Authors: Himanshi Arora
Abstract: Digital twin technology has emerged as a groundbreaking solution for optimizing the design, operation, and maintenance of transport infrastructure. A digital twin is a dynamic virtual representation of physical assets, systems, or processes, integrated with real-time data and advanced analytics. In the context of transport infrastructure—including roads, railways, bridges, tunnels, and airports—digital twins offer numerous benefits ranging from predictive maintenance to improved traffic management. This paper explores the fundamental principles of digital twins, their architecture, real-world applications in transport infrastructure, and associated challenges. Furthermore, it outlines future directions for integrating artificial intelligence, the Internet of Things (IoT), and big data with digital twin frameworks to achieve smarter and more sustainable transport systems.
Keywords: Digital Twin, Transport Infrastructure, Predictive Maintenance, Smart Cities, Real-time Monitoring, Internet of Things, Data Analytics, Infrastructure Lifecycle.
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