Projects
In October 2017, RSSB launched a £500,000 call for research to identify novel data-driven solutions to key network performance challenges.
The five projects that were awarded funding show how machine learning, graph theory and data analytics can be used to make accurate predictions about the impact of reactionary delays and dwell time variations. The findings were presented at a one-day 'Enabling Better Performance' conference on 4 April 2019 (see article).
Find out more about the projects by clicking on the project cards below, or find information about the initiative on SPARK.
For any questions, please email: researchcompetitions@rssb.co.uk
University of East Anglia
With support from Greater Anglia
Middlesex University and University of Brighton
With support from Southeastern
University of Southampton
With support from South Western Railway
Liverpool John Moores University
With support from Merseyrail
City, University London and Risk Solutions
With support from Great Western Railway
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Click here to find out more about other RSSB R&I Competitions.
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