Recent years, significant studies have beendevoted to the development of decision-making models in the field of emergency medical services. One of the most important issues in these systems is the location of ambulance stations. The location of stations should be determined in such a way as to minimize the response time for calls made to the emergency center. Response time depends on many uncertain factors, including ambulance availability, travel time, location of the emergency, and other influencing factors. The purpose of this study is to locate and temporarily deploy ambulances in temporary locations, taking into account the demand and traffic pattern, using the simulation optimization approach. In this dissertation, a new mathematical model has been developed for this problem. The objective function of the proposed model is to maximize covered demand and minimize redeployment costs. The proposed model takes into account the time dependence of travel time and the busy fraction of ambulances and the consideration of temporary locations. In the following, the proposed model is implemented for the case study of Isfahan. The results show that the quality of the answer obtained from the proposed model has improved by 5.9% compared to the models in the literature review