Big data continues to drive transportation planning and analysis as researchers crunch traffic counts from across one of the nation’s most car-centric metro regions. The efforts are helping to not only predict where problems may arise, but test mitigation measures.

The U.S. Department of Energy’s Argonne National Laboratory is examining traffic data from across the Los Angeles metro region in order to develop strategies to reduce traffic congestion.

“We want to look at this problem more from a system level,” explained Prasanna Balaprakash, a computer scientist with the Argonne National Laboratory…

Super computers at the Argonne Laboratory are able to take a year’s worth of traffic data gathered from some 11,160 sensors across southern California, as well as movement data from mobile devices, to build forecasting models. They can then be applied to simulation projects.
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