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dc.contributor.authorSkrickij, Viktor
dc.contributor.authorŠabanovič, Eldar
dc.contributor.authorŽuraulis, Vidas
dc.date.accessioned2023-09-18T20:02:36Z
dc.date.available2023-09-18T20:02:36Z
dc.date.issued2020
dc.identifier.issn1751-956X
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/146088
dc.description.abstractThe automotive industry is currently facing an automated driving revolution. This technology is tightly linked to societal and economic challenges: minimisation of traffic accidents, fuel consumption, traffic congestion, parking demand, and providing mobility for an ageing population, as well as to customer needs toward more personalised services. This study aims at the analysis and presentation of the current state of the art and prospects of automated vehicles (AVs) from various perspectives. This study concentrates on revision of the critical technologies, estimation of the impact on social aspects, identification of legal issues, consideration of factors in commercial success through user acceptance, and foresight carried out by other researchers. The primary material was prepared by review and analysis of research papers, standards, regulations, roadmaps, and projects in the field of AVs technology and its implementation worldwide. A SWOT analysis was performed, and it was found that for rapid AV spread, technological solutions need to be made taking into account law and regulation; user acceptance and human–robot interaction need to be solved together as part of one system.eng
dc.formatPDF
dc.format.extentp. 471-479
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://doi.org/10.1049/iet-its.2018.5513
dc.titleAutonomous road vehicles: recent issues and expectations
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references92
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyTransporto inžinerijos fakultetas / Faculty of Transport Engineering
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.vgtuprioritizedfieldsTD0101 - Autonominis sausumos ir oro transportas / Autonomous land and air transport
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enroad vehicles
dc.subject.enautomobile industry
dc.subject.enroad traffic
dc.subject.enmobile robots
dc.subject.enlaw
dc.subject.enposition control
dc.subject.enhuman-robot interaction
dcterms.sourcetitleIET Intelligent Transport Systems
dc.description.issueiss. 6
dc.description.volumevol. 14
dc.publisher.nameThe Institution of Engineering and Technology
dc.publisher.cityHertford
dc.identifier.doi000537848600002
dc.identifier.doi10.1049/iet-its.2018.5513
dc.identifier.elaba59227457


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