Acknowledgement
본 논문은 해양수산부 재원으로 선박해양플랜트연구소의 주요사업인 "선박해양 디지털 전환 지원을 위한 디지털서비스 플랫폼 개발"에 의해 수행되었습니다(1525014879).
References
- Alt, H.(2009), "The computational geometry of comparing shapes", Efficient Algorithms: Essays Dedicated to Kurt Mehlhorn on the Occasion of His 60th Birthday, pp. 235-248.
- Buchin, M., Dodge, S. and Speckmann, B.(2012), "Context-aware similarity of trajectories", Proc. of the Seventh International Conference on Geographic Information Science, GIScience, pp. 43-56.
- Davies, D. L. and Bouldin, D. W.(1979), "A cluster separation measure", IEEE transactions on pattern analysis and machine intelligence, Vol. PAMI-1, No. 2, pp. 224-227. https://doi.org/10.1109/TPAMI.1979.4766909
- Dobrkovic, A., Iacob, M. E. and van Hillegersberg, J.(2018), "Maritime pattern extraction and route reconstruction from incomplete AIS data", International Journal of Data science and Analytics, Vol. 5, pp. 111-136. https://doi.org/10.1007/s41060-017-0092-8
- Fisher, D.(1996), "Iterative optimization and simplification of hierarchical clusterings", Journal of artificial intelligence research, Vol. 4, pp. 147-178. https://doi.org/10.1613/jair.276
- Keogh, E. and Ratanamahatana, C. A.(2005), "Exact indexing of dynamic time warping", Knowledge and information systems, Vol. 7, pp. 358-386. https://doi.org/10.1007/s10115-004-0154-9
- Kim, K. I., Jeong, J. S. and Park, G. K.(2014), "A Study on Near-miss Incidents from Maritime Traffic Flow by Clustering Vessel Positions", Journal of Korean Institute of Intelligent Systems, Vol. 24, No. 6, pp. 603-608. https://doi.org/10.5391/JKIIS.2014.24.6.603
- Lee, H. K., Chang, S. R., Jeong, G. N. and Park, Y. S.(2010), "A proposal on the marine traffic supporting system in VTS area", Journal of Navigation and Port Research, Vol. 34, No. 9, pp. 693-698. https://doi.org/10.5394/KINPR.2010.34.9.693
- Magdy, N., Sakr, M. A., Mostafa, T. and El-Bahnasy, K.(2015), "Review on trajectory similarity measures", Proc. of the Seventh International Conference on Intelligent Computing and Information Systems, ICICIS, pp. 613-619.
- Oh, J. Y., Kim, H. J. and Park, S. K.(2018), "Detection of ship movement anomaly using AIS data: a study", Journal of Navigation and Port Research, Vol. 42, No. 4, pp. 277-282. https://doi.org/10.5394/KINPR.2018.42.4.277
- Pallotta, G., Vespe, M. and Bryan, K.(2013), "Vessel pattern knowledge discovery from AIS data: A framework for anomaly detection and route prediction", Entropy, Vol. 15, No. 6, pp. 2218-2245. https://doi.org/10.3390/e15062218
- Park, S. Y. and Park, Y. S.(2022), "A basic study on intersection congestion using simulation: focusing on the crossing vessels in Busan New Port caution area", Journal of Korean Society of Transportation, Vol. 40, No. 3, pp. 319-334. https://doi.org/10.7470/jkst.2022.40.3.319
- Rong, H., Teixeira, A. P. and Soares, C. G.(2020), "Data mining approach to shipping route characterization and anomaly detection based on AIS data", Ocean Engineering, Vol. 198, 106936.
- Zhao, L. and Shi, G.(2019), "A novel similarity measure for clustering vessel trajectories based on dynamic time warping", The Journal of Navigation, Vol. 72, No. 2, pp. 290-306. https://doi.org/10.1017/S0373463318000723
- Zhen, R., Jin, Y., Hu, Q., Shao, Z. and Nikitakos, N.(2017), "Maritime anomaly detection within coastal waters based on vessel trajectory clustering and Naive Bayes Classifier", The Journal of Navigation, Vol. 70, No. 3, pp. 648-670. https://doi.org/10.1017/S0373463316000850