文献类型：期刊文献

英文题名：Safety Risk Assessment Model and Simulation for High-density Ship Traffic

作者：Wang, Hongbo[1]

机构：[1]Guangdong Ocean Univ, Nav Coll, Zhanjiang 524088, Peoples R China

年份：2019

卷号：93

期号：sp1

起止页码：905

外文期刊名：JOURNAL OF COASTAL RESEARCH

收录：SCI-EXPANDED(收录号：WOS:000487997100131)、、Scopus(收录号：2-s2.0-85072659656)、WOS

语种：英文

外文关键词：ship to and from; traffic; density; safety risk; evaluation model; big data

外文摘要：In order to improve the ability of safety risk assessment with high traffic density of ships, safety risks are prone to safety risk assessment in order to improve the safety risk assessment ability of ships with high traffic density. A safety risk assessment model based on big data fusion analysis is proposed for ship traffic density. The big data fusion model of safety risk assessment when the traffic density of ships is high is constructed, and the fuzzy correlation detection method is used to model the characteristics and dispatch the safety evaluation data of ships with high traffic density. Combined with the block matching method, the automatic clustering processing of the safety evaluation data is realized when the traffic density of the ship is high, and the characteristic quantity of the association rules of the safety evaluation data is extracted when the traffic density of the ship is high. For the extracted feature quantity, big data fusion analysis method is used to deal with the fuzzy clustering treatment of safety evaluation when the traffic density of ships is high. When the data clustering center excavates the fuzzy directional characteristic quantity of the safety evaluation data when the traffic density of the ship is high, and the phase space reconstruction method is combined with the method of phase space reconstruction, the safety evaluation data are reorganized when the traffic density of the ship is high. The automatic evaluation and optimization of safety assessment is realized when the traffic density of ships is high. The simulation results show that the accuracy of safety risk assessment is high when the traffic density of ships is high, the data clustering performance is better, and the safety assessment ability is improved when the traffic density of ships is high.