Model for Predicting Traffic Signs Functional Service Life – The Republic of Croatia Case Study
Traffic signs are the basic elements of communication between the relevant road authorities and road users. They manage, regulate, inform and warn road users to ensure their safe movement throughout transport networks. Traffic signs must be timely visible to all traffic participants in all weather a...
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Format: | Article |
Language: | English |
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University of Zagreb, Faculty of Transport and Traffic Sciences
2017-06-01
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Series: | Promet (Zagreb) |
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Online Access: | https://traffic.fpz.hr/index.php/PROMTT/article/view/2247 |
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author | Dario Babić Darko Babić Dragana Macura |
author_facet | Dario Babić Darko Babić Dragana Macura |
author_sort | Dario Babić |
collection | DOAJ |
description | Traffic signs are the basic elements of communication between the relevant road authorities and road users. They manage, regulate, inform and warn road users to ensure their safe movement throughout transport networks. Traffic signs must be timely visible to all traffic participants in all weather and traffic conditions in order to fulfil their function, which means they must have satisfactory retroreflection properties. This paper presents a research of the deterioration of traffic signs retroreflection. The aim of this article is to develop models that will effectively enable predicting the retroreflection of traffic signs and thus optimize the maintenance activities and replacement of road signs to increase road safety. The research included measurements of retroreflection of retroreflective material Classes I and II (white, red and blue colour) and Class III (red and yellow colour). Based on the collected data from the City of Zagreb (Republic of Croatia), the authors developed the models to estimate the functional service life of certain colours and materials used to make traffic signs. Considering that the average coefficient of determination for all the models is between 0.55-0.60, they present an effective tool in the traffic sign maintenance system. |
first_indexed | 2024-12-12T01:27:57Z |
format | Article |
id | doaj.art-1e5ea2c2d5d44c83903d61d92d59d95f |
institution | Directory Open Access Journal |
issn | 0353-5320 1848-4069 |
language | English |
last_indexed | 2024-12-12T01:27:57Z |
publishDate | 2017-06-01 |
publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
record_format | Article |
series | Promet (Zagreb) |
spelling | doaj.art-1e5ea2c2d5d44c83903d61d92d59d95f2022-12-22T00:43:02ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692017-06-0129334334910.7307/ptt.v29i3.22472247Model for Predicting Traffic Signs Functional Service Life – The Republic of Croatia Case StudyDario Babić0Darko Babić1Dragana Macura2Faculty of Transport and Traffic SciencesFaculty of Transport and Traffic Sciences, University of Zagreb, CroatiaFaculty of Transport and Traffic Engineering, University of Belgrade, SerbiaTraffic signs are the basic elements of communication between the relevant road authorities and road users. They manage, regulate, inform and warn road users to ensure their safe movement throughout transport networks. Traffic signs must be timely visible to all traffic participants in all weather and traffic conditions in order to fulfil their function, which means they must have satisfactory retroreflection properties. This paper presents a research of the deterioration of traffic signs retroreflection. The aim of this article is to develop models that will effectively enable predicting the retroreflection of traffic signs and thus optimize the maintenance activities and replacement of road signs to increase road safety. The research included measurements of retroreflection of retroreflective material Classes I and II (white, red and blue colour) and Class III (red and yellow colour). Based on the collected data from the City of Zagreb (Republic of Croatia), the authors developed the models to estimate the functional service life of certain colours and materials used to make traffic signs. Considering that the average coefficient of determination for all the models is between 0.55-0.60, they present an effective tool in the traffic sign maintenance system.https://traffic.fpz.hr/index.php/PROMTT/article/view/2247traffic signsretroreflectiontraffic sign degradationfunctional service life |
spellingShingle | Dario Babić Darko Babić Dragana Macura Model for Predicting Traffic Signs Functional Service Life – The Republic of Croatia Case Study Promet (Zagreb) traffic signs retroreflection traffic sign degradation functional service life |
title | Model for Predicting Traffic Signs Functional Service Life – The Republic of Croatia Case Study |
title_full | Model for Predicting Traffic Signs Functional Service Life – The Republic of Croatia Case Study |
title_fullStr | Model for Predicting Traffic Signs Functional Service Life – The Republic of Croatia Case Study |
title_full_unstemmed | Model for Predicting Traffic Signs Functional Service Life – The Republic of Croatia Case Study |
title_short | Model for Predicting Traffic Signs Functional Service Life – The Republic of Croatia Case Study |
title_sort | model for predicting traffic signs functional service life the republic of croatia case study |
topic | traffic signs retroreflection traffic sign degradation functional service life |
url | https://traffic.fpz.hr/index.php/PROMTT/article/view/2247 |
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