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Overhead Vehicle Dataset

Coordinating and optimizing traffic in urban areas may introduce hundreds of thousands of vehicles and traffic management systems, which can require high performance computing (HPC) resources to model and manage. This data set was created to understand the potential for machine learning, computer vision, and HPC to improve the energy efficiency aspects of traffic control

Naturalistic Driving Study Sample

The ORNL Naturalistic Driving Study SampleĀ is a dataset created by Oak Ridge National Laboratory to help evaluate algorithms used in an analysis of automobile driver behavior.