Mapping Two Decades of Autonomous Vehicle Research: A Systematic Scientometric Analysis
Autonomous vehicles (AV) have become a symbol of futuristic and intelligent transport innovation. This new driving technology has received heightened attention from academic, public, and private sectors. Nonetheless, a big challenge limiting a clear understanding of AV research is its scale. A large volume of literature is produced—covering various fields. This paper aims to map out the research on AV for a better understanding of the trends, patterns, and interconnections, and it critically reflects on their implications for research. A scientometric analysis technique is applied to analyze 4,645 papers published between 1998 and 2017. The findings disclose that (a) 87.7 percent of the AV studies was conducted by educational institutes; (b) Europe is the most productive continent in AV research with a 35.9 percent share of publications; (c) North America is the most influential continent in AV research, receiving 41.1 percent of the citations; (d) Over 50 percent of the studies were conducted during the last three years of the analysis period; (e) Urban and social contexts of AV research are still at their early stage; and (f) Relatively limited collaboration and knowledge sharing between academia and industry exist.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/25851022
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Supplemental Notes:
- © 2020 The Society of Urban Technology 2020. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Faisal, Asif
- Yigitcanlar, Tan
- Kamruzzaman, Md
- Paz, Alexander
- Publication Date: 2021-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 45-74
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Serial:
- Journal of Urban Technology
- Volume: 28
- Issue Number: 3-4
- Publisher: Routledge
- ISSN: 1063-0732
- EISSN: 1466-1853
- Serial URL: https://www.tandfonline.com/toc/cjut20/current
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Intelligent transportation systems; Metrics (Quantitative assessment); Research projects; Technological innovations
- Subject Areas: Highways; Research; Vehicles and Equipment;
Filing Info
- Accession Number: 01830670
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 20 2021 9:14AM