New algorithms from Google AI Research optimize vehicle routing to minimize urban gridlock. The study focuses on collaborative decision-making between autonomous agents to prevent bottlenecking. This theoretical framework improves flow efficiency over traditional selfish routing. Practitioners can apply these coordination principles to refine real-time traffic management systems in smart cities.