Traffic Prediction and Management Systems play a vital role in enhancing the efficiency, safety, and sustainability of urban transportation networks. This paper presents a comprehensive review of various components, technologies, challenges, and advancements in Traffic Prediction and Management System. The research explores the integration of artificial intelligence, IoT, and data analytics in traffic management, highlighting their impact on congestion reduction, accident prevention, and environmental sustainability. Additionally, it discusses the future directions and potential avenues for further research in this domain.

KEYWORDS:

impact on congestion reduction, accident prevention,               and        environmental sustainability,Traffic Flow

Congestion Management,Real-Time Monitoring, Smart Traffic Lights,Adaptive Traffic Control, Traffic Simulation.