A multi-objective optimization approach for sustainable pavement management

To address the multidimensional challenges involved in advancing the sustainability of pavement systems, this study developed a multi-objective optimization framework that hosts a comprehensive and integrated pavement life cycle costs-life cycle assessment model that covers the whole pavement's life cycle, from the extraction and production of materials to construction and maintenance, transportation of materials, work-zone traffic management, usage and end-of-life. Specifically, the model was applied to investigate, from a full life cycle perspective, the extent to which several pavement engineering solutions are efficient in improving the environmental and economic dimensions of pavement sustainability, when applied in the management of a road pavement section. Multiple bi-objective optimization analysis considering accordingly agency costs, user costs and greenhouse gas emissions were conducted based on a multi-objective genetic algorithm. Pareto fronts were obtained for each analysis, originating a set of non-dominated maintenance and rehabilitation solutions. Posteriorly, a multi criteria decision analysis method was used to find the best compromise solution for pavement management.