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Digital Twins

 

A ‘digital twin’ is a virtual, data-driven representation of the many characteristics and behaviours of any real-world physical asset, process or system. In the railway sector, ‘digital twins’ could be used across several different engineering, planning, and operational aspects, such as monitoring physical assets (rolling stock and infrastructure), monitoring train movements and providing information about passenger behaviour on-board trains, in stations or on platforms.

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In-Depth Focus: Leveraging Digital Twins

19 February 2024 | By

This In-depth Focus feature delves into the concept of the digital twin which has considerably increased relevance in the realm of railway operations today. Railways worldwide are embracing digital twin technology, creating a virtual representation of their assets, such as tracks, trains, and signalling systems, to optimise operations and enhance…

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Global Railway Review Issue 1 2024

14 February 2024 | By

Welcome to our first edition of 2024! This year marks a significant milestone for Global Railway Review as we proudly celebrate our 30th anniversary. In this issue of Global Railway Review we feature articles from industry experts on a range of topics from Freight Rail to changes to Regulations and…

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The Digital Rail Live 2023 Content Report

18 December 2023 | By

Digital Rail Live 2023 was a day of inspiring insights, innovations, and meaningful connections. Our attendees, speakers and sponsors contributed to the vibrant conversations that shaped the event into a hub of knowledge and collaboration.

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How digital twins drive better outcomes in rail

29 September 2023 | By

Discover how rail and transit organisations across the world are leveraging digital twins to work smarter, not harder, to help increase efficiency, improve reliability, mitigate risk and optimise costs.

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Railway Transformation: Data-Driven Sustainability

18 September 2023 | By Cohesive

In this pivotal moment for the railway industry, experts gathered to address challenges, including aging assets and climate change. They emphasised data-driven strategies for efficiency, safety, and sustainability, breaking down silos to enable smarter decisions.