Autonomous vehicles (AVs) have the potential to revolutionize transportation by improving safety, reducing accidents, enhancing traffic flow, and increasing fuel efficiency. Despite their numerous benefits, public acceptance of AVs remains a challenge due to concerns related to safety, liabilities, and control. This study aims to understand public perceptions of AVs, perceptions of AVs safety and their impact on adoption and policy development. Using a unique dataset comprising surveys of 1000 Michigan residents, census data, and other relevant information, this research addresses these key research questions: (1) Does the perception of the safety of autonomous vehicles (AVs) vary depending on different timeframes and conditions? (2) How do the public perceive and react to the different fears associated with riding in autonomous vehicles (AVs)? (3)What factors impact people's willingness to use autonomous vehicles in the future? (4) Is there a correlation between individuals who are early adopters of other technologies and their inclination to embrace autonomous vehicle technology early on?The study reveals that most individuals in Michigan feel safe riding in AVs during light traffic, daytime, and within their own town, while feeling less comfortable during heavy traffic, nighttime, and on highways. Gender is a significant differentiating factor, with males generally feeling safer in all situations. Demographic factors such as age, household income, and employment status also influence comfort levels, with younger employed individuals exhibiting higher acceptance compared to older retired individuals. Familiarity with AV technology reduces concerns related to software or hardware malfunctions and vehicle breakdown. Additionally, individuals who are less aware or less positive about AVs require more time before embracing the technology. Furthermore, early adopters of other technologies, including text messaging, smartphones, social media, transportation apps, car sharing, and smart home technology, are more likely to be early adopters of AVs. The findings of this study provide valuable insights for AV technology developers regarding public perceptions in Michigan. Recommendations are made to target specific communities and regions for information initiatives and development interventions to maximize the benefits of AV implementation. By understanding public perceptions of AV safety and identifying early adopters, this research contributes to the knowledge base necessary for the successful integration of AVs. Decision-makers can leverage this information to address concerns, build public trust, and facilitate widespread adoption of AV technology. Moreover, identifying early adopters offers valuable input for marketing campaigns, policy formulation, and infrastructure planning.
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