A bibliometric review of driver information processing and application studies

被引:3
|
作者
Li, Jingyu [1 ]
Zhang, Weihua [1 ,2 ]
Feng, Zhongxiang [2 ]
Liu, Lulu [2 ]
Guan, Haoxue [2 ]
机构
[1] Hefei Univ Technol, Coll Civil Engn, Hefei 230009, Peoples R China
[2] Hefei Univ Technol, Sch Automot & Transportat Engn, Hefei 230009, Peoples R China
基金
中国国家自然科学基金;
关键词
Traffic safety; Human factor; Information processing; Driving behaviour; Bibliometric analysis; VARIABLE MESSAGE SIGNS; TRAFFIC INFORMATION; ROUTE CHOICE; USER ACCEPTANCE; SITUATION AWARENESS; SYSTEMS; MODEL; BEHAVIOR; REAL; DIVERSION;
D O I
10.1016/j.jtte.2023.05.004
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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 hot-spots 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 ar-ticles. "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.(c) 2023 Periodical Offices of Chang'an University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:787 / 807
页数:21
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