Machine learning in traffic systems leverages data-driven algorithms to optimize traffic flow, reduce congestion, and enhance road safety by predicting and responding to real-time traffic conditions. By analyzing vast amounts of data from various sources such as sensors, cameras, and GPS devices, these systems can dynamically adjust traffic signals, provide route recommendations, and even predict potential accidents.