← Back to HelmetScore Database

STAR Methodology

Understanding Virginia Tech's bicycle helmet safety evaluation

What is STAR?

STAR (Summation of Tests for the Analysis of Risk) is Virginia Tech's proprietary methodology for evaluating bicycle helmet safety. Unlike basic safety certifications that only test pass/fail criteria, STAR provides nuanced safety scores that allow meaningful comparisons between helmet models.

Key Innovation

STAR methodology simulates real-world cycling accidents using impact data from actual crash scenarios, providing more relevant safety assessments than traditional laboratory testing alone.

Testing Protocol

Impact Locations

  • • Front impact zone
  • • Front boss (forehead area)
  • • Side impact zone
  • • Rear impact zone
  • • Top impact zone

Impact Velocities

  • • 4.8 m/s (10.7 mph)
  • • 5.5 m/s (12.3 mph)
  • • 6.2 m/s (13.9 mph)
  • • Various angles and orientations
  • • Multiple impact scenarios

Test Conditions

Each helmet model undergoes standardized impact tests using a custom-built testing apparatus. The system measures linear and rotational acceleration during impacts, simulating forces that can cause both focal and diffuse brain injuries.

Temperature:
Controlled laboratory conditions
Samples:
Multiple helmets per model
Measurements:
High-speed data acquisition

STAR Scoring System

Lower Scores = Better Protection

STAR scores represent relative risk levels. A helmet with a score of 8.0 provides significantly better protection than one with a score of 15.0. The scale is logarithmic, meaning small differences in scores represent meaningful differences in protection levels.

⭐⭐⭐⭐⭐
5 Stars (≤ 10.0)
Excellent protection - Top-tier safety performance
⭐⭐⭐⭐
4 Stars (10.1-15.0)
Good protection - Above-average safety performance
⭐⭐⭐
3 Stars (15.1-20.0)
Fair protection - Meets safety standards
⭐⭐
2 Stars (20.1-25.0)
Marginal protection - Consider upgrading
1 Star (> 25.0)
Not recommended - Poor safety performance

Research Foundation

Crash Data Analysis

Virginia Tech researchers analyzed thousands of real cycling accidents to understand impact locations, velocities, and injury patterns. This data directly informs the STAR testing protocol.

  • • Emergency department records
  • • Police accident reports
  • • Insurance claim data
  • • Helmet damage analysis

Biomechanical Modeling

Advanced computer models simulate how impact forces translate to brain tissue deformation, providing insight into injury mechanisms and helmet protective capabilities.

  • • Finite element analysis
  • • Brain injury thresholds
  • • Material property testing
  • • Impact dynamics modeling

Understanding Limitations

While STAR methodology represents the most comprehensive bicycle helmet evaluation available, it's important to understand its scope and limitations:

  • Laboratory conditions: Testing occurs in controlled environments that may not capture all real-world variables
  • Impact scenarios: Tests simulate common accident types but cannot cover every possible crash scenario
  • Individual variation: Helmet fit, wear patterns, and user behavior affect real-world protection
  • Technology evolution: New helmet technologies may not be fully captured by existing test protocols

Data Accuracy & Updates

HelmetScore Commitment

All safety scores in our database come directly from Virginia Tech's official publications. We do not modify, adjust, or interpret the original research data.

Regular Updates

As Virginia Tech publishes new helmet evaluations, we update our database to include the latest safety ratings and newly tested models.