BikeScout | Encyclopedia of Cycling Intelligence
Description: The master directory of BikeScout's tactical algorithms. Explore the science behind TAEL, Geodesic Accuracy, and Shadow Persistence.
Keywords: Cycling Intelligence, MTB Algorithms, Geodesic Distance, TAEL Model, Shadow Persistence, Geospatial AI, hifly81, BikeScout

# BikeScout Encyclopedia

Deep-dive into the geospatial algorithms and photonic models powering the next generation of cycling intelligence.

## TAEL Model

Terrain-Aware Evaporation Lag. Predicting soil saturation through precipitation memory and drainage coefficients.

Read Protocol →

## Geodesic Accuracy

Defeating map distortion. Using the Haversine formula to ensure 1:1 precision in distance and gradient telemetry.

Explore Geometry →

## Shadow Persistence

Identifying Thermal Iceboxes. Analyzing solar azimuth and slope aspect to reveal invisible trail hazards.

Analyze Shadows →

## Safety Thresholds

Transforming raw weather telemetry into tactical gear and safety advice using multi-factor DST logic.

Check Thresholds →

## ASI Setup

Actionable Setup Intelligence. Dynamic PSI and mechanical optimization based on rider weight, terrain compliance, and mud flotation.

Adjust Setup →

## Pro-Climb Scale

Beyond elevation. Re-categorizing ascents using bike-specific effort multipliers (Enduro/MTB/Road) and gradient intensity.

View Categories →

## S-Scale Grading

Standardizing technical difficulty. From S0 flow to S5 extreme terrain, based on international mountain trail benchmarks.

Check Difficulty →