The effectiveness of Incident Management Teams (IMT) in reducing the duration and impact of traffic incidents is well-documented. The capacity of large-scale simulation models to illustrate the negative effects of these incidents on vehicle delays and excess user costs (EUC) is also widely recognized. However, there is a gap in research integrating large-scale simulation modeling with IMT performance analysis. This study uses the Multi-Agent Transport Simulation (MATSim) framework to simulate the impact of incidents and evaluate the performance of IMT across the regional network of Utah's Wasatch Front, analyzing their operation in various hypothetical situations. Our findings validate the role of IMT in decreasing delays and EUC. The simulation also investigates the potential effects of increased incident frequency and IMT expansion, revealing that more incidents increased delays, whereas additional IMT units can mitigate these effects and improve response times. The MATSim model we developed demonstrates the potential of dynamic large-scale modeling to evaluate incident management strategies in ways that previous studies did not. This model could serve as a valuable tool for further evaluating the performance of Utah's IMT program, with the potential to offer new perspectives on optimizing team deployment and scheduling efficiency.