Researchers at the University of Texas at Austin's (UT Austin) Center for Transportation Research (CTR) are using high-performance computing tools to analyze data collected from connected-vehicle (CV) testing.
CVs exchange messages regarding location and other safety-related information with other vehicles and roadside infrastructure.
The researchers believe the data generated by CVs has the potential to support transportation planning and operations, but the volume and complexity of the data presents challenges for the transportation research community.
To explore data collected from the Safety Pilot Model Deployment study, the CTR team turned to UT Austin's Texas Advanced Computing Center (TACC), which is a key partner in the Extreme Science and Engineering Discovery Environment, a collection of integrated advanced digital resources and services. TACC experts worked with CTR researchers to apply the Rustler supercomputer to very large datasets.
The team is now able to complete its analysis cycle much faster and attempt new simulation experiments.
From Texas Advanced Computing Center
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