Autonomous Traffic Systems: AI in the Age of Self-Regulating Cities
The way cities move is changing faster than ever. For decades, traffic management relied on rigid systems: fixed schedules for public transport, manually programmed traffic lights, and human operators reacting to congestion after it occurred. These methods worked in the past, but in a world of millions of daily data points —from GPS devices, sensors, and connected vehicles— they are no longer enough. Artificial intelligence is now enabling a fundamental shift toward autonomous traffic systems, where the city learns to regulate its own circulation. At…

Ingeniero de telecomunicaciones, ha cursado un master en tecnologías para Smart Cities y es diplomado en administración de empresas. Actualmente dirige el Instituto IDHUS y coordina todos sus proyectos y actividades.





