Data Study Group Final Report: Transport for London - Identifying physical assets on the London Underground

Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges.

Transport for London (TfL) operates the largest metro network in Europe, covering 750km of track. Sheer size makes maintaining detailed records about assets on the network extremely difficult, which has implications for the ability of TfL to maintain asset conditions and plan for appropriate upgrades. If we can ascertain track asset information from data held by TfL, that could be incredibly valuable and allow the operator to better maintain and upgrade its track. Therefore, the main objective of this challenge is to achieve “identification (localisation and classification) of physical assets on the London Underground from image data”.

Data Study Group - September 2024 | The Alan Turing Institute