Intelligent Traffic

Intelligent traffic systems aim to optimize traffic flow and safety using advanced technologies. Current research focuses on developing robust algorithms, including deep learning and reinforcement learning, to address challenges like traffic signal malfunctions, accurate license plate recognition, and efficient navigation around dynamic roadblocks. These advancements leverage diverse data sources, such as camera images (including fisheye lenses) and vehicle sensor data, to improve real-time traffic management and accident detection. The ultimate goal is to create safer, more efficient, and sustainable transportation networks through data-driven decision-making.