@article{Cheng_Chen_Mou_Chen_2023,
	author = {Cheng, Zhaoxi and Chen, Pengfei and Mou, Junmin and Chen, Linying},
	title = {Multi-ship Encounter Situation Analysis with the Integration of Elliptical Ship Domains and Velocity Obstacles},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {17},
	number = {4},
	pages = {895-902},
	year = {2023},
	url = {./Article_Multi-ship_Encounter_Situation_Cheng,68,1361.html},
	abstract = {With economic globalization, ships tend to be larger and faster, and the volume of maritime traffic is increasing. Ships sailing in waters with dense traffic flow are easy to fall into complicated multi-ship encounter situations and have a high risk of collision. Thus, it is crucial to conduct risk analysis in such situations. In this paper, a modified collision analysis method for detecting dangerous multi-ship encounters in ports and waterways is proposed. The velocity obstacle algorithm is utilized to detect encounters. The model of the elliptic ship domain was integrated into the algorithm as the criteria. The Boolean operation was also used in the multi-ship encounter. A case study is conducted to illustrate the efficacy of the improved model, and a comparison between the existing method and the formal model is also performed. The results indicate that with the integration of the ship domain, the proposed method can effectively detect the encounters of multiple ships which are dangerous to collide.},
	doi = {10.12716/1001.17.04.16},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Collision Avoidance, Risk Analysis, Multi-Ship Encounter Situation, Analysis of Ship Collision, Safety of Maritime Transport, Elliptical Ship Domain, Time-Discrete Velocity Obstacle Algorithm (TD-NLVO), AIS}
}