A Swedish commuter train operator uses big data to see two hours into the future.
Swedish train operator Stockholmstag developed a system that can predict commuter train delays two hours into the future using Big Data.
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"We have built a prediction model, using big data, that let’s us visualize the entire commuter train system two hours into the future. We can now forecast disruptions in our service and our traffic control center can prevent the ripple effects that actually cause most delays. This is the next generation forecasting tool for the commuter train industry," says Mikael Lindskog communications director at Stockholmstag.
Stockholmstag will release a commuter prognosis app for smartphones for commuters in Stockholm this fall. This is great example of Big Data analysis that directly helps consumers plan trips. Two hours are enough to make decisions about travel options for time critical trips like catching a flight in time.
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In the future the algorithm will be adaptable for more types of public transportations and cities.