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

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.

[1]  Xiankun Wang Several experience of ship collision avoidance , 2012, 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet).

[2]  Jinxian Weng,et al.  Development of a quantitative risk assessment model for ship collisions in fairways , 2017 .

[3]  A. Banachowicz,et al.  Calculation accuracy of safe course made good in an anticollision system , 2008 .

[4]  Jianlei Lang,et al.  Estimating ship emissions based on AIS data for port of Tianjin, China , 2016 .

[5]  Zbigniew Pietrzykowski,et al.  Decision Support System in Marine Navigation , 2016, TST.

[6]  Jakub Montewka,et al.  A Risk-Informed Ship Collision Alert System: Framework and Application , 2015 .

[7]  Jakub Montewka,et al.  Probability modelling of vessel collisions , 2010, Reliab. Eng. Syst. Saf..

[8]  C. Hydén,et al.  Evaluation of traffic safety, based on micro-level behavioural data: theoretical framework and first implementation. , 2010, Accident; analysis and prevention.

[9]  Sethuraman N. Rao,et al.  Harnessing low-cost marine Internet for collision avoidance of vessels at sea , 2017, 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[10]  ManhCuong Nguyen,et al.  VIETNAM WATERWAY TRANSPORTATION RESEARCH AND RECOMMENDATION OF ARPA AND AIS USED IN COLLISIONS AVOIDANCE , 2017 .

[11]  Zhou Jiang-hua,et al.  Construction of the Collision Risk Factor Model , 2004 .

[12]  Hossein Mousazadeh,et al.  Developing a navigation, guidance and obstacle avoidance algorithm for an Unmanned Surface Vehicle (USV) by algorithms fusion , 2018, Ocean Engineering.

[13]  Ahmad C. Bukhari,et al.  An intelligent real-time multi-vessel collision risk assessment system from VTS view point based on fuzzy inference system , 2013, Expert Syst. Appl..

[14]  He Jincan,et al.  Based on ECDIS and AIS Ship Collision Avoidance Warning System Research , 2015, 2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA).

[15]  Rubo Zhang,et al.  Local reactive obstacle avoidance approach for high-speed unmanned surface vehicle , 2015 .

[16]  Laurie Goldsworthy,et al.  Modelling of ship engine exhaust emissions in ports and extensive coastal waters based on terrestrial AIS data - An Australian case study , 2015, Environ. Model. Softw..

[17]  Axel Hahn,et al.  Probabilistic Collision Avoidance for Vessels , 2015 .

[18]  Pengfei Chen,et al.  Quantitative analysis of COLREG rules and seamanship for autonomous collision avoidance at open sea , 2017 .

[19]  Dongkai Yang,et al.  A Novel Position Estimation Method Based on Displacement Correction in AIS , 2014, Sensors.

[20]  Huang Liwen The model of auto-preventing collision for ship based on AIS information and its simulation , 2007 .

[21]  Lily Rachmawati,et al.  Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology , 2016, IEEE Transactions on Intelligent Transportation Systems.

[22]  Jinjun Tang,et al.  A Systematic Approach for Collision Risk Analysis based on AIS Data , 2017, Journal of Navigation.

[23]  Michele Fiorini,et al.  AIS Data Visualization for Maritime Spatial Planning (MSP) , 2016 .

[24]  Xinping Yan,et al.  A distributed anti-collision decision support formulation in multi-ship encounter situations under COLREGs , 2015 .

[25]  Jiming Chen,et al.  AIS data based identification of systematic collision risk for maritime intelligent transport system , 2013, 2013 IEEE International Conference on Communications (ICC).

[26]  Jeom Kee Paik,et al.  Probabilistic approach for collision risk analysis of powered vessel with offshore platforms , 2018 .

[27]  Chih-Yung Cheng,et al.  Fuzzy Decision on Optimal Collision Avoidance Measures for Ships in Vessel Traffic Service , 2012 .

[28]  Dejun Chen,et al.  A research on AIS-based embedded system for ship collision avoidance , 2015, 2015 International Conference on Transportation Information and Safety (ICTIS).

[29]  Rafal Szlapczynski,et al.  Ship domain applied to determining distances for collision avoidance manoeuvres in give-way situations , 2018, Ocean Engineering.

[30]  Edmund Førland Brekke,et al.  AIS-based vessel trajectory prediction , 2017, 2017 20th International Conference on Information Fusion (Fusion).

[31]  Kazuhiko Hasegawa,et al.  Fuzzy Reasoned Waypoint Controller for Automatic Ship Guidance , 2016 .

[32]  Jiamin Guo,et al.  Deliberative collision avoidance for unmanned surface vehicle based on the directional weight , 2016 .

[33]  Wang Li,et al.  A real-time collision avoidance learning system for Unmanned Surface Vessels , 2016, Neurocomputing.