The I-24 Trajectory Dataset

Dataset · Tue Sep 14 00:00:00 EDT 2021

DOI:https://doi.org/10.5281/zenodo.6366761· OSTI ID:1855608

Nice, Matthew ^[1]; Lichtle, Nathan ^[2]; Gumm, Gracie ^[3]; Roman, Michael ^[3]; Vinitsky, Eugene ^[2]; Elmadani, Safwan ^[4]; Bunting, Matt ^[4]; Bhadani, Rahul ^[4]; Jang, Kathy ^[5]; Gunter, George ^[3]; Kumar, Maya ^[3]; McQuade, Sean ^[6]; Denaro, Chris ^[6]; Delorenzo, Ryan ^[6]; Piccoli, Benedetto ^[6]; Work, Daniel ^[3]; Bayen, Alexandre ^[5]; Lee, Jonathan ^[5]; Sprinkle, Jonathan ^[4]; Seibold, Benjamin ^[7]

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1. Vanderbilt Univ., Nashville, TN (United States); Vanderbilt University
2. Univ. of California, Berkeley, CA (United States). Applied Science and Technology
3. Vanderbilt Univ., Nashville, TN (United States)
4. Univ. of Arizona, Tucson, AZ (United States)
5. Univ. of California, Berkeley, CA (United States)
6. Rutgers Univ., New Brunswick, NJ (United States)
7. Temple Univ., Philadelphia, PA (United States)

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.

• Research Organization: Vanderbilt University; University of California Berkeley; University of Arizona; Rutgers University; Temple University
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• Contributing Organization: CIRCLES Consortium
• DOE Contract Number: EE0008872
• OSTI ID: 1855608
• Country of Publication: United States
• Language: English

Related Subjects

controller area network
vehicle controller
vehicle trajectory