An approach to produce a GIS database for road surface monitoring

Road Surface Monitoring (RSM) is the process of detecting the distress on paved or unpaved road surfaces. The primary aim of this process is to detect any distress (such as road surface cracks) at early stages in order to apply maintenance on time. Early detection of road cracks can assist maintenan...

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Main Authors: Fendi, Karwan Ghazi, Adam, Sarhat Mustafa, Kokkas, Nikolaos, Smith, Martin John
Format: Conference or Workshop Item
Published: 2014
Subjects:
Online Access:https://eprints.nottingham.ac.uk/35038/
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author Fendi, Karwan Ghazi
Adam, Sarhat Mustafa
Kokkas, Nikolaos
Smith, Martin John
author_facet Fendi, Karwan Ghazi
Adam, Sarhat Mustafa
Kokkas, Nikolaos
Smith, Martin John
author_sort Fendi, Karwan Ghazi
building Nottingham Research Data Repository
collection Online Access
description Road Surface Monitoring (RSM) is the process of detecting the distress on paved or unpaved road surfaces. The primary aim of this process is to detect any distress (such as road surface cracks) at early stages in order to apply maintenance on time. Early detection of road cracks can assist maintenance before the repair costs becomes too high. Local authorities should have an effective and easy to use monitoring process in place across the road network to meet their obligations. The process of adding geographical identification metadata to the photos is called “Geo-tagging”. The proposed method in this work entails capturing GPS information when the photo is taken for the road surface distress, then attaching the photo to a map. The location disclosure in the act of geo-tagging of a photo provides qualities to the digital map. In that respect, a specific richness of the GIS dataset arises when they disclose the road surface distress photos. This paper proposes a system for establishing a GIS database consisting of geo-tagged photos for local authorities to automate the process of recording and reporting road surface distresses. This system is easy to use, cost-effective, deployable, and can be used effectively by local authorities.
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format Conference or Workshop Item
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institution University of Nottingham Malaysia Campus
institution_category Local University
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publishDate 2014
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spelling nottingham-350382020-05-04T16:54:24Z https://eprints.nottingham.ac.uk/35038/ An approach to produce a GIS database for road surface monitoring Fendi, Karwan Ghazi Adam, Sarhat Mustafa Kokkas, Nikolaos Smith, Martin John Road Surface Monitoring (RSM) is the process of detecting the distress on paved or unpaved road surfaces. The primary aim of this process is to detect any distress (such as road surface cracks) at early stages in order to apply maintenance on time. Early detection of road cracks can assist maintenance before the repair costs becomes too high. Local authorities should have an effective and easy to use monitoring process in place across the road network to meet their obligations. The process of adding geographical identification metadata to the photos is called “Geo-tagging”. The proposed method in this work entails capturing GPS information when the photo is taken for the road surface distress, then attaching the photo to a map. The location disclosure in the act of geo-tagging of a photo provides qualities to the digital map. In that respect, a specific richness of the GIS dataset arises when they disclose the road surface distress photos. This paper proposes a system for establishing a GIS database consisting of geo-tagged photos for local authorities to automate the process of recording and reporting road surface distresses. This system is easy to use, cost-effective, deployable, and can be used effectively by local authorities. 2014-09-09 Conference or Workshop Item PeerReviewed Fendi, Karwan Ghazi, Adam, Sarhat Mustafa, Kokkas, Nikolaos and Smith, Martin John (2014) An approach to produce a GIS database for road surface monitoring. In: 2nd International Conference on Civil Engineering (ICCEN 2013), 13-14 Dec 2013, Stockholm, Sweden. Road Surface Monitoring Gis Database Geo-Tagging http://www.sciencedirect.com/science/article/pii/S2212670814000438 10.1016/j.apcbee.2014.01.042 10.1016/j.apcbee.2014.01.042 10.1016/j.apcbee.2014.01.042
spellingShingle Road Surface Monitoring
Gis Database
Geo-Tagging
Fendi, Karwan Ghazi
Adam, Sarhat Mustafa
Kokkas, Nikolaos
Smith, Martin John
An approach to produce a GIS database for road surface monitoring
title An approach to produce a GIS database for road surface monitoring
title_full An approach to produce a GIS database for road surface monitoring
title_fullStr An approach to produce a GIS database for road surface monitoring
title_full_unstemmed An approach to produce a GIS database for road surface monitoring
title_short An approach to produce a GIS database for road surface monitoring
title_sort approach to produce a gis database for road surface monitoring
topic Road Surface Monitoring
Gis Database
Geo-Tagging
url https://eprints.nottingham.ac.uk/35038/
https://eprints.nottingham.ac.uk/35038/
https://eprints.nottingham.ac.uk/35038/