The use of simulators in training is well established in a number of professional fields (e.g. military, aviation, and medicine); however, in the face of a rapidly evolving policing environment and increasing financial pressures, law enforcement agencies are slowly beginning to adopt simulation technology as a way to address training gaps while being fiscally responsible. The Royal Canadian Mounted Police (RCMP) has adopted driving simulators (Krätzig, Bell, Groff, & Ford, 2010; Krätzig, & Hudy, 2011) as a training tool for their Cadet Training Program (CTP). Although the successful use of driving simulators (Krätzig, et al, 2010; Krätzig & Hudy, 2011) and the video-based use-of-force simulators is well established, the RCMP envisioned combining the driving simulations and use-of-force simulations to create a more dynamic and high-arousal training environment. Currently when cadets train in the driving or use-of-force synthetic environments, they are standalone training sessions with a focus on task-specific learning objectives, and as such cadet performance is very good. An experiment using 214 RCMP cadets was conducted, and the performance data from combining these two synthetic environments into one complex scenario, was analyzed. These results revealed performance decrease in both driving and judgment in previously demonstrated areas of proficiency. This paper discusses methods, measures, and results along with the future research directions.