International Research Progress on Highway Tunnel Traffic Safety Based on Bibliometric Analysis
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摘要: 为了系统分析和全面总结公路隧道交通安全的研究现状和发展趋势,通过Web of Science核心合集数据库检索2000—2022年间出版的该研究领域相关英文文献。基于VOSviewer软件对该领域文献进行可视化展示与分析,创建公路隧道交通安全主要研究主题和热点知识图谱,总结该领域研究现状、问题挑战和发展趋势。结果表明:有关公路隧道交通安全的研究文献年度发文量整体呈现上升趋势,在该研究领域贡献率最大的国家、机构、期刊分别是中国、同济大学和Tunnelling and Underground Space Technology。当前公路隧道交通安全领域的研究热点集中于公路隧道交通事故特征分析、公路隧道行车环境与驾驶绩效、公路隧道照明与驾驶安全、公路隧道交通设施与行车安全等主题。但是,目前公路隧道交通安全评价方法和技术标准存在局限性、评价体系考虑因素片面不统一、数据源与数理模型的精度与效度仍有待提升、智能交通技术在公路隧道交通安全的应用效果尚需深入研究。未来公路隧道交通安全研究应重点关注考虑不同需求层次的公路隧道行车环境提升方法和评价模型、基于多源、异构、海量数据的公路隧道驾驶宏观态势和微观个体分析、基于机器学习和智能网联技术的公路隧道驾驶风险感知模型和调控策略等方面。Abstract: In order to systematically analyze and comprehensively summarize the current state of research and development trends of highway tunnel traffic safety, relevant English languageliterature published between 2000 and 2022 in this field is retrieved from the Web of Science Core Collection database. Using VOSviewer software, the literature is visually presented and analyzed to create a knowledge map of major research themes and hotspots in highway tunnel traffic safety. The research status, challenges, and development trends in this field are summarized. The results indicate that the annual publication volume of research literature on traffic safety in highway tunnels shows an overall upward trend. In terms of contributions, China leads among countries, Tongji University among institutions, and "Tunnelling and Underground Space Technology" among journals. Current research hotspots in highway tunnel traffic safety focus on topics such as the analysis ofaccident characteristics in highway tunnels, driving environment and driving performance in highway tunnels, highway tunnel lighting and its impact on driving safety, and traffic facilities in highway tunnels and their relving in highway tunnels, levation to driving safety. However, there are limitations in the evaluation methods and technical standards for highway tunnel traffic safety. The consideration of factors in the evaluation system is one-sided and inconsistent, the accuracy and validity of data sources and mathematical models still need to be improved, and the application effects of intelligent transportation technologies on highway tunnel traffic safety need further investigation. Future research in this field should prioritize the development of methods and evaluation models to enhance the driving environment in highway tunnels, considering different levels of demand. It should also focus on macro-level situation analysis and micro-level individual analysis of driving in highway tunnels, leveraging multi-source, heterogeneous, and big data. Additionally, research should study driving risk perception models and control strategies for highway tunnels, utilizing machine learning and intelligent connected vehicle technologies.
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Key words:
- traffic safety /
- highway tunnel /
- bibliometric analysis /
- visualization analysis /
- development trends
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表 1 公路隧道交通安全研究领域文献数量排名前10位的国家
Table 1. Top 10 countries in the number of literature on highway tunnel traffic safety research
序号 国家/地区 文献数量/篇 百分比/% 被引次数 总关联强度 1 中国 778 55.49 11 285 55 950 2 美国 200 14.27 4 646 26 598 3 意大利 95 6.78 2 279 8 300 4 英国 87 6.21 1 520 8 065 5 澳大利亚 70 4.99 1 634 9 083 6 韩国 57 4.07 1 123 4 566 7 法国 52 3.71 989 5 217 8 德国 52 3.71 720 7 068 9 西班牙 48 3.42 1 025 4 543 10 瑞典 37 2.64 906 3 547 表 2 公路隧道交通安全研究领域文献数量排名前10位的机构
Table 2. Top 10 organizations in terms of literature in the field of highway tunnel traffic safety research
序号 机构 文献数量/篇 百分比/% 被引次数 总关联强度 1 同济大学 86 6.13 1 608 14 669 2 中南大学 62 4.42 442 15 161 3 西南交通大学 62 4.42 647 12 464 4 长安大学 53 3.78 786 7 921 5 华中科技大学 45 3.21 1 532 9 415 6 北京交通大学 32 2.28 606 4 839 7 香港理工大学 30 2.14 691 6 996 8 武汉理工大学 28 2.00 308 6 489 9 重庆交通大学 24 1.71 169 3 889 10 北京工业大学 23 1.64 184 4 378 -
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