Autonomous vehicles: scientometric and bibliometric review

dc.creatorGandia, Rodrigo Marçal
dc.creatorAntonialli, Fabio
dc.creatorCavazza, Bruna Habib
dc.creatorMiranda Neto, Arthur
dc.creatorLima, Danilo Alves de
dc.creatorSugano, Joel Yutaka
dc.creatorNicolai, Isabelle
dc.creatorZambalde, Andre Luiz
dc.date.accessioned2019-03-12T12:38:57Z
dc.date.available2019-03-12T12:38:57Z
dc.date.issued2019
dc.description.abstractThis paper presents a scientometric and bibliometric review of the research on autonomous vehicles (AVs) to identify its main characteristics, evolution, and potential trends for future studies. Relevant articles were searched on WoS, yielding a research corpus of 10,580 papers, and the software CiteSpace was subsequently used for analysis. The results showed that AV research is heterogeneous and registered a growing demand over time. Multidisciplinarity is present, with 96 science fields being identified. As in any other sector, it is necessary to understand broader aspects of this industry such as the market factors surrounding it, as well as other economic and managerial issues. In this sense, we observed a migration of the research field from multidisciplinarity to pluridisciplinarity with a greater number of studies focusing on the latter. We understand that terminology standardisation contributes to achieving pluridisciplinarity. As such, it is important to highlight that sustainability, public policies, liability, and safety, as well as business issues such as performance and business models are some of the tendencies in the field of AVs. For future studies, we suggest a more in-depth analysis of publications in terms of individual search terms, as well as the sub-areas identified as trends in this paper.pt_BR
dc.description.provenanceSubmitted by Eliana Bernardes (eliana@biblioteca.ufla.br) on 2019-03-12T12:38:40Z No. of bitstreams: 0en
dc.description.provenanceApproved for entry into archive by Eliana Bernardes (eliana@biblioteca.ufla.br) on 2019-03-12T12:38:57Z (GMT) No. of bitstreams: 0en
dc.description.provenanceMade available in DSpace on 2019-03-12T12:38:57Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.citationGANDIA, R. M. et al. Autonomous vehicles: scientometric and bibliometric review. Transport Reviews, [S.l.], v. 39, n. 1, 2019.pt_BR
dc.identifier.urihttps://repositorio.ufla.br/handle/1/56621177
dc.identifier.urihttps://www.tandfonline.com/doi/abs/10.1080/01441647.2018.1518937?journalCode=ttrv20pt_BR
dc.languageen_USpt_BR
dc.publisherTaylor and Francis Onlinept_BR
dc.rightsrestrictAccesspt_BR
dc.sourceTransport Reviewspt_BR
dc.subjectAutonomous vehiclespt_BR
dc.subjectBibliometricspt_BR
dc.subjectScientometricspt_BR
dc.subjectReviewpt_BR
dc.subjectSoftware CiteSpacept_BR
dc.titleAutonomous vehicles: scientometric and bibliometric reviewpt_BR
dc.typeArtigopt_BR

Arquivos

Licença do pacote

Agora exibindo 1 - 1 de 1
Carregando...
Imagem de Miniatura
Nome:
license.txt
Tamanho:
953 B
Formato:
Item-specific license agreed upon to submission
Descrição: