Simulation of Advanced Driving Assistance Systems for a Dynamic Vehicle Model

Advanced Driving Assistance Systems (ADAS), such as collision avoidance systems and adaptive cruise control, are important features of autonomous driving and are gaining importance day by day in terms of increasing road safety. To increase the reliability of the system, virtual simulation environments are used during the design and development stages. This study examines the effect of ADAS features on energy parameters during the driving cycle in a virtual simulation environment. The discussion focuses on the simulation of an electric vehicle and the relationship between energy use and ADAS functions. For ADAS modeling and simulation, a dynamic model was developed in MATLAB and examined throughout the NEDC drive cycle.