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Main road widening can reduce the clearance of the low-level underpass road, restricting the passage of vehicles and leading to collisions with structures. Therefore, checking the clearance of the underpass road effectively should be considered at the design stage. This paper describes a digital twin approach for checking the clearance of underpass roads in highway widening projects using online map data. The underpass road digital twin and BIM model of the newly widened road based on the existing main road digital twin are created to assist the clearance check and redesign. The proposed method presented a cost-effective clearance check for underpass roads in road widening design without field surveys and was successfully implemented in an underpass road in the UK. In future research, more digital twin methods for overpasses, bridges, tunnels, and traffic safety facilities should be employed comprehensively to assist more road widening applications. • A novel approach is presented to check the underpass road clearance in the road widening project. • A method for building road digital twins from online map data is proposed. • A systematic method for road widening based on the digital twin is proposed. • According to the clearance check, the underpass road can be redesigned to increase the insufficient clearance. [ABSTRACT FROM AUTHOR]

Building demolition caused by urban road widening projects can lead to engineering, economic, and environmental issues and should be planned at the design stage. Based on as-is BIM, this paper proposes a method to estimate the building demolition caused by urban road widening using online map data and statistics on government websites. The as-is BIM models of the existing old road and its surrounding buildings are created, and the BIM models of the newly widened road are built based on the as-is BIM models considering road components in accordance with road engineering expressions to assist building demolition estimation using clash detection. This paper presents a cost-effective building demolition estimation in urban road widening projects without field surveys. It was tested on the M4 Motorway project in London. It has been proved to be a very practical approach to facilitate urban road planning and decision making. • A workflow is developed based on as-is BIM to estimate building demolition caused by urban road widening. • Build road as-is BIM models by digital image processing, GIS data processing, and alignment fitting. • The road as-is BIM models are detachable and in accordance with expressions of engineering for further use. • Buildings' as-is BIM models along the target road can be created to reflect the impacts from the surroundings. • BIM models of roads and buildings are built from online map data and government statistics rather than field surveys. [ABSTRACT FROM AUTHOR]

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. • A systematic approach is proposed for making the digital twin of a highway based on map data and engineering expertise. • Spatial data for creating the digital twin can be extracted from low-resolution online map data using the proposed method. • An algorithm is developed to fit the horizontal and vertical alignment of a highway. • Outliers in the spatial data of a highway can be identified and removed using the proposed method. • Cross-sections and the overall digital twin of a highway are generated considering various types of highway components. [ABSTRACT FROM AUTHOR]