An article co-authored by Margarida Amândio and Manuel Parente, from the AI team at BUILT CoLAB, was accepted and published online in an open format, with the title “Intelligent planning of road pavement rehabilitation processes through optimization systems”.
This article will be edited in volume 5 of Elsevier’s “Transportation Engineering” magazine in September 2021, and has the following research topics:
• 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.
«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.»
The article was written in co-authorship with José Neves and is available for consultation on the Science Direct portal here.