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In the rapidly evolving field of autonomous vehicle (AV) technology, virtual reality (VR) simulations have proven to be an effective method in interaction research. This paper addresses the significant gap in existing tools for annotating and analyzing behaviors in 3D VR environments. We propose a novel 3D behavioral coding tool, extending the capability of the ReRun system, that enables precise marking and categorization of interactions within VR driving simulations. We demonstrate how this tool enhances simulation in AV research, providing an efficient method for integrating both qualitative and quantitative analysis of complex interactions-crucial in improving safety of autonomous systems.