UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404H59


Registration ID:
555853

Page Number

q484-q499

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Title

''A Biblioshiny Analysis of Research Trend and Innovations inAutonomous Vehicle Technology''

Abstract

Abstract Since its initial proposal in 1918, the idea of autonomous vehicles (AVs) has gained significant attention due to its potential to transform transportation through increased efficiency, safety, and mobility. AVs research hasn't been systematically analyzed, though. Data were gathered from 625 legitimate documents from WoS and bibliometric analysis was performed using Biblioshiny visualization program and Scopus database, from 1986-2024. The results says that there was no growth on research till 2015, but it started getting momentum in 2016 till 2022 and the reasons for lack in research were technology limitation, lack of data, high cost, regulatory and legal challenges, Public acceptance, limited govt and private funding etc. The largest country collaboration found between USA with Bangladesh and Canada. Further, the top most 5 cited countries in terms of research are UK, USA, China, Germany, Spain, Netherland. As per three-field plot China has the highest thickness, followed by Korea and USA connecting to authors belong to China (majority) and in terms of keyword Autonomous vehicle has the most thickness. The highest number of documents published in the “Journal of advanced transformation” with 125 number of documents, followed by “Transportation research Part A: policy and practice”. There are only 5 major productive journals which consist of 216 articles (35% of the all articles). The Trending topics of 2024 are “Model predictive control” and “Artificial intelligence technologies”. The highest co-occurred (occurring simultaneously in different papers) terms in Network and Overlay mode is “Autonomous vehicle” is making a network with its own Group and other groups as well. The historical development, and trends in AVs research are revealed in this study, which helps researchers gain a thorough grasp of the topic and provide a more objective and scientific foundation for future quantitative research.

Key Words

Keywords-Autonomous vehicles; Bibliometric analysis; Biblioshiny; R-Square; Quantitative research.

Cite This Article

"''A Biblioshiny Analysis of Research Trend and Innovations inAutonomous Vehicle Technology''", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.q484-q499, April-2024, Available :http://www.jetir.org/papers/JETIR2404H59.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"''A Biblioshiny Analysis of Research Trend and Innovations inAutonomous Vehicle Technology''", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppq484-q499, April-2024, Available at : http://www.jetir.org/papers/JETIR2404H59.pdf

Publication Details

Published Paper ID: JETIR2404H59
Registration ID: 555853
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier): https://doi.org/10.56975/jetir.v11i4.555853
Page No: q484-q499
Country: Dehli, Dehli, India .
Area: Commerce
ISSN Number: 2349-5162
Publisher: IJ Publication


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