Research on the Siting of Mother Stations for Dual-Purpose Mobile Charging Robots on Highways

Research on the Siting of Mother Stations for Dual-Purpose Mobile Charging Robots on Highways | 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 the Siting of Mother Stations for Dual-Purpose Mobile Charging Robots on Highways Hao Jiang, Hailing Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8465872/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 To address the growing prominence of emergency charging rescue demands for electric vehicles on highways, as well as the issues of insufficient coverage from traditional fixed charging piles and inadequate emergency service capabilities, this paper proposes a methodology based on a System Three-Stage Dynamic Location-Allocation Problem (STSDLAP) for a dual-purpose (routine and emergency) mobile charging robot mother station system. First, Monte Carlo simulation is employed to predict the spatiotemporal distribution of both routine and emergency charging demands. Second, service capacity is evaluated based on non-preemptive priority M/M/C queuing theory to quantify waiting times and system load rates. Finally, an optimization model aiming to minimize cost and maximize coverage, while incorporating constraints on waiting time and load rate, is constructed and solved using the NSGA-II algorithm. Empirical results demonstrate that this solution can achieve emergency response within 30 minutes and meet over 95% of total charging demand on a 1000-kilometer highway section. Compared with traditional fixed charging pile solutions, it not only ensures daily service provision but also significantly enhances emergency handling efficiency. This study provides a reference for the flexible deployment of highway charging infrastructure and cost-effective emergency management. Physical sciences/Energy science and technology Physical sciences/Engineering Physical sciences/Mathematics and computing Transportation Planning Mobile Charging Robots Facility Location Optimization System Three-Stage Dynamic Location-Allocation Problem (STSDLAP) Dual-Use (Routine & Emergency) 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-8465872","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":614934624,"identity":"9dc2417c-ebc7-4aa4-9f48-1beb9ebc3431","order_by":0,"name":"Hao Jiang","email":"","orcid":"","institution":"Xinjiang University","correspondingAuthor":false,"prefix":"","firstName":"Hao","middleName":"","lastName":"Jiang","suffix":""},{"id":614934625,"identity":"6b581ae5-87a2-47f8-9aea-bd6f26c1b443","order_by":1,"name":"Hailing Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9ElEQVRIiWNgGAWjYBACgwOMjQcSIGzGBww8IDqBoJYGmBZmAyK1MDAcgLLZJCA0IS3HDzcceLijNrF/dvu1ah6Zwwz87DkGDD934NZifyax4UDimeOJM+6cKbs5g+cwg2TPGwPG3jP4HAbS0nYst+FGTtqND0AtBjdyDJgZ2/BoOf8QomU+UEtBAlCLPUEtN8C21ORuuJF+jAFsiwRBLWBbDtRvvJHDLDmDJ51H4syzgoO9eB2W/vDhz7Y6Y7kb6Q8/8/ZYy/G3J2988BOPFig4DMQ8BgyMPZDIPEBQAwNDHRCzP2Bg+EGE2lEwCkbBKBhxAAAlIWIjNETFEwAAAABJRU5ErkJggg==","orcid":"","institution":"Xinjiang University","correspondingAuthor":true,"prefix":"","firstName":"Hailing","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2025-12-28 13:08:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8465872/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8465872/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106751399,"identity":"851be4a0-d83f-4d16-bc64-7fa25b25eec1","added_by":"auto","created_at":"2026-04-13 06:58:44","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":960926,"visible":true,"origin":"","legend":"","description":"","filename":"ResearchontheSitingofMotherStationsforDualPurposeMobileChargingRobotsonHighways.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8465872/v1_covered_78a25fb1-f643-4def-87b9-d8d5f25dd6da.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on the Siting of Mother Stations for Dual-Purpose Mobile Charging Robots on Highways","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":"Transportation Planning, Mobile Charging Robots, Facility Location Optimization, System Three-Stage Dynamic Location-Allocation Problem (STSDLAP), Dual-Use (Routine \u0026 Emergency)","lastPublishedDoi":"10.21203/rs.3.rs-8465872/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8465872/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTo address the growing prominence of emergency charging rescue demands for electric vehicles on highways, as well as the issues of insufficient coverage from traditional fixed charging piles and inadequate emergency service capabilities, this paper proposes a methodology based on a System Three-Stage Dynamic Location-Allocation Problem (STSDLAP) for a dual-purpose (routine and emergency) mobile charging robot mother station system. 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