Underlying Data for the EVI-RoadTrip Web Tool

Akcicek, Cemal

doi:10.15483/2246885

Title: Underlying Data for the EVI-RoadTrip Web Tool

Dataset
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Abstract

The dataset contains simulation-based charging infrastructure outputs that are visualized on the EVI-RoadTrip webtool. The outputs are aggregated to lower spatial resolution (e.g., state-level, corridor-level).

Authors:

Akcicek, Cemal

National Renewable Energy Laboratory

Publication Date:: Fri Dec 12 04:00:00 UTC 2025

DOE Contract Number:: AC05-76RL01830

Research Org.:: National Renewable Energy Laboratory; Pacific Northwest National Laboratory; Idaho National Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office (EE-3V)

Subject:: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; DC fast charging; charging behavior; electric vehicle charging load profiles; electric vehicle infrastructure planning; electric vehicles; light-duty vehicles; long-distance travel; travel behavior

OSTI Identifier:: 2246885

DOI:: https://doi.org/10.15483/2246885

Citation Formats


                    Akcicek, Cemal. Underlying Data for the EVI-RoadTrip Web Tool.  United States: N. p., 2025. 
        Web.  doi:10.15483/2246885.

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                    Akcicek, Cemal. Underlying Data for the EVI-RoadTrip Web Tool.  United States.  doi:https://doi.org/10.15483/2246885

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                    Akcicek, Cemal. 2025.  
"Underlying Data for the EVI-RoadTrip Web Tool".  United States.  doi:https://doi.org/10.15483/2246885.  https://www.osti.gov/servlets/purl/2246885. Pub date:Fri Dec 12 04:00:00 UTC 2025

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@article{osti_2246885,

  title        = {Underlying Data for the EVI-RoadTrip Web Tool},

  author       = {Akcicek, Cemal},

  abstractNote = {The dataset contains simulation-based charging infrastructure outputs that are visualized on the EVI-RoadTrip webtool. The outputs are aggregated to lower spatial resolution (e.g., state-level, corridor-level).},

  doi          = {10.15483/2246885},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Dec 12 04:00:00 UTC 2025},

  month        = {Fri Dec 12 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.15483/2246885

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