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The project began by understanding the current state of practice and trends. NHTSA’s four-level taxonomy for automated vehicles was used to classify smart driving technologies and infrastructure needs. The project used surveys to analyze and gain an understanding of the U.S. general public’s perception towards such technologies and their willingness to adopt such technologies. Respondents were asked several anticipatory questions including their technology preferences (buying/selling their vehicles or simply adding new technologies to their current vehicles), and their comfort with and willingness to pay for connected and autonomous vehicles (CAVs). The team found that advanced automation technologies are not yet popular. This research report also describes the potential crash, congestion, and other impacts of CAVs in Texas, and provides initial monetary estimates of those impacts, at various levels of market penetration. Our findings indicate that CAVs will lead to increased vehicle miles traveled (VMT) because, essentially, drivers experience falling travel time burdens. Their values of travel time that make using a vehicle “costly” tend to decrease because they are more comfortable heading to more distant locations and those unable to drive themselves, such as the handicapped, can now safely travel.