<p>The development of advanced simulation and decision-making models presents an opportunity to enhance the assessment of infrastructure projects. This study aims to improve Pavement Management Systems (PMS) by incorporating data from Traffic Management Systems (TMS). The methodology uses TMS data to calculate fuel consumption resulting from traffic disruptions caused by maintenance actions. The proposed multi-objective optimization framework aims to minimize maintenance costs, pavement degradation, and fuel consumption. This framework employs a bottom-up approach for system-level optimization, serving as a decision-making tool for road networks that account for the stochastic dynamics of the network. The findings indicate that including fuel consumption as an objective in the optimization model alters decision outcomes and reduces the variability of decision policies.</p>