Human Telemetry Driving Dataset: 15 Laps of Simulated Vehicle Data

A driving telemetry dataset containing 15 laps of simulated vehicle data. The data is generated at 30Hz using a UE5 physics simulation and follows the style of the NGSIM dataset. The author, organization, and specific time range are not provided.

Use Cases

• Train trajectory prediction models based on the 30Hz telemetry data.
• Benchmark driver behavior classification algorithms using the NGSIM-style data format.
• Validate vehicle dynamics models against physics simulation outputs.
• Develop and test motion planning algorithms for autonomous systems.

Strengths

• Data is generated at a consistent 30Hz sampling rate.
• The dataset contains 15 laps of simulated driving, providing multiple episodes of behavior.
• Follows the established NGSIM data format, which may aid in cross-study comparison.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Generated via UE5 physics simulation.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null