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A Novel Processing Methodology for Traffic-Speed Road Surveys Using Point Lasers

Li, W; Burrow, M; Metje, N; Tao, Y; Ghataora, G; (2019) A Novel Processing Methodology for Traffic-Speed Road Surveys Using Point Lasers. IEEE Transactions on Intelligent Transportation Systems , 22 (1) pp. 307-318. 10.1109/tits.2019.2957238. Green open access

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Abstract

The rapidly increasing traffic volumes using local road networks allied to the implications of climate change drive the demand for cost-effective, reliable and accurate road condition assessment. A particular concern for local road asset managers is the loss of material from the road surface known as fretting which unchecked can lead to potholes. In order to assess the road condition quantitatively and affordably, a system should be designed with low complexity, be capable of operating in a variety of weather conditions and operate at normal traffic-speeds. Many different techniques have been developed for road condition assessment such as ground penetrating radar, visual sensors and mobile scanning lasers. In this work, the use of the point laser technique for scanning the road surface is investigated. It has the advantages of being sufficiently accurate, is relatively unaffected by levels of illumination and it produces relatively low volumes of data. In this work, road fretting/surface disintegration was determined using a novel signal processing approach which considers a number of features of reflected laser signals. The proposed methodology was demonstrated using data collected from the UK's local road network. The experimental results indicate that the proposed system can assess road fretting to an accuracy which is comparable to a visual inspection, and at Information Quality Level (IQL) 3 which is sufficient for tactical road asset management whereby road sections requiring treatment are selected and appropriate treatments identified.

Type: Article
Title: A Novel Processing Methodology for Traffic-Speed Road Surveys Using Point Lasers
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tits.2019.2957238
Publisher version: https://doi.org/10.1109/TITS.2019.2957238
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Road condition assessment, point laser, signal processing, peak detection
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/10090819
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