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Application of an Artificial Neural Network in Pavement Management System

Josipa Domitrović ; Faculty of Civil Engineering of University of Zagreb, Kačićeva 26, 10000 Zagreb, Croatia
Hrvoje Dragovan orcid id ; RDC d.o.o., Trg Lava Mirskog 1/3, 31000 Osijek, Croatia
Tatjana Rukavina ; Faculty of Civil Engineering of University of Zagreb, Kačićeva 26, 10000 Zagreb, Croatia
Sanja Dimter ; J. J. Strossmayer University of Osijek, Faculty of Civil Engineering, Vladimira Preloga 3, 31000 Osijek, Croatia

Puni tekst: engleski pdf 1.389 Kb

str. 466-473

preuzimanja: 1.568



The era of intensive construction of new roads in Croatia is behind us. Today road agencies are focused on maintaining and preserving existing roads. Selection of an appropriate maintenance strategy is a complex task, which includes factors such as the current condition of the pavement, road classification, traffic volume etc. These factors are usually implemented in pavement management systems. The key components of pavement management systems are pavement performance prediction models such as artificial neural networks. This paper analyses the possibility of using artificial neural networks to evaluate existing pavement condition, and its possible application for defining the maintenance strategy of national roads. A backpropagation neural network was applied on 481.3 km of national roads in the Osijek-Baranja County. The obtained results indicated that artificial neural networks could be used for optimization of maintenance or rehabilitation strategies, and for the assessment of pavement condition at the project and network level.

Ključne riječi

artificial neural network, backpropagation algorithm, pavement maintenance, pavement management system

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Posjeta: 2.581 *