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dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorKondratovič, Vladislav
dc.contributor.authorČygas, Donatas
dc.contributor.authorPalevičius, Vytautas
dc.date.accessioned2024-02-21T08:24:19Z
dc.date.available2024-02-21T08:24:19Z
dc.date.issued2023
dc.identifier.issn2029-7106en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/153901
dc.description.abstractIn the coming years, on the roads of the European Union countries, we will increasingly see self-driving vehicles (SDV), which will face considerable challenges on the roads. At first, SDVs will aim to adapt to the existing road infrastructure, but their increasing use on roads will make tangible influence on the progress of the components of the road infrastructure ecosystem. The following main trends in global car transport can be distinguished: artificial intelligence in SDV, various SDV digital and communication systems, SDV sharing platforms and other components of the SDV ecosystem. Although the benefits of using new autonomous technologies for transport have been widely explored, research on requirements for the physical infrastructure for the SDV traffic is still at an early stage. In this context, the emergence of new technologies calls for immediate action to adapt the existing transport infrastructure system to the evolving SDV industry. This paper examines the impact of SDVs on the physical road infrastructure in order to identify road infrastructure elements that influence the SDV traffic.en_US
dc.format.extent6 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.isreferencedbyScopusen_US
dc.relation.isreferencedbyConference Proceedings Citation Index - Social Science & Humanities (Web of Science)en_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/153866en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.source.urihttps://vilniustech.lt/international-conference-environmental-engineering/publications-of-the-conference-proceedings/363122en_US
dc.subjectroad infrastructureen_US
dc.subjectself-driving vehiclesen_US
dc.subjecttransport infrastructure systemen_US
dc.subjectKendall methoden_US
dc.subjectroad maintenanceen_US
dc.titleAn assessment of self-driving vehicles: road maintenance and infrastructure needsen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeSmart Cities, Roads and Railwaysen_US
dcterms.licenseCC BYen_US
dcterms.references29en_US
dc.description.versionTaip / Yesen_US
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DBen_US
dc.contributor.orcidhttps://orcid.org/0000-0002-8446-6785, Kondratovič Vladislav
dc.contributor.orcidhttps://orcid.org/0000-0001-5789-1981, Čygas Donatas
dc.contributor.orcidhttps://orcid.org/0000-0002-0331-2101, Palevičius Vytautas
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineeringen_US
dc.contributor.departmentKelių katedra / Department of Roadsen_US
dcterms.sourcetitle12th International Conference “Environmental Engineering” (ICEE-2023)en_US
dc.identifier.eisbn9786094763427en_US
dc.identifier.eissn2029-7092en_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.identifier.doihttps://doi.org/10.3846/enviro.2023.913en_US


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Kūrybinių bendrijų licencija / Creative Commons licence
Except where otherwise noted, this item's license is described as Kūrybinių bendrijų licencija / Creative Commons licence