New algorithms from Google AI Research optimize vehicle routing to minimize urban gridlock. The team focused on collaborative decision-making between autonomous agents to prevent bottlenecking. This theoretical approach prioritizes system-wide efficiency over individual travel times. Practitioners can apply these findings to improve city-scale traffic management systems and reduce idling.