Urban Road Infrastructure Maintenance Planning with Application of Neural Networks

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 goa...

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Bibliographic Details
Published in:Complexity (New York, N.Y.) N.Y.), 2018-01, Vol.2018 (2018), p.1-10
Main Authors: Jajac, Nikša, Androjić, Ivica, Marović, Ivan, Hanák, Tomáš
Format: Article
Language:English
Subjects:
Asset management
Civil engineering
Decision making
Decision support systems
Economic activity
Infrastructure
Infrastructure (Economics)
International economic relations
Linear programming
Maintenance management
Neural networks
Pavement design
Preventive maintenance
Rehabilitation
Road construction
Road construction industry
Road maintenance
Roads & highways
Strategic management
Transportation planning
Urban areas
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Summary: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.
ISSN:1076-2787
1099-0526
DOI:10.1155/2018/5160417