People aim to build completely smart environments in the near future. Building a smart environment is possible through integrating the physical and computing systems which is known as Cyber-Physical System. In the era of mobile devices, Mobile Cyber-Physical System is more required and feasible for daily life. Mobile Cyber-Physical Systems can become automatic systems by enabling Situation-Aware execution in management processes. Context/Situation-Awareness in Mobile Cyber-Physical System is practicable if the individual situation of a system can be modeled and simulated at development time. For this, abstract models or architectures that show how situations can be modeled and simulated in Mobile Cyber-Physical Systems are necessary. As Mobile Cyber-Physical Systems depend on multiple disciplines and is a complex combination of sensors, application systems, embedded systems, and users, it is complicated to model situations for these systems. Not only are these systems complex in integration, but they can also be huge in size too. Therefore, while modeling situations, it is essential to consider all objects of the system very carefully. This challenge starts by knowing and monitoring all the sensors to obtain sensor data. Then situations need to be modeled and later detected through simulation based on the sensor data. In this thesis, we propose an abstract system and build a simulation process that helps to model and simulate situations to ease the development and testing of such applications in Mobile Cyber-Physical System. Firstly, we propose a Simulation Framework for Situation-Aware Applications which consists out of two components named Simulation System and Situation Recognition System. Then we have implemented our approach within the scenario of the application of Software Update in vehicular systems.