To make the traffic and routing predictions more accurate, Google Maps also uses machine learning and artificial intelligence to analyze the historical and real-time data. Machine learning is a branch of computer science that enables computers to learn from data and improve their performance without being explicitly programmed. Google Maps uses a machine learning architecture known as Graph Neural Networks, which can model complex relationships between data points, such as roads, intersections, and traffic signals. By using this technique, Google Maps can better understand how the traffic flow changes over time and space, and how it is affected by various factors, such as weather, accidents, road closures, or events. Google Maps can also use machine learning to suggest alternative routes that may be faster, safer, or more scenic than the usual ones.
