Update models/ratesetter.md

Co-authored-by: Robert Chisholm <[email protected]>

Author: mondus

models/ratesetter.md

@@ -5,7 +5,7 @@ permalink: "models/ratesetter"
 
 ![Improving Passenger Boarding Rate and Reducing Risk at the Platform Train Interface]({{ "/assets/images/models/ratesetter.png" | relative_url }}){: .align-right .no-shadow} 
 
-Researchers at the University of Sheffield have used FLAME GPU to power large-scale, real-time simulations of pedestrian movement, bringing agent-based modelling into practical railway applications. Through the RateSetter project, FLAME GPU was applied to the Passenger Train Interface (PTI) to model boarding and alighting flows, testing how rolling stock characteristics such as door width and carriage layout affect passenger movement. The tool was developed for the Rail Safety and Standards Board (RSSB) and Merseyrail, who sought to validate the model and gain practical insights ahead of a new fleet introduction.
+Researchers at the University of Sheffield have used FLAME GPU to power large-scale, real-time simulations of pedestrian movement, bringing agent-based modelling into practical railway applications. Through the RateSetter project, FLAME GPU was applied to the Passenger Train Interface (PTI) to model boarding and alighting flows, testing how rolling stock characteristics such as door width and carriage layout affect passenger movement. The tool was developed for the [Rail Safety and Standards Board (RSSB)](https://www.rssb.co.uk/) and [Merseyrail](https://www.merseyrail.org/), who sought to validate the model and gain practical insights ahead of a new fleet introduction.
 
 When COVID-19 disrupted normal operations, the project pivoted to simulate the impact of social distancing on station passenger flows. Using FLAME GPU, the team rapidly modelled multiple scenarios, showing how reduced proximity slowed passenger movements and identifying situations likely to cause delays. These insights were integrated with a network-level model developed in collaboration with Risk Solutions, enabling RSSB and Train Operating Companies to anticipate crowding effects across the network before restrictions were lifted.