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Flashing Yellow Arrows (FYA) on left turns have been found to improve the safety of permissive movements. Recently, cities have also started to use FYA on right turns as a way for making the interactions between right-turning vehicles and conflicting pedestrians safer. Certain questions remain unanswered about the use of FYA for permissive movements, e.g., how signal status and transition between phases impact driver behavior? Researchers have explored (and continue to explore) behaviors during signal status transitions. However, methodologies used typically rely on aggregate data or are too broad in scope to isolate and understand the “microscopic-level” reactions of users to signal status changes or infrastructure characteristics. Existing data collection procedures based on radar technology and computer vision make it possible to obtain detailed information about how roadway users interact with each other and the transportation infrastructure. These datasets can be combined with modeling approaches that use agent-based modeling as a foundation to obtain a detailed understanding of what potentially causes behaviors observed in the field. This project will explore using of a combination of radar-based trajectories and driving simulation to answer pressing questions related to the use of FYA for left and right turns.