Methodology for Implementing Autonomous Vehicles Using Virtual Tracks

dc.contributor.authorSkokan, Adamcs
dc.contributor.authorŠímová, Luciecs
dc.contributor.authorKřehlík, Štěpáncs
dc.coverage.issue12cs
dc.coverage.volume16cs
dc.date.issued2025-11-28cs
dc.description.abstractThis document deals with the implementation of virtual tracks as an innovative element for autonomous vehicle navigation. A virtual track improves the driving accuracy, safety, and efficiency of autonomous vehicle operation in various environments. The methodology provides a theoretical framework; analyzes legislative (Czech and EU legal framework) and technical aspects, as well as traffic psychological aspects; defines infrastructure requirements; and describes implementation procedures. It also assesses the impact of technology on the existing transport infrastructure. The outputs of the methodology serve autonomous vehicle operators, municipalities, and legislative authorities as a key tool for planning and implementing autonomous systems. The document contributes to the development of intelligent mobility and the future integration of autonomous vehicles into mainstream traffic.en
dc.description.abstractThis document deals with the implementation of virtual tracks as an innovative element for autonomous vehicle navigation. A virtual track improves the driving accuracy, safety, and efficiency of autonomous vehicle operation in various environments. The methodology provides a theoretical framework; analyzes legislative (Czech and EU legal framework) and technical aspects, as well as traffic psychological aspects; defines infrastructure requirements; and describes implementation procedures. It also assesses the impact of technology on the existing transport infrastructure. The outputs of the methodology serve autonomous vehicle operators, municipalities, and legislative authorities as a key tool for planning and implementing autonomous systems. The document contributes to the development of intelligent mobility and the future integration of autonomous vehicles into mainstream traffic.en
dc.formattextcs
dc.format.extent1-32cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationWorld Electric Vehicle Journal. 2025, vol. 16, issue 12, p. 1-32.en
dc.identifier.doi10.3390/wevj16120651cs
dc.identifier.issn2032-6653cs
dc.identifier.orcid0000-0001-5328-3735cs
dc.identifier.other199747cs
dc.identifier.researcheridAAQ-1958-2020cs
dc.identifier.scopus57193003993cs
dc.identifier.urihttp://hdl.handle.net/11012/255778
dc.language.isoencs
dc.relation.ispartofWorld Electric Vehicle Journalcs
dc.relation.urihttps://www.mdpi.com/2032-6653/16/12/651cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2032-6653/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectautonomous vehiclesen
dc.subjectvirtual tracken
dc.subjectintelligent transportation systemsen
dc.subjecttransport infrastructureen
dc.subjectlegislative frameworken
dc.subjecttraffic psychological aspectsen
dc.subjectautonomous vehicles
dc.subjectvirtual track
dc.subjectintelligent transportation systems
dc.subjecttransport infrastructure
dc.subjectlegislative framework
dc.subjecttraffic psychological aspects
dc.titleMethodology for Implementing Autonomous Vehicles Using Virtual Tracksen
dc.title.alternativeMethodology for Implementing Autonomous Vehicles Using Virtual Tracksen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-199747en
sync.item.dbtypeVAVen
sync.item.insts2026.01.12 16:53:45en
sync.item.modts2026.01.12 16:32:32en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav matematikycs
thesis.grantorVysoké učení technické v Brně. . Centrum dopravního výzkumucs

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