Current Hotspots of Smart Transportation Research Under the Background of Big Data: Visual Analysis Based on CiteSpace
In the context of the rapid development of cloud computing and big data, many daily activities are associated with big data. Therefore, for smart transportation as the main subject of inquiry, we used Citespace knowledge mapping software to visualize and analyze 500 pieces of literature published in...
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Published in | Proceedings of ... IEEE International Conference on Cloud Computing and Big Data Analysis (Online) pp. 263 - 268 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
25.04.2024
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Subjects | |
Online Access | Get full text |
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Summary: | In the context of the rapid development of cloud computing and big data, many daily activities are associated with big data. Therefore, for smart transportation as the main subject of inquiry, we used Citespace knowledge mapping software to visualize and analyze 500 pieces of literature published in Web of Science over the past ten years. Through the research of the country, the publishing institution, the core authors, and the keyword clustering analysis method, the research hotspots of smart transportation were analyzed. This study shows that the existing hotspots of smart transportation research can be mainly summarized into five categories: smart transportation, parallel smart transportation, demand-responsive transit system, comprehensive review, and electric vehicles algorithm. In future research, we can enrich the research literature on smart transportation from the aspects of smart transportation technology support and smart transportation use scenarios. |
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ISSN: | 2832-3734 |
DOI: | 10.1109/ICCCBDA61447.2024.10569886 |