whitepaper
IoT rail compressor monitoring solution
Download this whitepaper to learn how to perform predictive maintenance on a rolling stock air compressor with Stimio's IoT solution.
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Artificial Intelligence (AI)
news
CN invests in technology with Google Cloud collaboration
The Google Cloud partnership is central to CN's strategic plan to reinforce its commitment to digitalising scheduled railroading and building a premier railway of the 21st century.
webinar
Rail’s digital era: Embracing connectivity, cloud and AI to shape the future
10 November 2021 | By
Join this webinar which explored the public transportation industry’s approaches towards better connected and comprehensive networks, which aim to provide more personalised, differentiated, comfortable, and convenient travel experiences for passengers.
video
Video: TRACe™ EN50155-certified Transportation Computers
The TRACe transportation computer family from Kontron delivers proven, rugged and feature-rich building blocks that allow design flexibility.
article
A smarter edge: Bringing more capable compute to railway digitalisation
Artificial intelligence (AI) stands at the heart of modern and next-generation railway applications. Edge and embedded systems manufacturer ADLINK teamed with Intel to address the bottlenecks in conventional railway systems and enable a new, AI-ready, highly rugged set of solutions. Here, Christian Marez, Senior Business Development Manager for Transportation and…
article
Global Railway Review Issue 5 2021
Packed full of exclusive content, including: a Roundtable discussion on Decarbonising Rail; an In-Depth Focus to explore FRMCS; the impact of COVID-19 on Indonesia’s rail industry; establishing cyber-security for next generation rail mobility; and much more!
news
SIFER: Focus on AI, competitiveness, innovation and maintenance 4.0
Over 300 exhibitors have signed up to take part and showcase their latest innovations and expertise at SIFER 2021.
article
China’s rail transportation system reaches a smart milestone
Li Zhonghao and Xing Zhiming from the Expert and Academic Committee of the China Association of Metros (CAM), discuss how China’s rail transportation system has reached a smart milestone.
whitepaper
Oxygen: A railway maintenance digitalisation platform
Meet Oxygen, your companion towards the digitalisation journey and predictive maintenance for railway infrastructures and rolling stock.
article
Huawei’s Smart Locomotive Solution: Transitioning from person to tech-assisted rail operations
Guo Qianli, Chief Architect of Railway Industry and Chen Danfeng, Senior Architect for Global Transportation Business Unit of Huawei's Enterprise Business Group, discuss Huawei’s Smart Locomotive Solution.
article
The digital era for transport: How China’s transportation system will adapt and evolve
Zhao Yibin, Chief Architect of Integrated Transportation Solutions and Global Transportation Business Unit of Huawei's Enterprise Business Group, discusses how China’s transportation system is adapting and evolving in this digital era.
whitepaper
Railnet: A railway-certified IoT gateway for rolling stock
Railnet is a railway-certified LPWAN to 4G gateway, which allows data collection and transmission from rolling stock to Stimio’s Oxygen SaaS platform.
whitepaper
Railnode: A railway-certified IoT monitoring and maintenance device
Stimio's certified rail solution, Railnode, enables remote monitoring and predictive maintenance of all types of rolling stock and railway infrastructure.
whitepaper
Transforming the rail industry with artificial intelligence
This whitepaper explains how artificial intelligence (AI) helps the rail industry accelerate its digital transformation to improve operational efficiency and customer services.
article
Unlocking smart turnouts through the digitalisation of rail
Dr. Robert Bernerstätter, Data Scientist for R&D and Engineering in Diagnostics & Monitoring Technologies for Infrastructure at voestalpine Signaling Austria GmbH, writes of the potential that lies in smart turnouts, to increase availability and, through the use of AI, predict maintenance needs and in turn, reduce costs.
