Bibliometric Analysis on the Safety of Autonomous Vehicles with Artificial Intelligence

Bibliometric Analysis on the Safety of Autonomous Vehicles with Artificial Intelligence

연구 분야: Verification

학회: International Conference on Human-Computer Interaction

The objective of the study was to look at the trend and advancement of Artificial Intelligence, Transportation, and Safety research through bibliometric analysis. The review retrieved data in Web of Science using specific terms related to Artificial Intelligence, Transportation, and Safety. VOSViewer, CiteSpace, and MAXQDA were utilized to conduct the citation analysis and content analysis of the Web of Science data set and 8 selected documents including 6 research articles and 2 chapters from the textbook Occupational Safety and Health for Technologists, Engineers, and Managers. Articles from GoogleScholar using Harzing’s Publish or Perish software and Web of Science database were used. The citation analysis creating a co-occurrence map discovered several keywords within clusters that were suggested to be subtopics of the general topic. Performing content analysis using the 8 selected documents has shown the most occurring keywords to be similar to those discovered in the citation analysis. The articles utilized bibliometric analysis tools to have further insight on the contributing journals and keywords drawn from multiple sources and methods of Artificial Intelligence and Transportation research. Articles from the Citespace citation burst and VOSViewer co-citation analysis were used to further support the necessity of automation and safety in artificial intelligence and transportation.