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DOE puts supercomputers to work on transportation efficiency

The Department of Energy plans to devote some of its vast supercomputing resources to two new early-stage research projects that aim to improve energy efficiency in transportation environments.

The first initiative, Big Data Solutions for Mobility, will develop new tools and algorithms that use nearly real-time data in modeling urban transportation ecosystems. Having models that run on real-time data will allow cities to optimize overall energy use in transportation systems, DOE said.

The second initiative, called HPC4Mobility, will create partnerships by opening up resources of the national labs to cities, companies, transportation system operators and others working on increasing energy efficiency in mobility systems.

The first HPC4Mobility projects include Lawrence Berkeley National Laboratory working with the Los Angeles County Metropolitan Transportation Authority to develop models to forecast “energy impacts of emerging mobility solutions,” such as autonomous vehicles or ride sharing. Oak Ridge National Laboratory will work with GRIDSMART Technologies to see how energy usage can be optimized by learning-based traffic control.

About the Author

Matt Leonard is a reporter/producer at GCN.

Before joining GCN, Leonard worked as a local reporter for The Smithfield Times in southeastern Virginia. In his time there he wrote about town council meetings, local crime and what to do if a beaver dam floods your back yard. Over the last few years, he has spent time at The Commonwealth Times, The Denver Post and WTVR-CBS 6. He is a graduate of Virginia Commonwealth University, where he received the faculty award for print and online journalism.

Leonard can be contacted at mleonard@gcn.com or follow him on Twitter @Matt_Lnrd.

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