Foi aceite e publicado online, em formato aberto, um artigo da co-autoria de Margarida Amândio e Manuel Parente, da equipa de AI no BUILT CoLAB, com o título “Intelligent planning of road pavement rehabilitation processes through optimization systems”.
Este artigo, vai ser editado no volume 5 da revista “Transportation Engineering” da Elsevier em Setembro de 2021, e tem os seguintes tópicos de pesquisa:
• Road pavement rehabilitation comprises a complex set of multiple operations.
• Processes of road pavement rehabilitation can be optimized.
• An optimization system was developed to optimize durations and costs.
• The system was based on an evolutionary multi-objective approach (NSGA-II).
• The system effectively supports decision-making in planning pavement rehabilitation.
Resumo do Artigo:
«Pavement rehabilitation comprises a very time sensitive and complex set of operations. Not only does this type of construction typically rely on very expensive heavy mechanical equipment, it also usually involves closing lanes that will inevitably cause delays to users. Although there is an increasing interest in completing these rehabilitation interventions with the lowest costs and durations, the planning of this process is currently mostly based on experience. Thus, this paper focuses on developing an optimization system based on an evolutionary multi-objective approach, capable of supporting decision making in road pavement rehabilitation planning. The main contributions of this paper are two-fold. On the one hand, it tackles an identified research gap regarding the study of the viability and the gain associated with the implementation of multi-objective optimization in planning of pavement rehabilitation projects. On the other hand, a more practical contribution is related to the development of a system capable of supporting decision making throughout design phases. The capabilities of the system are validated in a real motorway pavement rehabilitation project. Results demonstrate the ability of the system to quickly output optimal solutions, that not only support decision making, but also enhance flexibility and efficiency from the decision-maker viewpoint. The optimization system is an important contribution to more intelligent and sustainable pavement engineering, by promoting the global optimization of technical, economic and environmental objectives.»
O artigo foi escrito em co-autoria com José Neves e está disponível para consulta no portal Science Direct aqui.
