Article(id=1318999878861181291, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999663622079298, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2025.06.012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1737388800000, receivedDateStr=2025-01-21, revisedDate=1753977600000, revisedDateStr=2025-08-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1792403676952, onlineDateStr=2026-10-19, pubDate=1765296000000, pubDateStr=2025-12-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792403676952, onlineIssueDateStr=2026-10-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792403676952, creator=13701087609, updateTime=1792403676952, updator=13701087609, issue=Issue{id=1318999663622079298, tenantId=1146029695717560320, journalId=1146123302524792850, year='2025', volume='38', issue='6', pageStart='1', pageEnd='147', issueExtLink='null', onlineDate='null', pubDate='1765296000000', pubDateStr='2025-12-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792403625636, creator='13701087609', updateTime=1792733312669, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1320382471334646693, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999663622079298, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1320382471334646694, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999663622079298, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=92, endPage=97, ext={EN=ArticleExt(id=1318999879049924972, articleId=1318999878861181291, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Design and Implementation of Adaptive 3D Scene Roaming Technology for Rail Transit Engineering, columnId=1152669334582243706, journalTitle=Urban Rapid Rail Transit, columnName=Electrical and Mechanical Engineering, runingTitle=null, highlight=null, articleAbstract=

In response to the problems of complex interaction, poor path planning, and untimely information display in traditional roaming methods in the three-dimensional scenarios of rail transit engineering, an adaptive roaming method is proposed to solve the pain points of three-dimensional scene visualization and engineering information display and communication. By integrating long-line, large-scale, and multi-source heterogeneous data generated during rail transit informatization, building information modeling (BIM) and geographic information system (GIS) data fusion technology is used to build high-precision three-dimensional scenarios. Automatically plan to generate the optimal roaming path based on line geometric features and interest point distribution; combined with key technologies such as camera attitude dynamic control, roaming interest point capture, and information synchronization display, smooth transition of perspective and real-time presentation of key information are achieved. The technology is applied to the information construction process of one national railway and five intercity railways in Shenzhen, forming a rail transit BIM+GIS roaming system, providing an efficient and interactive three-dimensional visualization solution for rail transit project management, application display and communication.

, authors=Huiyi ZHANG, Kan ZHOU, Bo WANG, Huahui LAI, authorsList=Huiyi ZHANG, Kan ZHOU, Bo WANG, Huahui LAI, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1318999879263834477, articleId=1318999878861181291, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=轨道交通工程三维场景自适应漫游技术设计与实现, columnId=1152669334955536763, journalTitle=都市快轨交通, columnName=机电工程, runingTitle=null, highlight=null, articleAbstract=

针对轨道交通工程三维场景中传统漫游方法存在的交互复杂、路径规划不智能、信息展示不及时等问题，提出一种自适应漫游方法，解决三维场景可视化及工程信息展示与沟通的痛点。通过整合轨道交通信息化过程中产生的长线路、大体量、多源异构数据，采用建筑信息模型（BIM）与地理信息系统（GIS）数据融合技术构建高精度三维场景。基于线路几何特征与兴趣点分布自动规划生成最优漫游路径；结合相机姿态动态控制、漫游兴趣点捕捉、信息同步展示等关键技术，实现视角平滑过渡与关键信息实时呈现。该技术应用于深圳1条国家铁路和5条城际铁路的信息化建设，形成轨道交通BIM+GIS漫游系统，为轨道交通项目管理、应用展示与沟通提供高效且交互性良好的三维可视化解决方案。

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张慧怡，女，本科，工程师，主要从事交通运输规划、BIM技术应用等研究，759597365@qq.com

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