Swedish Train Operator Can See Future Delays Using Big Data

Posted: Sep 9 2015, 8:14am CDT | by , in News | Technology News

 
Swedish Train Operator Can See Future Delays using Big Data

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.

"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.

The so called “Commuter prognosis” works like a seismograph. When a train is not on time the proprietary algorithm forecasts the delay effects in the entire network by using historic data.
As the system can see delays up to two hours in the future, train operators can tell passengers about possible delays before the delays actually happen. Additionally departure information will be more accurate so passengers can plan their trips better.

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.

In the future the algorithm will be adaptable for more types of public transportations and cities.

This story may contain affiliate links.

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<a href="/latest_stories/all/all/2" rel="author">Luigi Lugmayr</a>
Manfred "Luigi" Lugmayr () is the founding Chief Editor of I4U News and brings over 25 years experience in the technology field to the ever evolving and exciting world of gadgets, tech and online shopping. He started I4U News back in 2000 and evolved it into vibrant technology news and tech and toy shopping hub.
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