Rain sensing headlamps are a key component of modern automotive lighting systems that utilize sensors to detect moisture on the windshield and automatically turn on the headlights. This paper presents a model-based systems engineering (MBSE) approach to the design and development of a rain sensing headlamp system. The MBSE methodology is used to model and analyse the various subsystems of the rain sensing headlamp, including the sensor, control unit, and headlamp. The model is then used to optimize the design parameters of the system, such as sensor placement and sensitivity, to achieve optimal performance. The paper also discusses the integration of the rain sensing headlamp system with other advanced driver assistance systems (ADAS), using a model-based approach. The results of the study demonstrate that the MBSE approach is an effective method for the design and development of rain sensing headlamp systems, and can be used to optimize the performance and integration of these systems with other ADAS. The findings of this paper can serve as a valuable reference for automotive engineers and researchers working in the field of advanced automotive lighting systems and ADAS.