Intelligent Transportation System

Intelligent Transportation Systems (ITS) aim to improve efficiency and safety in transportation networks through data-driven technologies. Current research heavily focuses on leveraging artificial intelligence, particularly deep learning models like YOLO for object detection and graph neural networks for traffic forecasting and optimization, along with federated learning to address data privacy concerns in distributed systems. These advancements are enabling real-time applications such as improved traffic signal control, autonomous vehicle navigation, and enhanced traffic monitoring, with significant implications for urban planning, resource management, and overall transportation sustainability.