国内外智能交通系统研究热点及演化趋势分析

Analysis of research hotspots and evolutionary trends of intelligent transportation systems at home and abroad

为更直观地了解与分析国内外智能交通系统领域研究发展的现状,基于中国知网与Web of Science数据库,选用CiteSpace科学计量软件,绘制关键词共现与时区演化等知识图谱,系统梳理国内外智能交通系统领域的研究热点与演化趋势。研究结果表明:近年来,在中国,该领域研究呈“东密西疏”的分布特点;美国、欧洲、韩国、新加坡等地对该领域的研究较多。无论研究者来自何方,该领域研究均呈现出将传统交通系统与新兴技术相融的趋势。而中国的学者则更多侧重于通过政策引领科技发展,而中国以外的国家和地区的研究者则相对更注重通过基础研究助力行业发展。交通大数据是目前研究的重点之一,中国学者的研究更侧重于整体的交通规划与建设。未来,中国应继续强化基础技术研发,推进车、路、云协同一体化建设,注重混合交通流等问题,推进中国智能交通系统的深入发展。

In order to understand the current situation of research development in the field of intelligent transportation systems at home and abroad,CiteSpace scientometric software is used to draw the knowledge map of keyword co-occurrence and time zone evolution based on China Knowledge Network and Web of Science database,and systematically sort out the research hotspots and evolution trends in the field of intelligent transportation systems at home and abroad.The results show that:First,in recent years,most of the foreign research has been conducted in the United States,Europe,Korea,and Singapore,while the domestic research shows the distribution characteristics of"dense in the east and sparse in the west".Secondly,both domestic and foreign research shows the trend of emerging technology integration and innovation,while foreign research focuses on basic research to help industry development and domestic research shows the characteristics of policy leadership.Thirdly,big data in transportation is the focus of R&D at home and abroad,while domestic research is more focused on overall transportation planning and economic construction.In the future,domestic research should continue to strengthen basic technology research and development,promote the integration of vehicle-road-cloud synergy construction,and focus on the research of mixed traffic flow and other issues,so as to promote the development of China's intelligent transportation system.