Rail
Digital Twins in Rail
Digital twins can be applied across the whole rail sector, from monitoring rolling stock and infrastructure, to tracking train movements, and providing insights into passenger behaviour onboard trains, in stations, and on platforms.
Asset Monitoring
Sensors installed on trains, tracks, and signaling systems continuously collect data on performance, condition, and operational status.
Anomaly Detection
The digital twin analyzes real-time data to identify deviations from normal operating conditions, allowing for early detection of potential issues such as track wear or equipment malfunctions.
Scenario Planning
Operators can run simulations to evaluate the impact of various operational scenarios, such as changes in train schedules, infrastructure upgrades, or emergency responses.
Passenger Insights
The digital twin tracks passenger flow and behavior in stations and trains, providing valuable insights to improve service and enhance the overall travel experience.
Enhance safety and optimize operations and maintenance.
Predictive Maintenance. By continuously monitoring the condition and performance of tracks and rolling stock, operators can anticipate maintenance needs before they develop into costly failures. This proactive strategy reduces downtime, enhances reliability, and improves the passenger experience.
Safety & Security: By integrating real-time data from CCTV and sensors, operators can identify anomalies and potential risks before they endanger passengers or infrastructure. Additionally, digital twins enable simulated training, helping staff to respond better to emergencies and enhancing overall safety.
Industry Use Cases
Demo - Rail Network, Rolling Stock & Stations - Nextspace digital twin platform
Rail - Rolling Stock, Network & Stations - Visual Asset Management v2
Rail - Rolling Stock, Network & Stations - Visual Asset Management v1
Companies that love what we’re doing
Companies that love what we’re doing
