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Monitoring Train occupancy using mobile

Case Study: Govia Thameslink

Seat availability on trains between East Croydon and Brighton

Citi Logik enabled Govia Thameslink to collect real-time data about their trains on the East Croydon to Brighton line and use a simple traffic light system to identify which trains had seats available, which had standing room and which were full.


Without any additional hardware or software, Citi Logik helped Govia Thameslink accurately forecast train occupancy before trains arrived at a station.

Govia Thameslink case study

Other examples using MND in rail/transport planning

Transport for London case study

Transport for London

Citi Logik helped TfL identify where people went after leaving Holborn underground station

Greater London Authority case study

Greater London Authority

Three pilot studies to show how mobile network data can help decision-making

Hull City Council case study

Hull City Council

How Citi Logik helped Hull become a Smart City

Graphic Chart
Free sample data file

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Rail Analytics Summary
  • ​​Real-time and historic occupancy

  • Passenger flow at stations

  • Railway station catchment data

  • Impacts of train delays

  • Station crowding analytics 

  • Impact of Covid-19 

Data for Rail

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