An advanced pavement management system based on a genetic algorithm for a motorway network
| Autor: | G Di Mino, F Di Noto, Maria Rosaria De Blasiis, Silvia Noto |
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| Přispěvatelé: | Y. Tsompanakis, Di Mino, G, DE BLASIIS, Maria Rosaria, Di Noto, F, Noto, S., De Blasiis, MR, Noto, S |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Mathematical optimization
multi-objective optimization Computer science pavement management system Genetic algorithm Pavement management genetic algorithm Settore ICAR/04 - Strade Ferrovie Ed Aeroporti pavement management system genetic algorithm multi-objective optimization Multi-objective optimization |
| Zdroj: | Scopus-Elsevier |
| Popis: | Maintenance and improvement, through the rehabilitation, of the road infrastructure is a strategic and priority objective for road agencies, nevertheless the economic resources required are often inadequate. Within road management, the pavement management system (PMS) plays an essential role because of both the money needed and the performance that should be provided in terms of safety, ride quality and transport cost. The PMS is based on searching for a balanced solution between the lowest cost and the increased level of performance (i.e. pavement condition). In this paper a PMS multi-objective optimization method, was proposed, using a genetic algorithm (GA) to identify the best solution considering different rehabilitation strategies. The multi-objective optimization GA permits a set of optimal solutions (the Pareto solution set) that takes into account all the considered constraints. Finally on the basis of a specific criteria the best solution was selected in relation to the ranking of the priorities of the agency. A detailed numerical study was conducted on the Italian A18 motorway and the results showed that the proposed model PMS-GA is a suitable support to the decision making process. |
| Databáze: | OpenAIRE |
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