With the development and progress of human societies and in order to increase the stability and comfort of vehicle occupants as well as to improve traffic safety and security, the use of intelligent vehicle/driver safety systems has grown significantly. Over the past decade, active safety technology (AST) has been developed to help the driver avoid accidents or reduce the risk. These technologies are used when the driver makes the wrong reaction or is unable to control the situation. For active safety technology systems to be effective, a driver model that can model all the driver's behavior is needed. This driver model must be designed based on the inherent limitations of the driver and the vehicle. In the first part, the vehicle safety systems, which include active and passive safety systems, are briefly introduced, focusing on active safety systems, and the growing momentum and impact of these systems in increasing vehicle safety, preventing accidents, optimal traffic management, and comfort of vehicle occupants are introduced. Finally, the latest example of these systems, which includes examining driver behavior and modeling, is presented. Then, the history and types of driver models used in vehicles are introduced, along with the working fields, goals, and impacts of these models in the automotive and traffic industries. And in the final part, the control methods used in the project, which include optimal control theory and PID, are practically expressed. The results show that by using the driver model controller and intelligent active transportation systems, the safety of vehicle occupants can be significantly increased in road conditions. © 2025, Ecozone, OAIMDD. All rights reserved.