Article(id=1240656100752683152, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240656096998773667, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-4653.2025.01.011, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1704729600000, receivedDateStr=2024-01-09, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773725064694, onlineDateStr=2026-03-17, pubDate=1742832000000, pubDateStr=2025-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773725064694, onlineIssueDateStr=2026-03-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773725064694, creator=13701087609, updateTime=1773725064694, updator=13701087609, issue=Issue{id=1240656096998773667, tenantId=1146029695717560320, journalId=1240618002186551303, year='2025', volume='48', issue='1', pageStart='1', pageEnd='198', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773725063800, creator=13701087609, updateTime=1773725118083, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240656324749480238, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240656096998773667, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240656324749480239, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240656096998773667, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=84, endPage=92, ext={EN=ArticleExt(id=1240656102396850339, articleId=1240656100752683152, tenantId=1146029695717560320, journalId=1240618002186551303, language=EN, title=Optimization of joint scheduling of multiple fleets considering the heterogeneity of operation modes under the port collection and distribution system, columnId=1240655021705065434, journalTitle=Navigation of China, columnName=Port and Waterway Engineering, runingTitle=null, highlight=null, articleAbstract=

In a road transport port collection-distribution system involving container trucks and a drayage fleet, it is necessary to conduct joint scheduling of trucks, tractors, and semi-trailers to achieve coordinated optimization of transport structure and routing simultaneously. This paper proposes a joint scheduling optimization model for multi-fleet combined transport, formulated as a mixed integer programming model. A simulated annealing algorithm based on heuristic rules is designed to solve the proposed problem. The impacts of different transport demands on the total transport cost and the number of workable vehicles under different freight modes are explored. Results show that, compared with the single freight mode, the multi-fleet combined freight mode demonstrates significant advantages in effectively reducing transport costs by 13.3% for tasks uniformly distributed in the freight network. Additionally, by optimizing the allocation of its own vehicle resources, the multi-fleet combined transport mode can mitigate the influence of fixed cost weight coefficient changes and transport demand compactness on the total transport cost.

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在包含甩箱与甩挂两类作业模式存在异构性车队的公路港口集疏运体系内，需要开展集卡和甩挂车辆的联合调度，以实现运输结构与路径协同优化。提出考虑作业模式异构性的多车队联合调度混合整数规划模型，设计基于启发式规则的模拟退火算法进行求解，探讨不同运输需求特征对特定模式下运输总成本和作业车辆数的影响。结果显示，相较于单一集卡甩箱模式和单一甩挂货运模式，采用多车队组合模式在需求节点均匀分布的网络中执行任务，降低运输成本幅度约13.3%。此外，通过优化车队资源配置结构，多车队组合模式可减弱固变成本权重系数变化和运输需求紧凑度对总运输成本的影响。

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^2.College of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1240656103978103016, tenantId=1146029695717560320, journalId=1240618002186551303, articleId=1240656100752683152, authorId=1240656103776776413, language=CN, stringName=徐奇, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1． 广西智慧交通重点实验室，广西 桂林 541004
^2． 桂林电子科技大学 建筑与交通工程学院，广西 桂林 541004, bio={"content":"

徐奇（1984—），女，博士，副教授，研究方向为港航物流系统优化。E-mail: xuqi@guet.edu.cn

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徐奇（1984—），女，博士，副教授，研究方向为港航物流系统优化。E-mail: xuqi@guet.edu.cn

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