Jingyu Li , Weihua Zhang , Zhongxiang Feng , Lulu Liu , Haoxue Guan
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The United States, China and Germany are the top three countries in terms of the number of published articles. “Situational awareness and visual load”, “route selection under variable information signs”, “en-route information and behaviour” and “new information technology attitudes” are important knowledge bases for driver information processing and application. En-route information sources, human-computer interaction, and autonomous vehicle information are the research trends of the driver information processing and application field. 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引用次数: 0
摘要
随着信息技术的不断发展,驾驶过程中的信息环境不断丰富,驾驶员信息处理和应用也在动态演进。分析信息处理和应用可以更好地提供信息服务,对交通安全尤为重要。基于VOSviewer文献计量软件,以Web of Science(WoS)核心集合为数据源,探讨了驾驶员信息处理和应用领域的研究热点和未来发展趋势。研究结果表明,该领域历史悠久,近年来稳步发展。美国、中国和德国是发表文章数量排名前三的国家。“情景意识和视觉负荷”、“可变信息标志下的路线选择”、“途中信息和行为”以及“新信息技术态度”是驾驶员信息处理和应用的重要知识库。途中信息源、人机交互、自动驾驶汽车信息是驾驶员信息处理和应用领域的研究趋势。该研究的结果可以帮助人们全面、系统地了解驾驶员信息处理和应用研究的现状,为未来的驾驶员信息处理与应用研究提供方向,促进此类研究的工程应用。
A bibliometric review of driver information processing and application studies
With the continuous development of information technology, the information environment while driving is constantly being enriched, and driver information processing and application are also dynamically evolving. Analysing information processing and application can better provide information services and is particularly important for traffic safety. Based on VOSviewer bibliometric software, this paper explores the research hotspots and future development trends of the driver information processing and application fields using the Web of Science (WoS) core collection as the data source. The results show that the field has a long history and has grown steadily in recent years. The United States, China and Germany are the top three countries in terms of the number of published articles. “Situational awareness and visual load”, “route selection under variable information signs”, “en-route information and behaviour” and “new information technology attitudes” are important knowledge bases for driver information processing and application. En-route information sources, human-computer interaction, and autonomous vehicle information are the research trends of the driver information processing and application field. The results of this research can help people comprehensively and systematically understand the current situation of driver information processing and application research, provide directions for future driver information processing and application research, and promote the engineering application of such research.
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.