Abstract: For the acceptance of autonomous vehicles technology, the mapping knowledge domain was applied to analyze and visualize the relationship between the research and development process and the knowledge network in the field of the acceptance of autonomous vehicles technology based on the annual trend of published literature, national cooperation network, publications and periodicals, acceptance behavior theory, influencing factors and data analysis methods. The results show that the United States, Germany and China are the major contributors to the field. The safety of autonomous vehicles technology is the primary affecting factor on public acceptance, and trust, attitude, perceived ease of use, perceived usefulness, perceived risk and social norms are the most important psychological influencing factors on the acceptance. Descriptive statistics and analysis of variance, regression analysis, factor analysis, structural equation model, Logit model and Probit model are the main research methods in the field. However, the existing theoretical models of acceptance of autonomous vehicles technology have low explanatory power, and the symbolic value and key psychological influencing factors on the acceptance of autonomous vehicles technology with Chinese characteristics should be further explored. The samples with deviation and the adding autonomous vehicles technology simulator should be further analyzed.