APPLICATION OF ARTIFICIAL NEURAL NETWORK WITHIN PAVEMENT MANAGEMENT SYSTEM

3rd International Conference on Road and Rail Infrastructure (CETRA 2014)

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Field Value
 
Title APPLICATION OF ARTIFICIAL NEURAL NETWORK WITHIN PAVEMENT MANAGEMENT SYSTEM
 
Creator Hrvoje Dragovan
Tatjana Rukavina; University of Zagreb Faculty of Civil Engineering Department for Transportation
Josipa Domitrovic; University of Zagreb Faculty of Civil Engineering Department for Transportation
 
Subject artificial neural network, pavement management system, backpropagation algorithm, pavement maintenance
 
Description The era of intensive construction of new roads is behind us, and now road agencies are focused on maintaining and preserving existing pavement surfaces. As they are faced with limited funds for maintenance, it is important to best utilize resources by selecting the best maintenance strategy. Selection of an appropriate maintenance strategy is a complex task which includes factors such as current condition of the pavement, road classification, traffic volume and type of pavement distress. These factors can be automated and implemented in pavement management systems to achieve a standardised approach to road pavement assessment and management. One of the key components of pavement management systems are pavement performance prediction models, which simulate the pavement deterioration process and forecast its condition over time. One such model is the artificial neural network. This paper analyzes the possibility of using artificial neural networks in pavement management systems to evaluate existing pavement condition, and its possible application for defining the maintenance strategy of state roads. A backpropagation algorithm was applied on 481.3 km of state roads in Osijek-Baranja County, which represents 7% of total length of the national road network in Croatia. The obtained results indicated that artificial neural networks can be used for optimization of maintenance or rehabilitation strategies, and for assessment
of pavement condition at the project and network level.
 
Publisher CETRA 2014
 
Contributor
 
Date 2017-02-28 16:47:11
 
Type Peer-reviewed Paper
 
Identifier http://master.grad.hr/cetra/ocs/index.php/cetra3/cetra2014/paper/view/439
 
Source CETRA 2014; 3rd International Conference on Road and Rail Infrastructure
 
Language en
 
Rights <p>Authors who submit to this conference agree to the following terms:<br /> <strong>a)</strong> Authors retain copyright over their work, while allowing the conference to place this unpublished work under a <a href="http://creativecommons.org/licenses/by/3.0/">Creative Commons Attribution License</a>, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference. <br /> <strong>b)</strong> Submitted full papers will be published in the book of proceedings "Road and Rail Infrastructure II" as well as in digital form (on a CD). Conference organiser is allowed to publish author's names, institution and country as well as the paper abstract on the conference web site.</p>
 

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