Autonomous vehicles are built based on the ideas of eliminating collisions that result from human driving errors as well as increasing road safety. However, to implement autonomous driving, some requirements must be considered that fall under the following 4 categories: technology readiness, infrastructure readiness, legal readiness, and people's acceptance. One of these requirements is the importance of considering culture when adopting autonomous driving technology. The aim of this research was to explore and evaluate the adoption factors for the implementation of autonomous driving in the United Arab Emirates (UAE). In this study, a mixed-methods methodology was used, namely qualitative data collection and analysis in the first phase followed by quantitative data analysis in the second phase. In the first phase, the literature was reviewed, which revealed 19 factors that affect the adoption of autonomous driving worldwide starting with vehicle technology, safety, security, ethics, reliability, technology of roads and traffic signs, communication and more factors are mentioned in the research. Moreover, the Autonomous Vehicle Acceptance Model (AVAM) was applied to recognize eight more adoption factors, namely performance expectancy, effort expectancy, social influence, anxiety, perceived safety, self-efficacy, attitude toward technology, and facilitating conditions. Furthermore, 62 semi-structured interviews were conducted among interviewees with response rate of 73% which are selected from 21 stakeholders related to autonomous driving and transportation in the UAE. The interviewees identified five more factors, specifically, incentives, vehicle design, training for use, driving pleasure, and entertainment systems. Thus, the total number of factors collected from reviewing the literature, from the AVAM and finally the interviews are 32. In the second phase of the study, the 32 factors were analyzed through factor analysis using a quantitative survey conducted with 21 stakeholders related to autonomous d