Data Sandbox+

Leveraging the data that the rail industry collects is key to improving the running of the railway and customer experience. Through a range of initiatives, we are helping to make data more accessible to those who can make best use of it.

Data Sandbox+ builds on the success of the original Data Sandbox competition that RSSB launched in 2017, which funded five feasibility studies on how machine learning, graph theory and data analytics techniques can be used to support performance improvements. It also includes new and updated datasets that can be used to support project proposals.

We are making £650,000 available to fund work that either builds on existing feasibility studies or proposes new approaches and ideas. Proposals for innovative data-driven solutions to the following key operational performance challenges are invited:

  1. Predicting and minimising reactionary delays
  2. Understanding train movements
  3. Reducing dwell time variations
  4. Management of disruptions
  5. Better measuring and understanding performance and delays
  6. Other challenges, as identified by relevant owners (such as Network Rail or passenger and freight operators)
There will be two rounds of applications:
  • - April to July - proposals must be received by 17:00 on 5 July 2019
  • - September to December - proposals must be received by 17:00 on 6 December 2019

For more information download the research competition brief and for any questions, please email

We are also working with the Department for Transport, Rail Delivery Group, Network Rail, Transport Systems Catapult and other industry players to support the Joint Rail Data Action Plan (JRDAP) and the Rail Sector Deal, which focus on ensuring that rail travel experience around the UK is continually improving through innovation and the better use of data.


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Other R&I Competitions

Click here to find out more about other RSSB R&I Competitions.