The integration of autonomous vehicles into urban traffic systems raises important questions regarding their operational efficiency, environmental impact, and interaction with dynamic road users such as pedestrians. This study presents a comprehensive simulation-based evaluation of an autonomous robotaxi system, referred to as ADone, using the Simulation of Urban Mobility (SUMO) framework. A Monte Carlo approach with 200 randomized runs was employed to capture variability in traffic density, pedestrian activity, weather conditions, and system latency. A statistically robust simulation framework was established, with convergence analysis indicating stable and reproducible results across all runs. The analysis suggests that ADone exhibits an average travel time increase of approximately 49% relative to standard vehicles.