The Barcelona City Council and the Polytechnic University of Catalonia (UPC) have signed an agreement to study how artificial intelligence (AI) can improve the management of the city's traffic lights and, at the same time, reduce traffic congestion, optimize mobility, and minimize environmental impact. The study, led by the Barcelona School of Civil Engineering, in collaboration with the Center for Research and Technology Hellas in Greece, a member of the European Living Labs (EnoLL) network, will be structured in four phases. The first phase will consist of evaluating the current state of the city's traffic light system and the relationships between the different mobility stakeholders, with the aim of identifying the potential and limitations of applying AI. The second phase will analyze traffic control strategies and technologies already being used worldwide to improve vehicle flow, especially in public transportation. Based on this diagnosis, proposals adapted to the Barcelona context will be designed, grounded in the principles of the Urban Mobility Plan: efficiency, environmental sustainability, quality of life, and transparency in the use of artificial intelligence. Finally, the project will culminate in the development of a roadmap with specific actions for different parts of the city, both in the short and long term.