[1] [1] QIAN L, ZHENG Y Z, LI L,et al. A new method of inland water ship trajectory prediction based on long short-term memory network optimized by genetic algorithm［J］. Applied Sciences, 2022, 12: 4073. DOI：10.3390/app12084073.

[2] [2] SRIVASTAVA S， KUMAR L， JEYANTHI R，et al. Framework for ship trajectory forecasting based on linear stationary models using automatic identification system ［J］. Procedia Computer Science, 2023, 218：1463-1474. DOI：10.1016/j.procs.2023.01.125.

[3] [3] THIND N S，HERING J, SFFKER D. Fast and precise generic model for position-based trajectory prediction of inland waterway vessels ［J］. Automation, 2022, 3：633-645. DOI：10.3390/automation3040032.

[4] [4] ZHANG M L, HUANG L, WEN Y Q,et al. Short-term trajectory prediction of maritime vessel usingK-nearest neighbor points［J］. Journal of Marine Science and Engineering, 2022, 10：1939. DOI：10.3390/jmse10121939.

[5] [5] ZHANG L X, ZHU Y, SU J,et al. A hybrid prediction model based on KNN-LSTM for vessel trajectory［J］. Mathematics, 2022, 10：4493. DOI：10.3390/math10234493.

[6] [6] XU Y，ZHANG J L, REN Y J,et al. Improved vessel trajectory prediction model based on Stacked-BiGRUs［J］. Security and Communication Networks, 2022, 2022：8696558. DOI：10.1155/2022/8696558.

[7] [7] CHEN X Q, WEI C X, ZHOU G L,et al. Automatic identification system （AIS） data supported ship trajectory prediction and analysis via a deep learning model ［J］. Journal of Marine Science and Engineering, 2022, 10：1314. DOI：10.3390/jmse10091314.

[8] [8] ZHANG J N, WANG H, CUI F J,et al. Research into ship trajectory prediction based on an improved LSTM network ［J］. Journal of Marine Science and Engineering, 2023, 11：1268. DOI：10.3390/jmse11071268.

[9] [9] LIN Z, YUE W Q，HUANG J，et al. Ship trajectory prediction based on the TTCN-Attention-GRU model ［J］. Electronics，2023, 12：2556. DOI：10.3390/electronics12122556.

[10] [10] BAO K X, BI J Q, GAO M，et al. An improved ship trajectory prediction based on AIS data using MHA-BiGRU［J］. Journal of Marine Science and Engineering, 2022, 10：804. DOI：10.3390/jmse10060804.

[14] [14] ZHANG Y B，HAN Z H, ZHOU X,et al. PESO：an Seq2Seq-based vessel trajectory prediction method with parallel encoders and ship-oriented decoder［J］. Applied Sciences, 2023, 13：4307. DOI：10.3390/app13074307.