The “Digital Brain” represents a groundbreaking AI-driven system poised to revolutionize urban transportation management. By integrating sensors, data analytics, and machine learning algorithms, this dynamic, self-regulating ecosystem can predict traffic patterns, respond to real-time conditions, and make autonomous decisions to enhance safety, reduce travel times, and minimize environmental impact. The chapter explores the Digital Brain's potential to improve efficiency and advance sustainable urban mobility by reducing carbon emissions and promoting electric and autonomous vehicles. However, it also critically examines the ethical and societal implications of algorithmic decision-making in traffic management, particularly in life-and-death scenarios, and considers issues of equity, accessibility, and potential job displacement. This comprehensive analysis offers a visionary perspective on the future of intelligent transportation, serving as an essential resource for urban planners, policymakers, AI researchers, and smart city developers navigating the complexities of integrating AI into transportation networks to shape a more connected, efficient, and sustainable future.