Digital twin technology for road pavement

MA Talaghat, A Golroo, A Kharbouch, M Rasti… - Automation in …, 2024 - Elsevier
In recent years, the concept of Digital Twins (DT) has emerged as a promising solution for
real-time monitoring and proactive maintenance of complex engineering systems. This …

Review of computational mechanics, optimization, and machine learning tools for digital twins applied to infrastructures

GE Stavroulakis, BG Charalambidi, P Koutsianitis - Applied Sciences, 2022 - mdpi.com
This review discusses the links between the newly introduced concepts of digital twins and
more classical finite element modeling, reduced order models, parametric modeling, inverse …

[HTML][HTML] Physics-guided neural network for predicting international roughness index on flexible pavements considering accuracy, uncertainty and stability

K Chen, ME Torbaghan, N Thom… - Engineering Applications of …, 2025 - Elsevier
An outstanding amount of funds are allocated to maintain road network conditions. To
ensure the serviceability of roads, the accurate prediction of its roughness or International …

[HTML][HTML] Methods for enabling real-time analysis in digital twins: A literature review

MS Es-haghi, C Anitescu, T Rabczuk - Computers & Structures, 2024 - Elsevier
This paper presents a literature review on methods for enabling real-time analysis in digital
twins, which are virtual models of physical systems. The advantages of digital twins are …

[HTML][HTML] Exploring the Value of Digital Twins for Information Management in Highway Asset Maintenance

M Yin, VK Reja, R Wei, I Brilakis, B Sheil… - Developments in the …, 2025 - Elsevier
Highway agencies face challenges managing dispersed asset data across maintenance
processes and information systems, hindering efficient retrieval of dynamic road information …

[HTML][HTML] City infrastructure ontologies

H Du, L Wei, V Dimitrova, D Magee, B Clarke… - … Environment and Urban …, 2023 - Elsevier
Sustainable urban infrastructure planning and maintenance require an integrated approach
that considers various infrastructure assets (eg, the ground, roads, and buried pipes) and …

[HTML][HTML] A Machine Learning based approach to predict road rutting considering uncertainty

K Chen, ME Torbaghan, N Thom… - Case Studies in …, 2024 - Elsevier
Roads as vital public assets are the backbone for transportation systems and support
constant societal development. Recently, data-driven technologies such as digital twins and …

Enhancing emergency vehicle access in dense settlements of Mumbai using high-resolution satellite imagery: A deep learning approach

VK Singh, V Kumar - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Unplanned urbanization in developing cities has led to haphazard development, increasing
disaster risks in densely populated areas. Despite being more disaster-prone, these dense …

Edge AI-Enabled Road Fixture Monitoring System

M Younesi Heravi, IS Dola, Y Jang, I Jeong - Buildings, 2024 - mdpi.com
Effective monitoring of road fixtures is essential for urban safety and functionality. However,
traditional inspections are time-consuming, costly, and error prone, while current automated …

[HTML][HTML] Digital Twin Enabling Technologies for Advancing Road Engineering and Lifecycle Applications

Y Yan, L Ni, L Sun, Y Wang, J Zhou - Engineering, 2024 - Elsevier
Road infrastructure is facing significant digitalization challenges within the context of new
infrastructure construction in China and worldwide. Among the advanced digital …