Article(id=1240655138080223458, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655131507740845, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-4653.2025.03.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1726502400000, receivedDateStr=2024-09-17, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773724835176, onlineDateStr=2026-03-17, pubDate=1758729600000, pubDateStr=2025-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773724835176, onlineIssueDateStr=2026-03-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773724835176, creator=13701087609, updateTime=1773724835176, updator=13701087609, issue=Issue{id=1240655131507740845, tenantId=1146029695717560320, journalId=1240618002186551303, year='2025', volume='48', issue='3', pageStart='1', pageEnd='184', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773724833608, creator=13701087609, updateTime=1773725188865, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240656621609742880, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655131507740845, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240656621613937185, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655131507740845, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=65, endPage=72, ext={EN=ArticleExt(id=1240655138306715889, articleId=1240655138080223458, tenantId=1146029695717560320, journalId=1240618002186551303, language=EN, title=Research on ship route optimization method for complex intersecting waters based on AIS data, columnId=1240655017900823355, journalTitle=Navigation of China, columnName=Marine Traffic Safety, runingTitle=null, highlight=null, articleAbstract=

Complex intersection waters, characterized by heavy ship traffic and frequent route crossings, exhibit complex traffic dynamics and a high risk of collisions, making route optimization in such areas highly important. Traditional route optimization methods tend to focus more on the formulation of traffic rules and traffic control measures. While effective, these approaches often rely on the subjective experience of maritime managers and lack an objective basis. To address these limitations, this paper proposes a route optimization method based on historical ship trajectory data. The ship traffic network is extracted through trajectory clustering and image processing techniques. A node similarity model is constructed, and a clustering algorithm is applied to partition the overall network into multiple local traffic networks. Route optimization is then achieved by merging nodes and reconstructing the network within each community. Experimental results demonstrate that the proposed method reduces the complexity of ship traffic by 50% and the risk of ship collisions by 30% compared to pre-optimized conditions. These improvements significantly enhance navigation safety, alleviate the regulatory burden on maritime authorities, and provide valuable insights for the planning of ship routing systems.

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复杂交汇水域内船舶流量大、航路交汇频繁导致水域交通态势复杂以及船舶碰撞风险较高，对这类水域进行船舶航路优化具有重要意义。传统航路优化方法更多侧重交通规则制定和交通控制，虽有一定成效但大多依赖海事管理人员的主观经验，缺乏客观依据。针对这类问题，提出一种基于历史船舶轨迹数据的航路优化方法。通过轨迹聚类和图像处理等方法提取船舶交通网络，构建节点相似度模型运用聚类算法将整个网络划分为多个局部交通网络，对各网络社区通过合并节点以及网络重构实现水域船舶航路优化。试验结果表明：相较于优化前的水域状况，该航路优化方法使水域船舶交通复杂度下降50%的同时船舶碰撞风险降低30%，大幅提升船舶航行安全以及降低海事部门水域监管压力，其优化结果可为船舶定线制规划提供参考。

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卢俊璋（1996—），男，工程师，硕士，研究方向为海上AIS大数据挖掘。E-mail: 1194743619@qq.com

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卢俊璋（1996—），男，工程师，硕士，研究方向为海上AIS大数据挖掘。E-mail: 1194743619@qq.com

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