Autonomous driving is an ongoing trend with the potential to revolutionize transport. In this paper, the authors investigated previous studies that focused on user preference and acceptance of autonomous vehicles. Some studies combined the choice of preferred traits and the intention of behavior to test the preferences of individuals. The research reviews focused primarily on behavioral intentions rather than technological preferences. Research documents on autonomous vehicles have been collected from various sources. The document's structure includes sections on methods, attributes, sociodemographics, attribute variables, identified gaps and conclusions. Discrete selection experiments are used to understand user preferences for new transportation technologies. The services of autonomous vehicles consider variables based on vehicles and individuals. Since 2013, the research on level 5 autonomous vehicles in Europe and the United States has focused on online surveys. Different models are used for data analysis to calculate individual heterogeneities in preferences. In some studies, hybrid selection and nested logit models were also used to capture user preferences. Experimental selection design in the literature often involves using orthogonal and D-efficient methods.