An innovative traffic sign detector (TSD) system has been developed. Using a Convolutional Neural Network (CNN) trained on a large dataset of annotated traffic sign images, this system combines state of the art technology. The ability to recognize, classify, and localize traffic signs in images and videos allows for better decision making in road safety and traffic control matters. Its adaptive learning mechanisms and domain adaptation strategies allow generalization of the system in various environmental conditions ensuring consistent performance and reliability in real-time scenarios. The role in road safety and traffic management is immense: increasing awareness and compliance of drivers, supporting intelligent traffic management systems to reduce accidents and improve traffic flow. In parallel, autonomous technologies and V2X communication combine to refine traffic flow dynamics. Work on robust theoretical models and novel algorithmic frameworks for autonomous traffic management. The idea is to combine this with next generation V2X communication to create a vehicle—infrastructure communication environment where vehicles communicate with each other and with the infrastructure to improve traffic coordination, congestion reduction and road safety. Extreme simulation-based analyses of proposed systems in dynamic traffic scenarios are performed to evaluate their adaptability and performance in terms of real-time data exchange, predictive analytics and unforeseen events. Ethical questions, data privacy questions, and broader social implications form part of this research. With cars communicating with vehicles and their surroundings, ethical and privacy concerns must be addressed for a responsible and secure implementation of these technologies. It offers insights into the current discourse regarding intelligent traffic control systems aiming at driving the design and implementation of sophisticated traffic management solutions for a safer, more optimized, and ethically sound urban mobility ecosystem. The ultimate vision is a future in which autonomous technologies and V2X communication reshape urban transport dynamics.