Autonomous navigation system based on a dynamic access control architecture for the internet of vehicles.

The Internet of Vehicles (IoV) ability to monitor the surrounding environment promotes autonomous activities like determining a trajectory and responding accordingly. Security and transportation are vital components of today's technology-driven society. In addition to search and rescue, it may also be used for planetary exploration and material management. So, the Internet of Vehicles must drive independently in various dynamic situations. Unlocking the potential of the IoV navigation process, a dynamic access control architecture-based autonomous navigation system is proposed. It can perform assigned tasks while also reacting quickly to unexpected situations. The efficiency of AI-based IoV navigation is compared and studied using autonomous decision control systems. [Display omitted] [ABSTRACT FROM AUTHOR]