New algorithms from Google AI Research target the reduction of urban traffic congestion. The team explores how collaborative routing decisions minimize systemic delays rather than individual travel times. This theoretical approach shifts focus from selfish navigation to social optimums. Practitioners can use these findings to optimize city-wide traffic management systems and reduce gridlock.