Stile-sorting Critical Value: Driver Sky View Index and Safety Metrics from VR Simulation

A dataset from a study exploring the impact of environmental complexity on driving safety. It introduces the Driver Sky View Index (DSVI) as a visual field–based metric, with data collected from 24 participants using eye-tracking and driving behavior recording in nine virtual reality scenarios. The dataset, authored by Li Quan and last updated in May 2026, contains analysis results including a strong linear correlation between DSVI and driving load (R² = 0.641).

Use Cases

• Modeling the relationship between environmental complexity and driving safety based on the Driver Sky View Index (DSVI).
• Analyzing driver visual characteristics and operational responses based on eye-tracking and behavior data.
• Identifying optimal DSVI thresholds for safety improvement based on the reported range of 0.241 to 0.397.
• Evaluating urban traffic environment designs using the DSVI as a quantitative indicator.

Strengths

• Includes a novel, quantitatively defined metric (Driver Sky View Index) for environmental complexity.
• Data collection involved 24 participants and was conducted using controlled virtual reality simulations.
• Results show a statistically significant linear correlation (R² = 0.641, p < 0.05) between DSVI and driving load.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope, likely containing summary or analysis results rather than raw experimental data.

Provenance

Source

figshare, authored by Li Quan.

Collection Method

Data gathered via virtual reality simulation, eye-tracking technology, and a synchronized driving behavior recording system.

Time Range

The study period is not specified.

Freshness

Last updated 2026-05-08 17:30:23; freshness should be verified.

Geography

The geographic focus of the urban environments modeled is not specified.