Overview

WaveX dataset collected from Tennessee Department of Transportation I-24 MOTION testbed, released with research article Stop-and-go wave super-resolution reconstruction via iterative refinement.

Data Collection

The dataset was collected from I-24 MOTION testbed and I-24 SMART Corridor in Nashville, Tennessee, U.S., from May 17 to July 17, 2024.

File Structure & Formats

The release includes raw data from the two monitoring systems, organized into two main folders:

• MOTION
• RDS

Citation & Attribution

Preferred Citation: If you use WaveX for any purpose, whether academic research, commercial applications, open-source projects, or benchmarking efforts, please cite our accompanying article:

@article{ji2024stop,
  title={Stop-and-go wave super-resolution reconstruction via iterative refinement},
  author={Ji, Junyi and Richardson, Alex and Gloudemans, Derek and Zach{\'a}r, Gergely and Nice, Matthew and Barbour, William and Sprinkle, Jonathan and Piccoli, Benedetto and Work, Daniel B},
  journal={arXiv preprint arXiv:2408.00941},
  year={2024}
}

@article{gloudemans202324,
  title={I-24 MOTION: An instrument for freeway traffic science},
  author={Gloudemans, Derek and Wang, Yanbing and Ji, Junyi and Zach{\'a}r, Gergely and Barbour, William and Hall, Eric and Cebelak, Meredith and Smith, Lee and Work, Daniel B},
  journal={Transportation Research Part C: Emerging Technologies},
  volume={155},
  pages={104311},
  year={2023},
  publisher={Elsevier}
}

Acknowledgments

This work was supported by the National Science Foundation (NSF) under Grant No. 2135579 (Work, Sprinkle), 2111688 (Sprinkle), 2444112 (Richardson), and the Tennessee Department of Transportation under Grant No. RES2023-20 and Grant No. OTH2023-01F-01. It is also supported by the U.S. Department of Transportation Dwight D. Eisenhower Fellowship program under Grant Agreement 693JJ32445065 (Richardson). We appreciate the dicussions on open data practice with Ruth Lu and Catherine Tang at MIT. Description of this dataset in this page benefits from the format that Songdo Traffic used, released by Robert Fonod, Haechan Cho, Hwasoo Yeo, Nikolas Geroliminis (2025).