Task
Participants are expected to develop a behavioral model using the provided training data, predict the future trajectory of the following automated vehicle (FAV) for each test segment, and submit the predicted FAV trajectories in the required CSV format.
For each trajectory segment, the training set provides the full 30-second trajectories of both the lead vehicle (LV) and the following automated vehicle (FAV). In the test set, participants are given the full 30-second LV trajectory and the first 10 seconds of the FAV trajectory, and are required to predict the remaining 20 seconds of the FAV trajectory.
The organizing team will evaluate all submissions using the hidden ground-truth future trajectories from the test set.
Dataset
The challenge dataset consists of three files:
| File | Content | Purpose |
|---|---|---|
train.csv | Full 30-second LV and FAV trajectories for the training segments | Used for model development and validation |
test.csv | Full 30-second LV trajectories and first 10-second FAV trajectories for the test segments | Used for prediction generation |
submission_template.csv | Standard submission format for the predicted future 20-second FAV trajectories | Specifies the required submission structure |
Code Verification for Finalists
To ensure fairness and reproducibility, the top 3 teams on the final leaderboard will be required to submit their inference code for verification.
Finalists must provide:
- the code used to generate the submitted predictions.
- clear instructions for reproducing the results.
- a Docker container or Dockerfile that allows the organizing team to run the model in a standardized environment.
Failure to provide a runnable and reproducible implementation may result in disqualification from the final ranking.
Timeline
- Challenge Start: June 1, 2026
- Model Development: June–August 2026
- Submission Deadline: August 31, 2026
- Winners Announcement: October 1, 2026
Awards and Recognition
The competition will recognize the top three teams through:
- A plaque award and gifts issued by the IEEE ITSS Emerging Transportation Technology Testing (ET3) Technical Committee.
- Invited presentations with travel support at the ET3 Workshop held alongside conferences such as TRB, IEEE ITSC, and IEEE IV.
- An invitation to submit extended versions of their work to a special issue of IEEE Transactions on Intelligent Transportation Systems.
- Visibility and advocacy through IEEE ITSS newsletters, ET3 announcements, social media, and partner channels.
- Featured interviews highlighting the teams’ work and contributions.