Real-time smartphone telemetry and historical patterns feed Google Maps traffic predictions. The system applies machine learning to these datasets to estimate travel times and congestion. This specific integration of crowdsourced data and AI allows for dynamic routing. It remains a standard implementation of predictive modeling for navigation tools.