
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.

Other examples using MND in rail/transport planning

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

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

Free sample data file
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Real-time and historic occupancy
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Passenger flow at stations
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Railway station catchment data
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Impacts of train delays
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Station crowding analytics
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Impact of Covid-19