Research on Calculation and Optimization of Transportation Capacity of High-speed Railway Network

Research on Calculation and Optimization of Transportation Capacity of High-speed Railway Network | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Research on Calculation and Optimization of Transportation Capacity of High-speed Railway Network LUKUN BAO This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7261891/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract High-Speed Railway Network (HSRN) capacity is affected by numerous factors and they are widely distributed in time and space, and these factors have strong coupling effects, which makes the HSRN capacity extremely complex. This paper analyzed the influencing factors of each type of transportation capacity from the perspectives of station, line and network firstly. Based on the analysis of factors affecting the capacity of HSRN, we proposed the generation mechanism, definition, system structure and corresponding evaluation indicators of HSRN capacity. Finally, we proposed the optimization methods from three aspects: infrastructure utilization, rolling stock utilization, and transportation organization plan. The results show that the capacity of HSRN is not fixed and are greatly affected by the organization plan. And it can be divided into four categories: theoretical maximum capacity, theoretical available capacity, effective capacity, and actual used capacity. The physical meanings and evaluation indicators for each category of capacity are proposed accordingly. Secondly, a conceptual model for calculating the effective capacity of HSRN was designed based on network mapping. This research provides theoretical support for the optimization of the capacity of HSRN. Physical sciences/Energy science and technology Physical sciences/Engineering Physical sciences/Mathematics and computing Capacity Conceptual Model Generation Mechanism High-Speed Railway Network (HSRN) Network Operation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7261891","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":508071068,"identity":"f92a628b-ff84-45e2-885a-2f378f127a45","order_by":0,"name":"LUKUN BAO","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVRIiWNgGAWjYBACAwYGxgMMBxgY+IGcAw+I1MIA1iLZAGQkkKTFAIgZiNJizn74wGGeM4fzjG8ffngg4Q+DvDkhLZY9aQmHeW4cLjY7l2ZwILGNwXBnAyGHHcgxOMzz4XDitjNAdmIDQwLYhXi1nH8D0bK5h/0DyGFEaLkBsuXG4cQNPDwGBxLYiNBiOeNZwsE5Z9ITZ5zhKQD6RcJwAyEt5vzJBx+8OWad2N/DvvnDhz828gRtQQcSJKofBaNgFIyCUYAVAAC4vE0R0UV6KgAAAABJRU5ErkJggg==","orcid":"","institution":"China Academy of Railway Sciences","correspondingAuthor":true,"prefix":"","firstName":"LUKUN","middleName":"","lastName":"BAO","suffix":""}],"badges":[],"createdAt":"2025-07-31 11:53:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7261891/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7261891/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":100258320,"identity":"f836a8d9-15b6-4c42-8284-966cd269f839","added_by":"auto","created_at":"2026-01-14 16:24:00","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":521209,"visible":true,"origin":"","legend":"","description":"","filename":"ResearchonCalandOptofTranCapyofHSRN0807.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7261891/v1_covered_28229c35-2baa-4486-a6cb-fc6fb784227f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on Calculation and Optimization of Transportation Capacity of High-speed Railway Network","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Capacity, Conceptual Model, Generation Mechanism, High-Speed Railway Network (HSRN), Network Operation","lastPublishedDoi":"10.21203/rs.3.rs-7261891/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7261891/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eHigh-Speed Railway Network (HSRN) capacity is affected by numerous factors and they are widely distributed in time and space, and these factors have strong coupling effects, which makes the HSRN capacity extremely complex. 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