Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters
1 Shanghai Maritime University, Shanghai, China
ABSTRACT: 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.
KEYWORDS: Anti-Collision, Vessel Traffic Service (VTS), Restricted Waters, Ship Domain, Collision Risk, Clustering Analysis, DBSCAN Algorithm, Collision Risk Area
REFERENCES
Xuwu Su, Guangyou Yang, Guozhu Zhou. Comparison of fuzzy mathematics in pattern recognition applications. Journal of Hubei University, 2005
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.
Xiaolin Zhu, Hanzhen Xu. A ship collision risk model based on neural network [J]. Journal of Huazhong Science University, 2005, 28(10).
Lin He, Linda Wu, Yizhao Cai. Summary of clustering algorithms in data mining. Application and Research of Computers, 2007(10).
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).
E.M.Goodwin, A statistical study of ship domain, The Journal of Navigation, 1975, vol.28, no.3 : 328-344
E.M.Goodwin, Determination of ship Domain Size．Proceedings of International Conference on Mathematical Aspect of Marine Traffic．London：Academic Press，1977：103-127
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
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
Tao Liu, Qinyou Hu, Chun Yang. cluster analysis and recognition in heavy water traffic area [J]. China Navigation. 2010.33(04)
Citation note:
Xiang Z., Hu Q., Shi C.J.: A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 7, No. 1, doi:10.12716/1001.07.01.13, pp. 101-105, 2013
Other publications of authors:
File downloaded 1373 times
