An approach to produce a GIS database for road surface monitoring

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/736753
Additional Information: Published in: APCBEE Procedia 9, 2014. ISSN: 2212-6708. pp. 235-240, doi:10.1016/j.apcbee.2014.01.042
Keywords: Road Surface Monitoring, Gis Database, Geo-Tagging
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
Identification Number: 10.1016/j.apcbee.2014.01.042
Depositing User: Mellor, Alison
Date Deposited: 19 Jul 2016 09:48
Last Modified: 04 May 2020 16:54
URI: https://eprints.nottingham.ac.uk/id/eprint/35038

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