dc.contributor.author | Kondratovič, Vladislav, | |
dc.contributor.author | Čygas, Donatas, | |
dc.contributor.author | Palevičius, Vytautas, | |
dc.date.accessioned | 2023-12-22T07:07:14Z | |
dc.date.available | 2023-12-22T07:07:14Z | |
dc.date.issued | 2023. | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/xmlui/handle/123456789/153796 | |
dc.description.abstract | In 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. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-6. | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.title | An assessment of self-driving vehicles: road maintenance and infrastructure needs / | |
dc.type | Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | |
dcterms.accessRights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 29 | |
dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Aplinkos inžinerijos fakultetas / Faculty of Environmental Engineering | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.vgtuprioritizedfields | SD0202 - Aplinką tausojančios statybinės medžiagos ir technologijos / Low emissions building materials and technologies | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | road infrastructure | |
dc.subject.en | self-driving vehicles | |
dc.subject.en | transport infrastructure system | |
dc.subject.en | Kendall method | |
dc.subject.en | road maintenance | |
dcterms.sourcetitle | 12th International conference "Environmental Engineering", 27-28 April 2023, Vilnius Gediminas Technical University, Lithuania. | |
dc.publisher.name | Vilnius Gediminas Technical University | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 10.3846/enviro.2023.913 | |
dc.identifier.elaba | 181479998 | |