Pavement maintenance planning is increasingly influenced by the need to incorporate sustainability criteria into decision-making processes, balancing economic, environmental, and social dimensions. This study addresses the challenge of optimizing maintenance interventions while accounting for the practical limitations often encountered in real-world contexts, such as resource availability, operational coordination, and budgetary restrictions. Specifically, a set of consistency constraints—derived from observed practices and operational requirements—was integrated into a sustainable optimization framework to ensure realistic and implementable solutions. The proposed approach was applied to several maintenance scheduling scenarios to evaluate the impact of these constraints on the overall performance of the maintenance plan. Results indicate that incorporating consistency constraints not only preserves the feasibility of implementation but also enhances the efficiency, robustness, and realism of maintenance strategies. The main contribution of this work is the demonstration that practical considerations can be systematically embedded into sustainability-driven maintenance planning without compromising optimization outcomes, thereby bridging the gap between theoretical models and actual decision-making in pavement management systems.