Article(id=1318999842773381717, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999663622079298, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2025.06.017, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1753459200000, receivedDateStr=2025-07-26, revisedDate=1760889600000, revisedDateStr=2025-10-20, acceptedDate=null, acceptedDateStr=null, onlineDate=1792403668348, onlineDateStr=2026-10-19, pubDate=1765296000000, pubDateStr=2025-12-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792403668348, onlineIssueDateStr=2026-10-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792403668348, creator=13701087609, updateTime=1792403668348, 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=132, endPage=139, ext={EN=ArticleExt(id=1318999842970514006, articleId=1318999842773381717, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Optimization Method for Freight Intermodal Transportation of High Speed Rail and Urban Rail Transit Based on Complex Networks, columnId=1153381654128218984, journalTitle=Urban Rapid Rail Transit, columnName=Operation Management, runingTitle=null, highlight=null, articleAbstract=

To address the need for efficient transportation of high-value-added and time-sensitive goods and resolve the challenge of selecting optimal freight paths within the complex urban rail transit networks of megacities, this study presents a comprehensive approach. First, a network simplification method is proposed to streamline the topological structure of urban rail systems by accounting for network complexity and uneven passenger flow distribution, thereby enhancing the computational efficiency of multimodal path optimization algorithms. Second, a path optimization model is developed with dual objectives of maximizing load rate and minimizing operational costs to balance cargo capacity utilization and economic feasibility. Finally, a hybrid algorithm integrating an improved ant colony optimization and particle swarm optimization is designed to solve the model, where particle swarm optimization optimizes the hyperparameters of the ant colony algorithm to accelerate convergence speed. Validated through a case study in Guangzhou, the methodology achieves significant performance improvements: network simplification reduces nodes by 76% and links by 69%, cutting algorithm runtime from 11,849 seconds to 1,613 seconds and boosting computational efficiency by 87.4%. The hybrid algorithm further reduces iterations from 46 to 15 while maintaining solution quality. Comparative analysis confirms the superiority of this approach in balancing computational speed, resource utilization, and path optimization effectiveness for urban rail freight systems.

, authors=Baojing HUANG¹, Cheng CHEN¹, Jiaoyuan WANG², authorsList=Baojing HUANG, Cheng CHEN, Jiaoyuan WANG, authorCompany=null, correspAuthors=Cheng CHEN, 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=1318999843209589335, articleId=1318999842773381717, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=基于复杂网络的城市轨道交通货物运输路径优化方法, columnId=1153381654287602537, journalTitle=都市快轨交通, columnName=运营管理, runingTitle=null, highlight=null, articleAbstract=

为满足高附加值、高时效货物快捷转运需要，解决超大城市内复杂网络情景下城市轨道交通货物运输最优路径选择的问题，考虑城市轨道交通网络复杂性和客流不均衡性特点，提出一种简化复杂网络拓扑结构的方法。构建考虑满载率和成本最小要求的路径优化模型，利用改进蚁群算法对模型进行求解，并结合粒子群算法优化蚁群算法的超参数，提升算法整体运行速度。以广州为例，通过网络简化算法，使拓扑网络节点简化率达到76%，连边简化率达到69%；将拓扑网络结构简化后，算法运行时间由11 849 s减少为1 613 s，运算效率提升87.4%；加入粒子群算法后，收敛速度明显加快，迭代次数由46次降低为15次。通过对比分析，本文提出的算法在有效性和优越性方面得到验证。

, authors=黄宝静¹, 陈诚¹, 王嘉源², authorsList=黄宝静, 陈诚, 王嘉源, authorCompany=null, correspAuthors=陈诚, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=1ZHjl9z2gDYgrw1vYDGF1A==, magXml=UQX7QBQotiBO33QjJzUeFA==, pdfUrl=null, pdf=IZ7k8Lp2A1o5pamFfxxXdQ==, pdfFileSize=3014689, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=gXe00O/A/yKdkPPKiOo72A==, mapNumber=null, fund=null)}, authors=[Author(id=1318999843578688095, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1318999842773381717, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=hbjtky123@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1318999843654185569, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1318999842773381717, authorId=1318999843578688095, language=EN, stringName=Baojing HUANG, firstName=Baojing, middleName=null, lastName=HUANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Transportation & Economics Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1318999843721294434, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1318999842773381717, authorId=1318999843578688095, language=CN, stringName=黄宝静, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.中国铁道科学研究院集团有限公司，北京　100081, bio={"content":"

黄宝静，男，硕士，高级工程师，主要从事轨道交通运输组织、快捷物流、货运场站数智等研究工作，hbjtky123@qq.com

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黄宝静，男，硕士，高级工程师，主要从事轨道交通运输组织、快捷物流、货运场站数智等研究工作，hbjtky123@qq.com

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