
交通运输科技领域研究现状与发展前沿知识图谱分析
Analysis of Research Status and Development Frontier Knowledge Graph in the Field of Transportation Science and Technology
为了明确交通运输科技领域研究现状与发展前沿,基于文献计量分析方法,系统梳理了2020—2024年WOS核心数据库收录的59 440篇交通运输科技领域文献,并通过VOSviewer软件对发文量、发文区域、研究主题及研究趋势等进行知识图谱分析。研究结果表明:2020—2024年,中国成为发文量最大的国家,占比43.15%,美国、德国分列第二、三位;全球发文量前20研究机构中,中国机构占13席;国家及机构间合作密切,以中美合作为主。研究主题聚类为五大领域:车辆设备低碳化、自动驾驶及车辆协同感知、交通信息技术、综合交通安全管理与风险识别及交通信息安全研究等。通过分析高被引论文,进一步明确研究热点为:交通运输系统设计、网络性能优化及运营管理、综合交通通信安全与信号、自动驾驶轨迹预测及安全性、自动驾驶及车辆协同技术研究。在未来研究趋势上,将继续人工智能技术、可持续交通系统及交通网络韧性等方面的前沿探索,研究将呈现“技术-系统-社会”三维协同演进的特征,以人工智能、信息技术、绿色能源等科技为核心驱动,强调交通方式协同与韧性提升,同时注重以人为本与社会伦理约束。
To clarify the research status and development frontier in the field of transportation science and technology, based on the bibliometric analysis method, 59 440 articles in the field of transportation science and technology included in the core database of WOS from 2020 to 2024 were systematically combed, and the knowledge graph analysis of the number of publications, publication areas, research themes and research trends was carried out through VOSviewer software. The results show that: from 2020 to 2024, China has become the largest contributor to the number of published papers, accounting for 43.15%, followed by the United States and Germany, ranking second and third, respectively; Among the top 20 research institutions in the world by publishing papers, Chinese institutions account for 13 seats; There is close cooperation between countries and institutions, mainly between China and the United States. The research themes are clustered into five major areas: low-carbon vehicle equipment, autonomous driving and vehicle cooperative perception research, traffic information technology, comprehensive traffic safety management and risk identification, and traffic information security research. Through the analysis of highly cited papers, it is further clarified that the research hotspots are: transportation system design, network performance optimization and operation management, integrated traffic communication safety and signaling, autonomous driving trajectory prediction and safety, autonomous driving and vehicle collaboration technology research. In the future, the research will continue to explore the frontiers of artificial intelligence technology, sustainable transportation system and transportation network resilience, and present the characteristics of "technology-system-society" three-dimensional collaborative evolution, driven by artificial intelligence, information technology, green energy and other technologies, emphasizing the coordination and resilience improvement of transportation modes, and focusing on people-oriented and social ethical constraints.
交通运输 / 知识图谱 / VOSviewer / 文献计量学 / 人工智能
transportation / knowledge graph / VOSviewer / bibliometrics / artificial intelligence
[1] |
中共中央, 国务院. 交通强国建设纲要[Z]. 北京: 中共中央,国务院, 2019.
|
[2] |
中共中央, 国务院. 国家综合立体交通网规划纲要[Z]. 北京: 中共中央,国务院, 2021.
|
[3] |
中国工程科技知识中心, 交通运输部科学研究院. 交通运输科技发展前沿分析报告[R]. 北京: 中国工程科技知识中心, 2020.
|
[4] |
何洪文, 孙逢春, 李梦林. 我国综合交通工程科技现状及未来发展[J]. 中国工程科学, 2023, 25(6):202-211.
|
[5] |
边扬, 李玲, 韩唐姗, 等. TOD类型:研究成果回顾(英文)[J]. Journal of Southeast University (English Edition), 2021, 37(3):306-316.
|
[6] |
李杰, 曾叙砜, 李平, 等. 道路交通安全文献的知识可视化综述[J]. 交通信息与安全, 2020, 38(1):13-19,26.
|
[7] |
何峻岭, 韦凌翔, 左昊, 等. 低碳城市视角下的我国综合交通运输研究热点及趋势分析[C]// 中国城市规划学会城市交通规划专业委员会.绿色数智提质增效——2024年中国城市交通规划年会论文集,2024:2234-2246.
|
[8] |
|
[9] |
|
[10] |
赵博, 李海华, 杨小丽, 等. 基于文献计量分析水热炭处理重金属的研究现状及发展趋势[J]. 材料导报, 2023, 37(S2):129-138.
|
[11] |
|
[12] |
宗乾进, 袁勤俭, 沈洪洲, 等. 知识图谱视角下的2010年我国情报学研究热点——基于知识图谱的当代学科发展动向研究之一[J]. 情报杂志, 2011, 30(12):48-53.
|
[13] |
|
[14] |
|
[15] |
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
|
[24] |
|
[25] |
|
[26] |
|
[27] |
|
[28] |
|
[29] |
|
[30] |
|
[31] |
|
[32] |
|
[33] |
|
[34] |
|
[35] |
|
[36] |
|
[37] |
|
[38] |
|
[39] |
|
[40] |
|
[41] |
|
[42] |
|
[43] |
|
[44] |
|
[45] |
|
[46] |
肖建力, 邱雪, 张扬, 等. 交通大模型综述[J]. 交通运输工程学报, 2025, 25(1):8-28.
|
[47] |
凤振华, 王雪成, 欧阳斌, 等. 面向2060年的我国交通运输绿色转型战略与路径[J]. 交通运输研究, 2024, 10(6):57-67.
|
/
〈 |
|
〉 |