Literature review of driving fatigue research based on bibliometric analysis

IF 6.8 2区 工程技术 Q1 ENGINEERING, CIVIL
Fengxiang Guo , Yiwen Zhou , Xiaoan Wang , Wenxuan Li , Jing Cai
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Abstract

Driving for a long time can lead to fatigue, which can affect information processing and decision-making, potentially threatening driving safety. By exploring the generation and variation patterns of driving fatigue and clarifying the application status of its detection and warning technology, traffic safety can be improved. In order to understand the research progress of driving fatigue, based on the Web of Science core database, this paper obtained 2127 English literature published from 1998 to 2023 (as of May 12, 2023), covering a total of 5963 authors and 6019 keywords, and the bibliometric tool VOSviewer and R-Bibliometrix are used to analyze the literatures. Firstly, the literature statistical analysis is carried out from annual distribution, country distribution, source journals, and core authors. Secondly, the research hotspots and trends are analyzed from keywords co-occurrence, high-impact literature, theme evolution, and development trends. Finally, the development trend of driving fatigue research is discussed. The result shows that the hotspots in the field of driving fatigue include driving fatigue detection, fatigue driving risk and fatigue research of professional drivers, driver alertness and coping strategies for driver fatigue, and driver fatigue under automatic driving. And the improvement of the accuracy and reliability of driving fatigue detection will be the difficult point to break through in the future. It is necessary to build a multi-disciplinary and meticulously quantified driving fatigue and its risk assessment system, and strengthen the control of fatigue risks. Research on intervention measures and education training for professional drivers needs to be deepened, while exploring the acceptance and compliance of intervention measures. Moreover, the evolution law and prevention strategies of driver fatigue under automatic conditions should be the focus of future research.
基于文献计量分析的驾驶疲劳研究文献综述
长时间驾驶会导致疲劳,影响信息处理和决策,潜在威胁驾驶安全。通过探索驾驶疲劳的产生和变化规律,明确驾驶疲劳检测与预警技术的应用现状,可以提高交通安全水平。为了了解驾驶疲劳的研究进展,本文基于Web of Science核心数据库,获取1998 - 2023年(截至2023年5月12日)发表的英文文献2127篇,共计5963位作者,6019个关键词,利用文献计量学工具VOSviewer和R-Bibliometrix对文献进行分析。首先,从年度分布、国家分布、来源期刊、核心作者等方面进行文献统计分析。其次,从关键词共现、高影响文献、主题演变、发展趋势等方面分析研究热点和趋势。最后,对驾驶疲劳研究的发展趋势进行了展望。结果表明,驾驶疲劳研究领域的热点包括驾驶疲劳检测、职业驾驶员疲劳驾驶风险与疲劳研究、驾驶员疲劳警觉性与应对策略、自动驾驶下驾驶员疲劳等。而提高驾驶疲劳检测的准确性和可靠性将是今后的难点。建立多学科、细致量化的驾驶疲劳及其风险评估体系,加强对疲劳风险的控制。在探索干预措施的接受度和依从性的同时,需要深化对职业司机干预措施和教育培训的研究。此外,自动驾驶条件下驾驶员疲劳的演化规律和预防策略应成为未来研究的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
13.60
自引率
6.30%
发文量
402
审稿时长
15 weeks
期刊介绍: The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.
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