In April 2019, RSSB launched a £1.3m call for research (co-funded by Network Rail) to fund demonstrators and feasibility studies that explore 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+ competition, which has been run in collaboration with Network Rail, had two rounds of applications. We are funding four new projects (through Round 1) that offer novel and innovative solutions for improving service reliability and punctuality, which are due to be completed in late 2020. The results of Round 2 are going to be announced in early February 2020.
Find out more about the projects by clicking on the project cards below, or find information about the initiative on SPARK.
On 16 January 2020, the project teams funded through Round 1 had an opportunity to meet, network and discuss possible synergies at the RSSB offices in London. Presentations from the day are available here:
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