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      Urban Road Infrastructure Maintenance Planning with Application of Neural Networks

      1 , 1 , 2 , 3
      Complexity
      Hindawi Limited

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          Abstract

          The maintenance planning within the urban road infrastructure management is a complex problem from both the management and technoeconomic aspects. The focus of this research is on decision-making processes related to the planning phase during management of urban road infrastructure projects. The goal of this research is to design and develop an ANN model in order to achieve a successful prediction of road deterioration as a tool for maintenance planning activities. Such a model is part of the proposed decision support concept for urban road infrastructure management and a decision support tool in planning activities. The input data were obtained from Circly 6.0 Pavement Design Software and used to determine the stress values (560 testing combinations). It was found that it is possible and desirable to apply such a model in the decision support concept in order to improve urban road infrastructure maintenance planning processes.

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          The use of artificial neural networks for modeling air void content in aggregate mixture

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            Decision-Making Problem for Managing Pavement Maintenance and Rehabilitation Projects

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              Pavement rehabilitation and maintenance prioritization of urban roads using fuzzy logic

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                Author and article information

                Journal
                Complexity
                Complexity
                Hindawi Limited
                1076-2787
                1099-0526
                May 29 2018
                May 29 2018
                : 2018
                : 1-10
                Affiliations
                [1 ]Faculty of Civil Engineering, University of Rijeka, Radmile Matejčić 3, 51000 Rijeka, Croatia
                [2 ]Faculty of Civil Engineering, Architecture and Geodesy, University of Split, Matice hrvatske 15, 21000 Split, Croatia
                [3 ]Faculty of Civil Engineering, Brno University of Technology, Veveri 95, 602 00 Brno, Czech Republic
                Article
                10.1155/2018/5160417
                1f02b46a-ab62-4f7f-ba9b-643dea3211c6
                © 2018

                http://creativecommons.org/licenses/by/4.0/

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