—Preprpint Version— This paper presents a theoretical framework derived from a funded European Commission proposal for enhancing urban mobility systems through antifragile principles. While urban mobility systems increasingly face unprecedented challenges due to interconnected crises, this proposed framework aims to enable systems to improve through disruptions rather than merely recover from them. The framework, scheduled to begin implementation in May 2025, proposes to combine real-time monitoring, adaptive decision support, and machine learning. Planned validation will occur across three European cities, Larissa, Odessa, and Bratislava, pending final agreementsand implementation. All results and improvements discussed in this paper are projections based on preliminary simulations and theoretical analysis. Expected outcomes, subject to realworld validation, include potential improvements in accident rates, system resilience, and public engagement in urban mobility planning.