The I-24 Trajectory Dataset

Nice, Matthew; Lichtle, Nathan; Gumm, Gracie; Roman, Michael; Vinitsky, Eugene; Elmadani, Safwan; Bunting, Matt; Bhadani, Rahul; Jang, Kathy; Gunter, George; Kumar, Maya; McQuade, Sean; Denaro, Chris; Delorenzo, Ryan; Piccoli, Benedetto; Work, Daniel; Bayen, Alexandre; Lee, Jonathan; Sprinkle, Jonathan; Seibold, Benjamin

doi:10.5281/zenodo.6366761

Title: The I-24 Trajectory Dataset

Abstract

This dataset was created by recording CAN and GPS data from a single vehicle driving on I-24. The dataset includes values for Time, Velocity, Acceleration, Space Gap, Lateral Distance, Relative Velocity, Longitude GPS, Latitude GPS and more. This empirical dataset is useful for understanding/simulating real vehicle trajectories and vehicle controller performance.

Authors:

Nice, Matthew; Lichtle, Nathan; Gumm, Gracie; Roman, Michael; Vinitsky, Eugene; Elmadani, Safwan; Bunting, Matt; Bhadani, Rahul; Jang, Kathy; Gunter, George; Kumar, Maya; McQuade, Sean; Denaro, Chris; Delorenzo, Ryan; Piccoli, Benedetto; Work, Daniel; Bayen, Alexandre; Lee, Jonathan; Sprinkle, Jonathan; Seibold, Benjamin

Vanderbilt Univ., Nashville, TN (United States)
Univ. of California, Berkeley, CA (United States). Applied Science and Technology
Univ. of Arizona, Tucson, AZ (United States)
Univ. of California, Berkeley, CA (United States)
Rutgers Univ., New Brunswick, NJ (United States)
Temple Univ., Philadelphia, PA (United States)

Publication Date:: 2021-09-14

DOE Contract Number:: EE0008872

Research Org.:: Vanderbilt Univ., Nashville, TN (United States); University of California Berkeley; Univ. of Arizona, Tucson, AZ (United States); Rutgers Univ., Piscataway, NJ (United States); Temple Univ., Philadelphia, PA (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Collaborations:: CIRCLES Consortium

Keywords:: controller area network; vehicle trajectory; vehicle controller

OSTI Identifier:: 1855608

DOI:: https://doi.org/10.5281/zenodo.6366761

Citation Formats


                    Nice, Matthew, Lichtle, Nathan, Gumm, Gracie, Roman, Michael, Vinitsky, Eugene, Elmadani, Safwan, Bunting, Matt, Bhadani, Rahul, Jang, Kathy, Gunter, George, Kumar, Maya, McQuade, Sean, Denaro, Chris, Delorenzo, Ryan, Piccoli, Benedetto, Work, Daniel, Bayen, Alexandre, Lee, Jonathan, Sprinkle, Jonathan, and Seibold, Benjamin. The I-24 Trajectory Dataset.  United States: N. p., 2021. 
        Web.  doi:10.5281/zenodo.6366761.

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                    Nice, Matthew, Lichtle, Nathan, Gumm, Gracie, Roman, Michael, Vinitsky, Eugene, Elmadani, Safwan, Bunting, Matt, Bhadani, Rahul, Jang, Kathy, Gunter, George, Kumar, Maya, McQuade, Sean, Denaro, Chris, Delorenzo, Ryan, Piccoli, Benedetto, Work, Daniel, Bayen, Alexandre, Lee, Jonathan, Sprinkle, Jonathan, & Seibold, Benjamin. The I-24 Trajectory Dataset.  United States.  doi:https://doi.org/10.5281/zenodo.6366761

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                    Nice, Matthew, Lichtle, Nathan, Gumm, Gracie, Roman, Michael, Vinitsky, Eugene, Elmadani, Safwan, Bunting, Matt, Bhadani, Rahul, Jang, Kathy, Gunter, George, Kumar, Maya, McQuade, Sean, Denaro, Chris, Delorenzo, Ryan, Piccoli, Benedetto, Work, Daniel, Bayen, Alexandre, Lee, Jonathan, Sprinkle, Jonathan, and Seibold, Benjamin. 2021.  
"The I-24 Trajectory Dataset".  United States.  doi:https://doi.org/10.5281/zenodo.6366761.  https://www.osti.gov/servlets/purl/1855608. Pub date:Tue Sep 14 00:00:00 EDT 2021

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@article{osti_1855608,

  title        = {The I-24 Trajectory Dataset},

  author       = {Nice, Matthew and Lichtle, Nathan and Gumm, Gracie and Roman, Michael and Vinitsky, Eugene and Elmadani, Safwan and Bunting, Matt and Bhadani, Rahul and Jang, Kathy and Gunter, George and Kumar, Maya and McQuade, Sean and Denaro, Chris and Delorenzo, Ryan and Piccoli, Benedetto and Work, Daniel and Bayen, Alexandre and Lee, Jonathan and Sprinkle, Jonathan and Seibold, Benjamin},

  abstractNote = {This dataset was created by recording CAN and GPS data from a single vehicle driving on I-24. The dataset includes values for Time, Velocity, Acceleration, Space Gap, Lateral Distance, Relative Velocity, Longitude GPS, Latitude GPS and more. This empirical dataset is useful for understanding/simulating real vehicle trajectories and vehicle controller performance.},

  doi          = {10.5281/zenodo.6366761},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2021},

  month        = {9}

}

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DOI: https://doi.org/10.5281/zenodo.6366761

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Works referenced in this record:

The I-24 Trajectory Dataset
dataset, January 2021

Nice, Matthew; Lichtle, Nathan; Gumm, Gracie
Zenodo
https://doi.org/10.5281/zenodo.6366762

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Title: The I-24 Trajectory Dataset

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Citation Formats

The I-24 Trajectory Dataset dataset, January 2021

The I-24 Trajectory Dataset
dataset, January 2021