Public transport delays suck. There is nothing good about missing an important meeting because your train, bus, tram, or tuk tuk got delayed. So, in order to drive the highest levels of predictability for its users, Stockholmstag, the commuter train operator in Stockholm, has applied big data to its entire rail network in order to forecast disruptions in service.

The model, cunningly named “The Commuter Prognosis,” applies a prediction model to visualize the rail system as it will be two hours into the future. Using the predictions, Stockholmstag can forecast disruption in their service and, more importantly, their traffic control center can prevent the ripple effects that actually cause most delays.

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Ben Kepes

Ben Kepes is a technology evangelist, an investor, a commentator and a business adviser. Ben covers the convergence of technology, mobile, ubiquity and agility, all enabled by the Cloud. His areas of interest extend to enterprise software, software integration, financial/accounting software, platforms and infrastructure as well as articulating technology simply for everyday users.