.
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