Abstract :

Traffic congestion is a growing problem in cities due to the increasing number of vehicles. Most traditional traffic signal systems work with fixed time settings and do not change based on actual traffic conditions. This often results in unnecessary delays and traffic jams. To address this issue, this project presents a Cloud-Based Adaptive Traffic Signal System using Amazon Web Services (AWS). The proposed system collects real-time traffic data from sensors placed at road intersections. This data is processed using AWS services such as Amazon EC2, AWS IoT Core, AWS Lambda, and Amazon DynamoDB to control traffic signal timings according to traffic density. AWS CloudWatch is used to monitor system performance, and AWS IAM helps maintain secure access to the system. By adjusting traffic signals based on real-time traffic conditions, the system helps reduce waiting time and improve traffic flow. The cloudbased design makes the system scalable, reliable, and suitable for use in smart city