交通信息与安全2024，Vol.42Issue(6)：1-13,13.DOI:10.3963/j.jssn.1674-4861.2024.06.001
基于文献计量分析的公路隧道交通安全国际研究进展
International Research Progress on Highway Tunnel Traffic Safety Based on Bibliometric Analysis
摘要
Abstract
In order to systematically analyze and comprehensively summarize the current state of research and devel-opment 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 lit-erature is visually presented and analyzed to create a knowledge map of major research themes and hotspots in high-way 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 institu-tions,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 envi-ronment and driving performance in highway tunnels,highway tunnel lighting and its impact on driving safety,and traffic facilities in highway tunnels and their relation to driving safety.However,there are limitations in the evalua-tion 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 al-so focus on macro-level situation analysis and micro-level individual analysis of driving in highway tunnels,leverag-ing 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.关键词
交通安全/公路隧道/文献计量分析/可视化分析/发展态势Key words
traffic safety/highway tunnel/bibliometric analysis/visualization analysis/development trends分类
交通工程引用本文复制引用
韩磊,杜志刚,潘远轩,钱志浩..基于文献计量分析的公路隧道交通安全国际研究进展[J].交通信息与安全,2024,42(6):1-13,13.基金项目
国家自然科学基金项目(52072291)资助 （52072291）
