As autonomous and connected vehicles transition from research prototypes to real-world applications, public acceptance and perceived safety remain decisive factors for successful deployment. While technical progress in Cooperative, Connected, and Automated Mobility (CCAM) has been remarkable, understanding human attitudes toward automation, particularly in diverse cultural and infrastructural contexts, is essential for ensuring equitable and safe adoption. This study explores the acceptance, safety perceptions, and behavioural intentions of Greek drivers toward CCAM systems, focusing on factors that influence willingness to adopt and trust automated mobility solutions. Greece provides a unique case study due to its heterogeneous traffic environment, varying levels of digital literacy, and cultural attitudes toward technology and safety. A quantitative survey was designed to target a representative sample of Greek drivers. The questionnaire comprised four sections: (1) travel behaviour and mobility habits, (2) familiarity with CCAM technologies, (3) stated preference (SP) scenarios, and (4) demographic information. The SP section included binary and multinomial choice experiments, designed to assess trade-offs between cost, travel time, comfort, safety, and human supervision under realistic transport scenarios. The SP section presented respondents with hypothetical travel scenarios in which cost, travel time, and safety level varied across three vehicle alternatives: conventional, semi-autonomous, and fully autonomous vehicles. Data were analysed using binary logistic regression to model purchase intention and a multinomial logit (MNL) model to analyse vehicle-type choice. The analysis revealed that perceived safety and trust are the most influential predictors of CCAM acceptance, followed by familiarity with automation and prior exposure to connected transport technologies. Respondents with higher awareness of CCAM benefits were significantly more likely to express positive adoption intentions. Conversely, concerns about system reliability, emergency responsiveness, and cybersecurity risks emerged as key barriers to trust. These findings highlight the need for user-centred design and policy frameworks that address both technological performance and psychological readiness. The study provides evidence-based insights into how users’ safety perceptions intersect with mobility behaviour. By combining behavioural modelling with cross-cultural analysis, this work supports the broader objective of integrating human factors into the safe, inclusive, and sustainable rollout of CCAM systems.
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