Training road users for future mixed automated traffic contexts: a practical framework for creating evidence-based education and awareness schemes

This paper explores the development of training and awareness programs on URU safety in the context of an H2020 Research & Innovation project addressing safety of road user groups in future automated traffic. Along with reducing crashes by reducing human error, increasing penetration of AVs is expected to bring disruptions requiring public education and awareness on new traffic risks, safety technology and behaviors. We combine practices from Knowledge Translation of research with Constructive Alignment in educational design to create a flexible framework for developing programs meeting the following best practice requirements: knowledge users engaged to benefit from their experience and networks; outcomes translated as tailored messages to address diverse audiences; clearly stated objectives are relevant, evidence-based; learning strategies emphasize higher cognitive functions; evaluated and updated iteratively.