A visualisation of 562,145 journeys on the London Underground network, from a 5% sample of Oyster-card journeys during a week in 2009.
The route that an individual took across the network was predicted by a custom written journey planner. Which correlated with TFLs recommendation.
The journey planner and route finder were both written in Python and the visualisation was created using C++ with openFrameworks and GLSL for the position computation.
For more information on the project visit: wgallia.com#!underground
All the code is open source: