Abstract: The Intelligent Traffic Monitoring and Control System (ITMCS) is a highly advanced solution designed to improve the efficiency, safety, and management of traffic flow in urban areas. This paper provides a detailed overview of the ITMCS, including its core components, operational principles, and the underlying technologies that enable its intelligent functionality. By integrating Artificial Intelligence (AI), Image Processing, Machine Learning (ML), Deep Learning (DL), Neural Networks, and Sensor-based Internet of Things (IoT), the ITMCS collects real-time traffic data, applies intelligent analysis, and makes informed decisions for effective traffic control and management. A comprehensive taxonomy of the different techniques employed within the ITMCS is presented, offering thorough explanations and examples for each method. Additionally, the paper explores the benefits and potential applications of the ITMCS, such as reducing traffic congestion, preventing accidents, and enhancing overall transportation systems. With its ability to revolutionize urban mobility and enhance citizens' quality of life, the ITMCS represents a significant advancement in traffic monitoring and control, leveraging the power of intelligent systems.

Traffic Light, Adaptive, Synchronization, Priority vehicles, Traffic congestion, Traffic signals.