Circle Case study

Live Passenger Data for Govia Thameslink

CACI helps Govia Thameslink Railway to automate live passenger load data


  • Reduce station dwell times by directing passengers to the best possible parts of the platform in advance
  • Improve customer experience and accessibility by making it easier to find seats, toilets, and bicycle storage
  • Capture and distribute live information on passenger loading and actual train consist


  • Govia Thameslink Railway (GTR) won Rail Safety and Standards Board (RSSB) funding to pilot a new system, and appointed CACI as technology partner
  • 15 different data sources – including carriage telemetry, shoe-counting cameras and mobile device addresses – were combined in a CACI-developed back end database
  • The system used algorithms developed by the University of Southampton to calibrate the data and create live, accurate information for each train
  • The live data was fed directly into new fields in the rail industry’s information engine, Darwin, to populate downstream systems


  • Live information on train loading and consist appeared in customer apps – enhancing the travelling experience
  • A new, CACI-built system helped station staff to direct passengers to the best areas of the platform, reducing dwell times
  • The concept – a world-first combination of data capture technologies – was proven to work
  • The project was declared a success by the RSSB


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