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Issue title: Special Section: Fuzzy Logic for Analysis of Clinical Diagnosis and Decision-Making in Health Care
Article type: Research Article
Authors: Liu, Huia; * | Li, Yifana | Hong, Ruia | Li, Zhenmingb | Li, Mingc | Pan, Weic | Glowacz, Adamd | He, Haoa
Affiliations: [a] College of Quality and Safety Engineering, China Jiliang University, Hangzhou, China | [b] College of Education, Zhejiang University of Technology, Hangzhou, China | [c] School of Resource and Safety Engineering, Central South University, Changsha, China | [d] Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Al.A.Mickiewicza 30, Krakow, Poland
Correspondence: [*] Corresponding author. Hui Liu, College of Quality and Safety Engineering, China Jiliang University, Hangzhou, 310018, China. Tel.: +86 571 868 75715; E-mail: [email protected].
Abstract: In order to trace the research trends and hotspots related to the field of driver behavior research both in China and worldwide, a bibliometric analysis was performed to systematically analyze 7208 scientific papers about driver behavior in the Web of Science database from 1957 to 2018, and the results were discussed from the 6 perspectives of growth trends of publications, geographical distribution, subject categories, institutions, authors and keywords distribution. The results show that research on driver behavior has been increasing rapidly since the 1990 s, but research in Europe and the United States started more than 20 years earlier than in China. Currently, transportation, engineering, computer science and behavioral science have replaced the traditional subject categories, becoming the most important domains in this field. Research on driver behavior focuses on safety and systems using simulation models which is interacted with almost everything concerning traffic operation and safety. The current trend is that more researchers are working on understand the driver-vehicle-system interactions under the environment of connected and autonomous vehicle. Further research is needed to focus on unsafe driving behavior based on driver-vehicle-system interactions. This study will provide scholars in related academia and industry with panoramic knowledge of driver behavior research, as well as research hotspots and future research directions.
Keywords: Driver behavior, research trends, driving safety, knowledge graph, visualization
DOI: 10.3233/JIFS-179424
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 495-511, 2020
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