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Algorithms 2018, 11(12), 204; https://doi.org/10.3390/a11120204

A Novel Method for Risk Assessment and Simulation of Collision Avoidance for Vessels based on AIS

1
Information Science and Technology College, Dalian Maritime University, Dalian 116026, China
2
Vietnam Maritime University, Haiphong 35000, Vietnam
*
Author to whom correspondence should be addressed.
Received: 9 November 2018 / Revised: 5 December 2018 / Accepted: 11 December 2018 / Published: 14 December 2018
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Abstract

The identification of risks associated with collision for vessels is an important element in maritime safety and management. A vessel collision avoidance system is a topic that has been deeply studied, and it is a specialization in navigation technology. The automatic identification system (AIS) has been used to support navigation, route estimation, collision prediction, and abnormal traffic detection. This article examined the main elements of ship collision, developed a mathematical model for the risk assessment, and simulated a collision assessment based on AIS information, thereby providing meaningful recommendations for crew training and a warning system, in conjunction with the AIS on board. View Full-Text
Keywords: collision avoidance; collision risk index; collision risk assessment; AIS collision avoidance; collision risk index; collision risk assessment; AIS
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Nguyen, M.; Zhang, S.; Wang, X. A Novel Method for Risk Assessment and Simulation of Collision Avoidance for Vessels based on AIS. Algorithms 2018, 11, 204.

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