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A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters

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Języki publikacji
EN
Abstrakty
EN
The identification of areas of collision risk in restricted waters could play an important role in VTS services. Based on the concept of ship domain, this paper introduces a model for identifying collision risk between vessels in restricted waters, then puts forward an improved DBSCAN clustering algorithm for identifying areas of high collision risk, finally, the visualization algorithm is presented. The experimental results in this paper show the algorithm is capable of identifying and rendering areas of collision risk in restricted waters.
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  • Merchant Marine College, Shanghai Maritime University, China
autor
  • Merchant Marine College, Shanghai Maritime University, China
autor
  • Merchant Marine College, Shanghai Maritime University, China
Bibliografia
  • [1] Xuwu Su, Guangyou Yang, Guozhu Zhou. Comparison of fuzzy mathematics in pattern recognition applications. Journal of Hubei University, 2005
  • [2] Xide Cheng, Zhuyuan Liu. Using improved BP neural network caculate open water ship collision risk [C]. Naval Architecture and Ocean Engineering Research Album.2001,143:91‐93.
  • [3] Xiaolin Zhu, Hanzhen Xu. A ship collision risk model based on neural network [J]. Journal of Huazhong Science University, 2005, 28(10).
  • [4] Lin He, Linda Wu, Yizhao Cai. Summary of clustering algorithms in data mining. Application and Research of Computers, 2007(10).
  • [5] Jian Li, Wei Yu, Baoping Yan. Memory effect in DBSCAN algorithm. 2009 4th International Conference on Computer Science and Education(ICCSE 2009), 2009(31‐36).
  • [6] E.M.Goodwin, A statistical study of ship domain, The Journal of Navigation, 1975, vol.28, no.3 : 328‐344
  • [7] E.M.Goodwin, Determination of ship Domain Size Proceedings of International Conference on Mathematical Aspect of Marine Traffic London Academic Press 1977 103‐127
  • [8] E.M.Goodwin, J.f.Kemp, A survey of marine traffic in the southern north sea, The Journal of Navigation, 1977, vol.30, no.4: 378
  • [9] P.A.Davis, M.J.Dove, C.T.Stockel, A computer simulation of marine traffic using domains and areas, The Journal of Navigation, 1980, vol.33, no.2: 215‐222
  • [10] Tao Liu, Qinyou Hu, Chun Yang. cluster analysis and recognition in heavy water traffic area [J]. China Navigation. 2010.33(04)
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-67ede4ce-e9df-4577-adbc-46b1545f2ed3
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