Autonomous vehicles are a growing concern nowadays, therefore the knowledge and expectations regarding pedestrian safety have risen substantially. Additionally, ensuring pedestrian safety has become a crucial requirement for autonomous driving. The current research focuses on the contribution of the Pedestrian Protection System (PPS) in the prevention of pedestrian collision impact. The simulation technology that Simcenter Prescan and Simulink are providing, has been used to develop the virtual traffic scenario which highlights the performance of the main sensors: camera and RADAR (radio detection and ranging). The Simcenter Prescan simulation framework includes realistic vehicle dynamic models and virtual traffic infrastructure along with sensors that were placed in several locations on the vehicle to capture the position of the pedestrian. Three variations of speed were analysed in order to observe where the collision is avoided considering the safety conditions. The results of the considered speed were primarily observed using the visualization output of the sensors from the PPS system. To develop trustful autonomous vehicles, it is fundamental to incorporate efficient pedestrian crash avoidance systems that increase traffic safety.