Reliable Vehicle Platooning via Redundant 5G Link Aggregation in Smart Roads

Reliable Vehicle Platooning via Redundant 5G Link Aggregation in Smart Roads | 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 Research Article Reliable Vehicle Platooning via Redundant 5G Link Aggregation in Smart Roads Tongwei Tu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6565610/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 Vehicle platooning has gained attention due to its potential to improve traffic flow and reduce congestion. However, ensuring reliable communication among vehicles in a platoon presents significant challenges, particularly in dynamic environments where connectivity is essential. This study introduces a framework that leverages redundant 5G link aggregation to enhance communication reliability in smart roads. Our approach integrates multiple 5G connections, allowing the system to maintain continuous data exchange even if a link fails. Through a multi-layered communication strategy, the framework dynamically chooses the optimal link based on real-time network conditions. The results from extensive simulations reveal that this method considerably boosts robustness against communication outages and reduces latency, leading to improved performance metrics for vehicle platooning. This work represents a crucial advancement toward achieving reliable autonomous vehicle coordination, ultimately contributing to the development of safer and more efficient transportation networks. Computer Architecture and Engineering 5G Connections Real-Time Adaptation Vehicle Platooning Full Text Additional Declarations The authors declare no competing interests. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-6565610","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":450313203,"identity":"fc91a52a-0f95-40d9-9c10-7d11f75791d1","order_by":0,"name":"Tongwei Tu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5ElEQVRIiWNgGAWjYLCCBAYJOXmGwweATAkZgqp52MBaLIwNG48lgLTwEKeFgaEiseHwGQOwAEEt9vI9hg8eMEgwNrad+fzqRo0FDwP74aMb8NvCY2wA9AszO8/ZbdY5x4AO40lLu4FfC+82CaAWNsYZZ7cZ57ABtUjwmBHSsv1HAsjX9988M875R5yWbaBAlmA4cIb5cW4bMVqO5X+WSDCQMDBsOGbGnNsnAfQcAb+wNx9L/Pijoq5+PsPhx59zvtXJ8bMfPoZXCwSAY4SBTQJMElaOAMwfSFE9CkbBKBgFIwcAAHgWQg6+jz8fAAAAAElFTkSuQmCC","orcid":"","institution":"Embry-Riddle Aeronautical University","correspondingAuthor":true,"prefix":"","firstName":"Tongwei","middleName":"","lastName":"Tu","suffix":""}],"badges":[],"createdAt":"2025-04-30 13:58:30","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6565610/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6565610/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":81825050,"identity":"1ffe39a1-778b-435f-9246-237202fa2d5f","added_by":"auto","created_at":"2025-05-02 12:21:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":482921,"visible":true,"origin":"","legend":"","description":"","filename":"8d0bef0b26394c738c4d566270a55919.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6565610/v1_covered_624b0a37-cc8d-42ef-b368-4bfd277f9aff.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eReliable Vehicle Platooning via Redundant 5G Link Aggregation in Smart Roads\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Embry-Riddle Aeronautical University","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":"5G Connections, Real-Time Adaptation, Vehicle Platooning","lastPublishedDoi":"10.21203/rs.3.rs-6565610/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6565610/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eVehicle platooning has gained attention due to its potential to improve traffic flow and reduce congestion. However, ensuring reliable communication among vehicles in a platoon presents significant challenges, particularly in dynamic environments where connectivity is essential. This study introduces a framework that leverages redundant 5G link aggregation to enhance communication reliability in smart roads. Our approach integrates multiple 5G connections, allowing the system to maintain continuous data exchange even if a link fails. Through a multi-layered communication strategy, the framework dynamically chooses the optimal link based on real-time network conditions. The results from extensive simulations reveal that this method considerably boosts robustness against communication outages and reduces latency, leading to improved performance metrics for vehicle platooning. This work represents a crucial advancement toward achieving reliable autonomous vehicle coordination, ultimately contributing to the development of safer and more efficient transportation networks.\u003c/p\u003e","manuscriptTitle":"Reliable Vehicle Platooning via Redundant 5G Link Aggregation in Smart Roads","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-02 12:13:25","doi":"10.21203/rs.3.rs-6565610/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"b4310097-cade-4d84-9eb4-aa867dd7ec2d","owner":[],"postedDate":"May 2nd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":47919652,"name":"Computer Architecture and Engineering"}],"tags":[],"updatedAt":"2025-05-02T12:13:26+00:00","versionOfRecord":[],"versionCreatedAt":"2025-05-02 12:13:25","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6565610","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6565610","identity":"rs-6565610","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}