| 智能船舶的研究现状可视化分析与发展趋势 |
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| 引用本文： | 张笛,赵银祥,崔一帆,万程鹏. 智能船舶的研究现状可视化分析与发展趋势[J]. 交通信息与安全, 2021, 39(1): 7-16,34. DOI: 10.3963/j.jssn.1674-4861.2021.01.002 |
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| 作者姓名： | 张笛 赵银祥 崔一帆 万程鹏 |
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| 作者单位： | 1.武汉理工大学智能交通系统研究中心 武汉 430063 |
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| 基金项目： | 工信部绿色智能内河船舶创新专项资助;国家重点研发计划项目;湖北省自然科学基金项目;国家自然科学基金重点国际(地区)合作研究项目 |
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| 摘 要： | 为了更好地把握智能船舶研究领域的前沿问题及发展现状,针对智能船舶领域相关主题,基于中国知网(CNKI)和Web of Science数据库中2010—2020年的文献检索结果,运用知识图谱从计量统计的角度从时间、作者、机构以及关键词4个方面系统地呈现了智能船舶领域发展的趋势、前沿和热点.在此基础上,从智能船舶的态势感知...
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| 关 键 词： | 交通工程 智能船舶 航行安全 知识图谱 热点分析 |
| 收稿时间： | 2020-05-23 |
A Visualization Analysis and Development Trend of Intelligent Ship Studies |
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| ZHANG Di,ZHAO Yinxiang,CUI Yifan,WAN Chengpeng. A Visualization Analysis and Development Trend of Intelligent Ship Studies[J]. Journal of Transport Information and Safety, 2021, 39(1): 7-16,34. DOI: 10.3963/j.jssn.1674-4861.2021.01.002 |
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| Authors: | ZHANG Di ZHAO Yinxiang CUI Yifan WAN Chengpeng |
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| Affiliation: | 1.Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China2.National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China3.School of Navigation, Wuhan University of Technology, Wuhan 430063, China |
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| Abstract: | This paper conducts a comprehensive literature review of intelligent ship based on the studies published on the China Knowledge Network (CNKI) and Web of Science databases to investigate the status quo and the cutting, edge issues in development of intelligent ship.The knowledge graphs are used to systematically present the trends, frontiers, and hot spots in intelligent ship from time, author, institution, and keywords.On this basis, the research trends and hot issues of intelligent ship are analyzed from intelligent situational awareness, collision avoidance, intelligent control, network communication, and the rule of law study. Besides, three key research directions are proposed, including human, machine integration and decision, making technology for intelligent ship, risks of formation navigation, and risk evaluation of mixing navigation of traditional/intelligent ships. The results show that since 2015, published papers related to intelligent ship have increased more rapidly than which between 2010 and 2014, with an average growth rate of 58%(more than 14 articles per year). Key research institutions in China contributing the most to this field include Wuhan University of Technology, Dalian Maritime University, and Shanghai Jiaotong University. Major foreign research institutions include Norwegian University of Science and Technology and Delft University of Technology. Research hotspots in intelligent ship refer to situational awareness, intelligent collision avoidance, intelligent control, network communication security, and legal security. |
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