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Mining Taxi Data to Predict Tomorrow’s Traffic
KTH’s iMobilityLab is tracking GPS signals from hundreds of taxis on the streets of Stockholm, building advanced computer algorithms that can look for patterns in the data to create forecasts based on weather, time of day, construction delays and more. The researchers say their model could be used in smartphone apps and urban traffic planning anywhere.
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Planning Sweden’s rail traffic
Researchers at KTH have produced a model for predicting the consequences in terms of capacity and punctuality when expanding rail infrastructure in Sweden. Put simply, it means improving the planning of Swedish rail traffic.
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Better traffic situation in Stockholm led to prize
At KTH a project is now underway to improve traffic conditions in the Stockholm area. It is so popular among Swedes that yesterday it received the “Prize for a smarter planet”.