Author:
Liu Xiliang,Zhi Xiaoying,Wang Peng,Mei Qiang,Su Haoru,He Zhixiang
Publisher
Springer Nature Singapore
Reference26 articles.
1. Xiao, Z., Fu, X., Zhang, L., Goh, R.S.M.: Traffic pattern mining and forecasting technologies in maritime traffic service networks: a comprehensive survey. IEEE Trans. Intell. Transp. Syst. 21(5), 1796–1825 (2019)
2. Tetreault, B.J.: Use of the Automatic Identification System (AIS) for maritime domain awareness (MDA). In: Proceedings of OCEANS 2005 MTS/IEEE, 17–23 September 2005, Washington, DC, USA, pp. 1590–1594. IEEE (2005)
3. Yang, D., Wu, L., Wang, S., Jia, H., Li, K.X.: How big data enriches maritime research–a critical review of automatic identification system (AIS) data applications. Transp. Rev. 39(6), 755–773 (2019)
4. Lu, N., Liang, M., Yang, L., Wang, Y., Xiong, N., Liu, R.W.: Shape-based vessel trajectory similarity computing and clustering: a brief review. In: 2020 5th IEEE International Conference on Big Data Analytics (ICBDA), 8–11 May 2020, Xiamen, China, pp. 186–192. IEEE (2020)
5. Besse, P.C., Guillouet, B., Loubes, J.-M., Royer, F.: Review and perspective for distance-based clustering of vehicle trajectories. IEEE Trans. Intell. Transp. Syst. 17(11), 3306–3317 (2016)