Vehicle Motion and Conflict Data for Freeway Diverging Areas in China

A dataset of vehicle motion parameters and surrogate safety measures (SSMs) extracted from 12 interchange diverging areas on two multilane freeways in China. The data includes 48 vehicle motion parameters and conflict labels at 30-second intervals, created by Feng Tang and last updated in April 2026. It is stored in an XLS file and is 9.5 KB in size.

Use Cases

• Training machine learning models for real-time crash prediction based on surrogate safety measures.
• Analyzing spatiotemporal patterns of lateral and longitudinal vehicle conflicts near exit ramps.
• Identifying key risk factors for dangerous driving using interpretability frameworks like SHAP.
• Designing warning systems for traffic safety management at freeway diverging areas.

Strengths

• Includes 48 vehicle motion parameters extracted via image recognition technology.
• Conflict data is labeled at a high temporal resolution of 30-second intervals.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is very small (9.5 KB), indicating a limited scope or sample size.

Provenance

Source

figshare

Collection Method

Data was gathered using image recognition technology to analyze 12 interchange diverging areas.

Time Range

The temporal coverage of the underlying study is not specified.

Freshness

Last updated 2026-04-29 17:54:55; freshness should be verified.

Geography

Data is from two multilane freeways in China.