• Autonomous Driving Systems
• Co-Simulation
• FMI Standard
• Model Predictive Control

Autonomous driving has evolved considerably over the years. There are many sectors interested in its development due to the achievable benefits like reduction in traffic deaths, increased lane capacity, improvement in fuel economy. Various technologies have already been put in place to test and verify the reliability and safety of an autonomous vehicle, starting from a simplified model in which the driver is still part of the system up to a completely autonomous model that manages to cooperate with the environment.
This thesis is focused on the simulation of autonomous vehicles, based on the concept of co-simulation. In the thesis, a tool has been designed and implemented to automatically generate FMUs, critical components of co-simulation architecture complying with the FMI standard. The tool has been validated by simulating a case study involving a self-driving vehicle in various scenarios, controlled by an MPC algorithm.