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: email@example.com
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