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Building digital twins of existing highways using map data based on engineering expertise

Jiang, F; Ma, L; Broyd, T; Chen, W; Luo, H; (2022) Building digital twins of existing highways using map data based on engineering expertise. Automation in Construction , 134 , Article 104081. 10.1016/j.autcon.2021.104081.

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Abstract

Highway asset management requires capturing the highway's status. However, the onsite survey of the highway is very costly and time-consuming. This paper presents a novel approach for creating the digital twin of a highway using map data. The digital twin consists of primary highway components, including horizontal alignment, vertical alignment, cross-section, lanes and central reserves. It follows the engineering representation of a highway, which has excellent potential for further application in the field. The proposed approach was tested in a section of the A1(M) motorway in the UK. It requires minimum human input and has very high accuracy. Despite many outliers in the collected map data, the average vertical deviation per square metre between the surface of the generated digital twin and the actual data was at the centimetre level.

Type: Article
Title: Building digital twins of existing highways using map data based on engineering expertise
DOI: 10.1016/j.autcon.2021.104081
Publisher version: https://doi.org/10.1016/j.autcon.2021.104081
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: Digital twin, Highway engineering, Alignment fitting, Cross-section, Map, Point clouds, Arial photograph
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10140121
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