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A Review of Linear Transportation Construction Progress Monitoring Techniques

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Peer-reviewed

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Conference Object

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Authors

Vick, Steven 

Abstract

Effective construction progress monitoring allows schedule and/or cost deviations to be identified early enough to implement corrective actions and avoid contract disputes. Current approaches are not accurate, consistent, reliable, or timely enough to enable effective project control decisions. This is, in part, the reason for an estimated $82.6 billion in global transportation project cost overruns each year. Recent studies have leveraged 4D Building Information Models (BIM) to automate the detection of as-planned components in as-built data; a crucial step in automating progress monitoring. However, the scope of these studies has been limited to mostly building construction components at the major activity level (e.g. columns, beams, foundations, walls, etc.). This paper presents a qualitative synthesis of the state-of-the-art in automated progress monitoring practice and research, focusing on approaches relevant to linear transportation projects. The literature is grouped into four broad categories: (1) image processing methods, (2) point cloud processing methods, (3) indirect methods, and (4) transportation and earthwork specific studies. Gaps in knowledge are identified for future research opportunities. It is concluded that more research is needed to proposefeasible methods for automating progress monitoring on transportation projects.

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Int. Conf. on Computing in Civil and Building Engineering

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