@article{Xiang_Hu_Shi_2013,
	author = {Xiang, Zhe and Hu, Qinyou and Shi, Chaojian},
	title = {A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {7},
	number = {1},
	pages = {101-105},
	year = {2013},
	url = {./Article_A_Clustering_Analysis_for_Identifying_Xiang,25,415.html},
	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.},
	doi = {10.12716/1001.07.01.13},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Anti-Collision, Vessel Traffic Service (VTS), Restricted Waters, Ship Domain, Collision Risk, Clustering Analysis, DBSCAN Algorithm, Collision Risk Area}
}