Work

Constructing and Maintaining Road Geometric Digital Twins

Year: 2025

Type: article

Abstract: Geometric digital twins (GDTs) for roads hold promise for improving asset management and enabling cost-effective predictive maintenance in the transportation industry. Whereas current methods require significant manual intervention, future research aims to automate GDT construction and maintenance processes. In this paper, we employ a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-based framework to systematically review the state of practice and state of research in the construction and maintenance of road GDTs. We also review and delve into the application of road GDTs in the key project phases. We focus on highlighting existing knowledge gaps and identifying future research directions. Further, we investigate current barriers to constructing and maintaining road geometric digital twins, analyze common road assets for prioritization, and provide time-cost estimates for GDT development using commercially available software. Finally, we conclude by presenting a roadmap of road GDTs, highlighting the generational development and a long-term vision.

Source: Journal of Computing in Civil Engineering

DOI: 10.1061/jccee5.cpeng-6239

Authors: Diana Davletshina, Varun Kumar Reja, Ioannis Brilakis

Institution: University of Cambridge

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

Funder: Engineering and Physical Sciences Research Council