Advanced Driver Assistance Systems (ADAS) and intelligent vehicle control technologies require rigorous validation before deployment. While real-world testing offers realism, it remains expensive, time-consuming, and often limited by regulatory constraints or unsuitable for evaluating early-stage control strategies or edge-case behaviors. Virtual simulation provides a safe, configurable, and repeatable environment for functional testing, particularly for systems that rely on rule-based activation and real-time control response. This thesis presents a co-simulation framework for function-level vehicle control validation. The platform integrates MATLAB/Simulink for control algorithm design with RoadRunner, which implements road scenario generation and traffic modeling. Real-time interaction is achieved through standardized interface blocks, allowing the control system to dynamically respond to lane geometry, lead vehicle behaviors, and other driving events defined in simulation.