A study from 2026 by Li Quan introduces the Driver Sky View Index (DSVI) to quantify urban environmental complexity. The dataset likely contains results from a virtual reality simulation with 24 participants, using eye-tracking and driving behavior recordings across nine scenarios. It is stored in an XLS file and shared under a CC-BY-4.0 license.
Use Cases
- Modeling the relationship between visual field metrics and driving load based on the reported DSVI correlation (R²=0.641)
- Identifying safety-optimizing environmental thresholds based on the described DSVI range of 0.241 to 0.397
- Benchmarking driver visual and operational responses in simulated urban settings based on the described eye-tracking and behavior recording
Strengths
- Includes data from 24 participants, providing a basis for statistical analysis
- Derived from a controlled virtual reality simulation across nine distinct scenarios
- Quantifies a novel metric (DSVI) with a reported strong linear correlation to driving load
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 at 5.5 KB, indicating limited scope or highly aggregated results
Provenance
- Source
- figshare
- Collection Method
- Data was gathered via a virtual reality simulation, eye-tracking technology, and a synchronized driving behavior recording system.
- Time Range
- Study dated 2026
- Freshness
- Last updated 2026 05 08 17:30:24; freshness should be verified
- Geography
- null