Urban Road Infrastructure Maintenance Planning with Application of Neural Networks
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F18%3APU128087" target="_blank" >RIV/00216305:26110/18:PU128087 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.hindawi.com/journals/complexity/2018/5160417/" target="_blank" >https://www.hindawi.com/journals/complexity/2018/5160417/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1155/2018/5160417" target="_blank" >10.1155/2018/5160417</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Urban Road Infrastructure Maintenance Planning with Application of Neural Networks
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Urban Road Infrastructure Maintenance Planning with Application of Neural Networks
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
20101 - Civil engineering
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
COMPLEXITY
ISSN
1076-2787
e-ISSN
1099-0526
Svazek periodika
neuveden
Číslo periodika v rámci svazku
2018
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
10
Strana od-do
1-10
Kód UT WoS článku
000434857800001
EID výsledku v databázi Scopus
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