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Urban Road Infrastructure Maintenance Planning with Application of Neural Networks
Joint Authors
Hanák, Tomáš
Marović, Ivan
Androjić, Ivica
Jajac, Nikša
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Marović, Ivan& Androjić, Ivica& Jajac, Nikša& Hanák, Tomáš. 2018. Urban Road Infrastructure Maintenance Planning with Application of Neural Networks. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1134544
Modern Language Association (MLA)
Marović, Ivan…[et al.]. Urban Road Infrastructure Maintenance Planning with Application of Neural Networks. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1134544
American Medical Association (AMA)
Marović, Ivan& Androjić, Ivica& Jajac, Nikša& Hanák, Tomáš. Urban Road Infrastructure Maintenance Planning with Application of Neural Networks. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1134544
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134544