Recent advances in vehicle automation promise improved safety and efficiency, but the “approval trap” highlights gaps in safety evidence for highly automated driving. New approaches for testing and risk identification are needed, especially as automated vehicles operate in mixed traffic. This chapter applies the Functional Resonance Analysis Method (FRAM) to an overtaking scenario on a rural road, examining interactions between human drivers and automated vehicles. By identifying patterns that lead to accidents or prevent them, the chapter aims to enhance system stability. Methodological advancements in the FRAM, with new metrics for complexity and interaction, are presented for a practitioner-focused audience.