In April 2019, RSSB launched a £650,000 call for research (match funded by Network Rail, for a total of £1.3m) to fund demonstrators and feasibility studies that explored data-driven approaches to operational performance challenges. This competition built on the original Data Sandbox initiative that awarded funding to five projects that demonstrated 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 Data Sandbox+ initiative, which has been run in collaboration with Network Rail, is now funding four new projects that offer novel and innovative solutions for improving service reliability and punctuality, which are due to be completed in 2020.
Find out more about the projects by clicking on the project cards below, or find information about the initiative on SPARK.
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