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Application of an Artificial Neural Network in Pavement Management System
Tehnicki vjesnik - Technical Gazette, 25 (2018), Supplement 2; 466-473. https://doi.org/10.17559/TV-20150608121810
Domitrović, Josipa; Dragovan, Hrvoje; Rukavina, Tatjana; Dimter, Sanja

Institucijski repozitorij: Repozitorij Građevinskog fakulteta Sveučilišta u Zagrebu

Citirajte ovaj rad

Domitrović, J., Dragovan, H., Rukavina, T. i Dimter, S. (2018). Application of an Artificial Neural Network in Pavement Management System. Tehnicki vjesnik - Technical Gazette, 25. (Supplement 2), 466-473. doi: 10.17559/TV-20150608121810

Domitrović, Josipa, et al. "Application of an Artificial Neural Network in Pavement Management System." Tehnicki vjesnik - Technical Gazette, vol. 25, br. Supplement 2, 2018, str. 466-473. https://doi.org/10.17559/TV-20150608121810

Domitrović, Josipa, Hrvoje Dragovan, Tatjana Rukavina i Sanja Dimter. "Application of an Artificial Neural Network in Pavement Management System." Tehnicki vjesnik - Technical Gazette 25, br. Supplement 2 (2018): 466-473. https://doi.org/10.17559/TV-20150608121810

Domitrović, J., et al. (2018) 'Application of an Artificial Neural Network in Pavement Management System', Tehnicki vjesnik - Technical Gazette, 25(Supplement 2), str. 466-473. doi: 10.17559/TV-20150608121810

Domitrović J, Dragovan H, Rukavina T, Dimter S. Application of an Artificial Neural Network in Pavement Management System. Tehnicki vjesnik - Technical Gazette [Internet]. 2018. [pristupljeno 18.12.2024.];25(Supplement 2):466-473. doi: 10.17559/TV-20150608121810

J. Domitrović, H. Dragovan, T. Rukavina i S. Dimter, "Application of an Artificial Neural Network in Pavement Management System", Tehnicki vjesnik - Technical Gazette, vol. 25, br. Supplement 2, str. 466-473, 2018. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:237:247361. [Citirano: 18.12.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:237:247361
Podaci o radu
Naslov (engleski)Application of an Artificial Neural Network in Pavement Management System
AutorJosipa Domitrović
AutorHrvoje Dragovan
AutorTatjana Rukavina
AutorSanja Dimter
Autorova ustanovaSveučilište Josipa Jurja Strossmayera u Osijeku
Građevinski i arhitektonski fakultet Osijek
(Zavod za geotehniku, prometnice i geodeziju)
Autorova ustanovaSveučilište u Zagrebu
Građevinski fakultet
(Zavod za prometnice)
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Prometnice
Sažetak (engleski)
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 (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Prethodno/kratko priopćenje
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaTehnicki vjesnik - Technical Gazette
Brojčani podacivol. 25, br. Supplement 2, str. 466-473
p-ISSN1330-3651
e-ISSN1848-6339
DOIhttps://doi.org/10.17559/TV-20150608121810
URN:NBNurn:nbn:hr:237:247361
Datum objave publikacije2018
URL dokumentahttps://hrcak.srce.hr/205945
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-07-22 13:09:59