In October 2017, RSSB launched a £500,000 call for research to identify novel data-driven solutions to key network performance challenges.
The findings from 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. They findings were presented at a one-day conference "Enabling Better Network Performance" on 4 April 2019 (read full article).
Find out more about the projects by clicking on the project cards below.
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