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 Sample is a dataset created by Oak Ridge National Laboratory to help evaluate algorithms used in an analysis of automobile driver behavior.