In an effort to understand public acceptance and adoption behavior of smart vehicles technologies, this paper presents a detailed analysis of consumer preference for electric and autonomous vehicles. The analysis is based on the results of a recent survey conducted in the Chicago Metropolitan area. Multiple stated choice experiments are designed and the respondents are asked to choose the most preferable vehicle option to purchase among the four described alternatives: non-automated gasoline vehicle, non-automated electric vehicle, automated gasoline vehicle, and automated electric vehicle. This study adopts the random parameter logit model to estimate respondents' vehicle choice behavior while accounting for preference heterogeneity across respondents. We found that demographics, driving patterns, experience with technology and expectations for benefits/concerns affect participants' adoption behavior. It is also found that the possibility of imperfect performance in response to unexpected traffic situations is the most critical concern of respondents, while increased safety is the most significant expected benefit of automated vehicles. Young adults, well-educated and tech-savvy respondents, those with high annual VMT and those who have long-distance work trips are found to be more willing to choose automated and electric automated options.