基于Transformer-GRU网络的4D航迹预测

doi:10.3969/j.issn.1674-0696.2024.06.13

重庆交通大学学报（自然科学版） ›› 2024, Vol. 43 ›› Issue (6): 94-101.DOI: 10.3969/j.issn.1674-0696.2024.06.13

• 交通+大数据人工智能 • 上一篇下一篇

基于Transformer-GRU网络的4D航迹预测

翟文鹏，宋一峤，张兆宁

(中国民航大学空中交通管理学院，天津 300300)

收稿日期:2023-06-21 修回日期:2023-12-21 发布日期:2024-06-24

4D Trajectory Prediction Based on Transformer-GRU Network

ZHAI Wenpeng, SONG Yiqiao, ZHANG Zhaoning

(College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China)

Received:2023-06-21 Revised:2023-12-21 Published:2024-06-24

摘要/Abstract

摘要： 航空器的4D航迹预测作为基于航迹运行(TBO)的关键技术之一具有非常重要的意义。基于Transformer-GRU(T-GRU)网络，提出了一种新的航迹预测方法，结合Adamax优化器实现了4D航迹预测。利用 Transformer网络的自注意力机制对输入序列进行建模，通过GRU网络获取时序数据的特征；对原始航迹数据进行重采样插值和中值滤波等预处理，以便消除数据缺失和异常值等对预测的影响；通过EE、EAT、ECT、EA等误差指标对实验结果进行评价，并与其他常用的航迹预测方法进行对比。研究结果表明：与传统深度学习方法相比，基于T-GRU网络的4D航迹预测模型在航迹预测中具有更高的准确性和鲁棒性。

Abstract: The 4D trajectory prediction of aircraft is one of the key technologies based on trajectory-based operations (TBO), which has significant significance. Based on Transformer-GRU (T-GRU) network, a trajectory prediction method was proposed and 4D trajectory prediction was realized by combining with Adamax optimizer. Firstly, the self-attention mechanism of the Transformer network was used to model the input sequence, and the features of time-series data were obtained through the GRU network. Secondly, the original trajectory data was preprocessed by resampling interpolation and median filtering to eliminate the impact of data missing and outliers on prediction. Finally, the experimental results were evaluated through error indicators such as EE, EAT, ECT and EA, and compared with other commonly used trajectory prediction methods. The research results show that the proposed T-GRU network-based 4D trajectory prediction model has higher accuracy and robustness in trajectory prediction, compared with traditional deep learning methods.

翟文鹏，宋一峤，张兆宁. 基于Transformer-GRU网络的4D航迹预测[J]. 重庆交通大学学报（自然科学版）, 2024, 43(6): 94-101.

ZHAI Wenpeng, SONG Yiqiao, ZHANG Zhaoning. 4D Trajectory Prediction Based on Transformer-GRU Network[J]. Journal of Chongqing Jiaotong University(Natural Science), 2024, 43(6): 94-101.

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基于Transformer-GRU网络的4D航迹预测

4D Trajectory Prediction Based on Transformer-GRU Network

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