This study investigates the field of Driving Style Estimation (DSE) and its significant implications for enhancing road safety, improving vehicle usability. DSE plays a crucial role for plenty of applications such as the identification of various driving behaviors (distraction, drowsiness, aggressiveness) which are vital for developing driver assistance systems. DSE can play an important role in fields like mission optimization, behavior profiling and virtual coaching also. Due to the high costs associated with obtaining real-world driving data, the research community, in parallel with automotive manufacturers (OEMs), has turned to driving simulators as a cost-effective alternative. These simulators not only provide a controlled environment for collecting driving data but also address sustainability themes, optimizing time and resource allocation in development processes for new algorithms within the automotive industry.