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.