Traffic Prediction

Traffic prediction refers to the process of estimating future traffic conditions based on current and historical data. It involves analyzing various factors such as traffic volume, speed, flow, road conditions, weather, and events to forecast congestion levels, travel times, and overall traffic patterns. Traffic prediction is commonly utilized in transportation planning, traffic management, and navigation systems to provide real-time updates and improve route efficiency. The goal is to enhance safety and reduce travel delays by anticipating congestion and enabling drivers or systems to make informed decisions. Various techniques, including statistical models, machine learning algorithms, and artificial intelligence, are employed to improve the accuracy and reliability of traffic predictions.