Skip to main content

Research Repository

Advanced Search

An approach to produce a GIS database for road surface monitoring

Fendi, Karwan Ghazi; Adam, Sarhat Mustafa; Kokkas, Nikolaos; Smith, Martin John


Karwan Ghazi Fendi

Sarhat Mustafa Adam

Nikolaos Kokkas

Martin John Smith


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.


Fendi, K. G., Adam, S. M., Kokkas, N., & Smith, M. J. (in press). An approach to produce a GIS database for road surface monitoring. .

Conference Name 2nd International Conference on Civil Engineering (ICCEN 2013)
End Date Dec 14, 2013
Acceptance Date Sep 14, 2013
Online Publication Date Sep 9, 2014
Deposit Date Jul 19, 2016
Publicly Available Date Jul 19, 2016
Journal APCBEE Procedia
Print ISSN 2212-6708
Electronic ISSN 22126708
Peer Reviewed Peer Reviewed
Volume 9
Keywords Road Surface Monitoring, Gis Database, Geo-Tagging
Public URL
Publisher URL
Additional Information Published in: APCBEE Procedia 9, 2014. ISSN: 2212-6708. pp. 235-240, doi:10.1016/j.apcbee.2014.01.042


1-s2.0-S2212670814000438-main.pdf (978 Kb)

Copyright Statement
Copyright information regarding this work can be found at the following address:

You might also like

Downloadable Citations