Traffic congestion is a growing concern in urban areas around the world, resulting in in- creased travel time, decreased productivity, and negative environmental impacts. To address this problem, various strategies, such as Intelligent Transportation Systems (ITS) and Advanced Traveler Information Systems (ATIS), have been proposed and implemented. This project aims to analyze the impact of these strategies on reducing traffic congestion and to evaluate the effec- tiveness of different traffic congestion mitigation approaches. A comprehensive literature review was conducted to provide an overview of previous studies and their findings on this topic and to identify areas for further research. The project provides practical solutions to reduce traffic congestion in urban areas, and reduce traffic congestion for Saudi government sectors using the application of predictive modeling based on schedule, it contributes to the development of more effective and sustainable approaches to address the traffic problem.