The article discusses how cities like Raleigh, North Carolina, and Detroit, Michigan, are implementing artificial intelligence (AI) systems to optimize traffic signal timing and reduce commute times. The AI algorithms analyze real-time traffic data from cameras and sensors to adjust signal patterns based on current conditions. In Raleigh, the system has reduced travel times by 25% on some corridors. Detroit is also implementing a similar system, aiming to improve traffic flow and reduce emissions. The AI systems can adapt to unexpected events like accidents or road closures, and continuously learn and improve over time. However, the article notes that the technology is still new and may require fine-tuning. Overall, the use of AI in traffic management shows promise in improving urban mobility and reducing congestion.