Available datasets for optimal deployment of EV charging stations across the state of Georgia:
  • The primary area of interest is defined by the boundaries provided through the OpenStreetMap (OSM) extraction, with detailed shapefiles and PBF formats available for download. Teams are allowed to use only these boundaries and this specific version of OSM data.
  • Points of Interest: ORNL Foundation GEOINT (Made available by Jul 1, 2024.)
  • Travel Survey: The National Household Travel Survey (NHTS) and the NHTS NextGen OD Data provide insights into travel behaviors, including origin-destination pairs and hourly trip data for optimizing EV charger locations.
  • Social and behavioral data
    • Census data (e.g., household income by race: Census data, including household income by race, is accessible via the U.S. Census Bureau and helps identify areas with varying socio-economic statuses (via
    • Housing + Transportation Affordability Index (via
    • Justice40 disadvantage census tracts (via
  • State EV Registration Data: This data is made available for understanding current EV adoption rates and predicting future trends (via
  • Power Outage Data: Historical power outage data from EAGLE-I, covering the years 2014 to 2022, provides insights into the reliability of the power grid. EAGLE-I Power Outage Data 2014 - 2022 (via
  • VIIRS: Nighttime light data from VIIRS, providing annual composites for 2022 to 2023, which can be used to identify urban and rural activity patterns (via
  • Social Vulnerability Dataset (via
  • ORNL LandScan population data (via
  • Note: more datasets can be added in the future.

Note about custom datasets: Teams are allowed to use their own datasets, however these datasets should be shared with other teams. The final deadline to announce the use of custom datasets is: August 1, 2024.