Driver behavior is influenced by fatigue, road conditions, and experience. Figure 5.1 shows a typical driver-vehicle interaction model. Driver behavior modeling involves creating mathematical, computational, or simulation-based representations of how drivers respond to various driving conditions, vehicle dynamics, and road environments. It is extensively utilized in the creation of safety systems, driverless cars, traffic simulations, and Advanced Driver Assistance Systems (ADAS). This study expands on earlier research on driver modeling [18] and novel developments in machine learning-based methodologies [22].