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Application of an Artificial Neural Network in Pavement Management System (CROSBI ID 254807)

Prilog u časopisu | prethodno priopćenje | međunarodna recenzija

Domitrović, Josipa ; Dragovan, Hrvoje ; Rukavina, Tatjana ; Dimter, Sanja Application of an Artificial Neural Network in Pavement Management System // Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 25 (2018), Supplement 2; 466-473. doi: 10.17559/TV-20150608121810

Podaci o odgovornosti

Domitrović, Josipa ; Dragovan, Hrvoje ; Rukavina, Tatjana ; Dimter, Sanja

engleski

Application of an Artificial Neural Network in Pavement Management System

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.

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

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Podaci o izdanju

25 (Supplement 2)

2018.

466-473

objavljeno

1330-3651

1848-6339

10.17559/TV-20150608121810

Povezanost rada

Građevinarstvo

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