BRAVE’s approach assumes that the launch of automated vehicles on public roads will only be successful if a user centric approach is used where the technical aspects go hand in hand in compliance with societal values, user acceptance, behavioural intentions, road safety, social, economic, legal and ethical considerations.

This approach must be understood as a multidisciplinary task, including engineering and technology, but also social sciences. To gain acceptance and promote the launch of automated vehicles, the opinions, needs, expectations and concerns from both, citizens and stakeholders have to be considered. While developing and implementing automated vehicles, it is necessary to ensure that the societal consensus regarding the acceptance of automated vehicles is met, and the social, legal, economical and ethical implications are considered sufficiently while designing new technical features.

Multidisciplinary research teams will together explore the multi-perspective views of organized stakeholders to provide insights from the opinion-forming process on the aggregate level of the political arena. This includes associations, regulators, policy makers, driving schools, or insurance companies, to name a few. All of them are involved in the current road vehicle arena, and their views towards the adoption of automated vehicles should be taken into account.

User-centered development require engineers to be aware of and to consider a broad array of needs, expectations and concerns of all road users (potential drivers of automated vehicles and also drivers of non-automated cars and vulnerable road users) and the human factors that influence automation operation. These being met will facilitate acceptance and market entry. Following the exploratory work of focus groups and expert interviews a cross-cultural population survey of the general public in the countries of the BRAVE-participants will explore societal values, user acceptance, behavioural intentions, road safety, social, economic, legal and ethical considerations regarding the implementation of automated vehicles.

These insights will lay the foundation for the integration of innovative Advanced Driving Assistance Systems and Human Machine Interface concepts. These new concepts will be validated back against the (baseline) requirements using an agile, iterative and incremental user-centric methodology evolving through 3 stages.