Acceptance of Automated Vehicles: Case Study of Drive2theFuture Project

The transport sector has increased awareness regarding automated vehicles and their integration to reduce impacts by increasing efficiency. This paper aims to identify correlation parameters of acceptance by a pre-acceptance analysis questionnaire done by the Drive2theFuture project. To reach this, an acceptance interested questionnaire has considered determining the acceptance correlated parameters with also regression analysis and cross-cutting comparisons. The result of the study indicates a well-balanced connection with the users’ characteristics, in terms of knowledge, perception, education level, income, and privacy concerns has a positive increase of acceptance with slight significance. Then, the correlation analysis shows acceptance is more related to education, risks, and previous knowledge of automated vehicles. So, training and interactions would increase acceptance