This Track Insight delves into the revolutionary technological advancements that are transforming how we approach track maintenance.
From the burgeoning adoption of automation and robotics for routine inspections and repairs, to the power of data-driven predictive maintenance enabled by IoT sensors and advanced analytics, we are entering an era of unparalleled precision and efficiency.
The integration of AI, machine learning, and digital twins promises to further optimise asset management and minimise downtime, ensuring our railways remain robust and resilient.
In today’s measurement-rich environment, rail and transit owner-operators have access to more data than ever, from track geometry and IoT to inspection logs and environmental conditions. But the real challenge lies not in collecting data, but in making it actionable.
Featuring articles by:
- The Rail Accident Investigation Branch
- Amtrak
- Dr.-Ing. Georg Friberg, CEO of Goldschmidt Holding GmbH
- MxV Rail advisors
- Bentley Systems
And more!
Supported by Goldschmidt
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Global Railway Review's Track Insight: Track Maintenance
Topics
- AI, analytics & decision support
- America
- Amtrak
- BCRRE
- Bentley Systems
- Civils & structures
- Climate adaptation & resilience
- Digital delivery & change
- Digital twins & simulation
- Electrification & traction power infrastructure
- Europe
- Freight planning & capacity
- Funding, franchising & reform
- Goldschmidt
- Heavy haul & industrial freight
- Monitoring, inspection & testing (infrastructure)
- MxV Rail
- Rail Accident Investigation Branch (RAIB)
- Safety management & assurance
- Timetabling & capacity
- UK
- Workforce strategy & skills
