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.
Publication date:
September 14, 2021
Publication type:
Research Report
Citation:
Nice, M., Lichtle, N., Gumm, G., Roman, M., Vinitsky, E., Elmadani, S., Bunting, M., Bhadani, R., Jang, K., Gunter, G., Kumar, M., McQuade, S., Denaro, C., Delorenzo, R., Piccoli, B., Work, D., Bayen, A., Lee, J., Sprinkle, J., & Seibold, B. (2021). The I-24 Trajectory Dataset. 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). https://doi.org/10.5281/zenodo.6366761