Name: Dr Varun Kumar Reja
Academic Division: Civil Engineering
Research Group: Digital Roads for Future
Fellowship period: 15 June 2023 – 14 June 2026
Email: vkr25@cam.ac.uk
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Strategic Themes Infrastructure Management Supported by Digital Twins Creating virtual replicas of physical infrastructure, such as buildings, roads, bridges, or utility systems, using advanced technologies like sensors, AI, and IoT. Digital Twin Integration for Circular Construction Investigate the use of digital twins in circular construction automation to improve material tracking, waste reduction, and optimize resource allocation throughout the construction lifecycle. Computer Vision Based Infrastructure Assessment Using advanced image processing / point cloud processing techniques to analyse and evaluate the condition and performance of various physical infrastructure, such as roads, bridges, buildings, and utility systems. |
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Research Project Title: Mapping National Highway Requirements: Digital Twins for Road Operation and Maintenance Theme: Digital Twins Abstract: The management and maintenance of national highways play a pivotal role in ensuring smooth and safe transportation for millions of people. Traditional road surveys and maintenance practices, however, often encounter challenges that hinder their efficiency and effectiveness. To address these issues and revolutionize the way highways are managed, this research project focuses on harnessing the potential of Digital Twin (DT) technology. This research aims to develop an Information Delivery Manual (IDM) that can significantly improve road survey processes, repair procedures, and data requirements. This comprehensive framework promises to elevate the standards of road operation and maintenance, ultimately leading to safer and more resilient road networks. The first objective research objective entails conducting an in-depth investigation into the prevailing methods and physical components used in road surveys. This analysis aims to identify the strengths and limitations of existing approaches and the challenges faced by road authorities. Building upon the findings from Objective 1, this research will proceed to analyze the road survey processes and the data requirements necessary for assigning repair and maintenance tasks. By synthesizing this information, the formulate the initial version of an IDM - Version 1. Objective three focusses on assessment of how DT technology can improve road survey processes, facilitate predictive maintenance, and support data-driven decision-making. Drawing from the insights gathered in Objective 2, researchers will develop an advanced version of the IDM - Version 2 that fully integrates the capabilities of DT technology. IDM Version 2 will act as an intelligent and adaptable framework that optimizes highway management through data-driven insights and predictive analytics. |