Digital twins support big data-driven decisions for track maintenance

Technological advancements and the internet of things (IoT) have had a significant impact on the way rail and transit organisations handle their current day to day operations. Today, railroads rely on autonomous inspection vehicles to provide near real-time monitoring of the track condition.

A significant opportunity of digital twins is leveraging continuous survey data for analysis of the performance digital twin. This digital DNA provides the ability to understand the asset’s condition over time; it’s past, current, and future condition, adding a fourth dimension (4D) of time, against the physical assets in the field.

The need for linear analytics in rail and transit
There also needs to be an understanding that an asset management system isn’t a single solution. Rail and transit requirements with linear assets are a great example as to why there is a need for different tools for different groups in an organisation. Download the whitepaper and read more below.