L3 autonomy represents a significant advancement in self-driving technology, paving the way for fully autonomous vehicles. The significance of this research is rooted in its identification of substantial opportunities for further exploration in the domain of autonomous vehicle technology. L3 autonomous driving requires a 'handover' of control from the vehicle to the driver under certain circumstances, which is critical for ensuring safety and reliability. The foremost challenge for L3 autonomous vehicles is ensuring a seamless transition of control between the human driver and the autonomous system. This requires developing a robust and reliable takeover request strategy that accurately accounts for driver performance and experience during all takeover phases. Enhancing safety and improving the driving experience would build trust in technology. This paper addresses current challenges and sets the foundation for future research by proposing an advanced personalized framework for driver takeovers. This framework aims to improve the reliability and safety of control transitions between human drivers and autonomous systems. Additionally, it provides a structured methodology for future studies to build upon, ultimately contributing to the broader adoption and enhancement of autonomous driving technologies.