Adjust the inputs to model annual savings across fuel efficiency, collision risk reduction, and driver retention — by fleet type, region, and size.
Illustrative estimates only. Actual results will vary. See methodology below for all assumptions and sources.
These are benchmark estimates. A Geotab Vitality specialist can model your specific fleet, operating profile, and historical safety data to show what's actually achievable.
All figures are derived from published industry benchmarks and Geotab Vitality program data. The table and formulas below explain every number used in your estimate.
| Segment | Typical Operations | Miles/Yr | MPG | Blended Collision Cost | PCR (crashes/100k km) | Turnover Rate | Replace Cost | Gas % | Diesel % | EV/Hybrid % | Sources |
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PCR (Predictive Collision Rate) = model-predicted crashes per 100,000 km driven, sourced from Geotab fleet telemetry across 44,000+ commercial fleets across 5 regions (Apr 2026). Collision savings = PCR × fleet km / 100,000 × blended collision cost × improvement %. Blended collision cost = weighted average of major (injury) and minor (PDO) costs by industry mix. 50% unavoidable churn factor applied to retention savings. Costs are employer-facing (repair, medical, legal, downtime, admin) — not societal/QALY values. Regional costs sourced independently: NETS/FMCSA (US), CRISP/IBC (CA), DfT TAG 2023/HSE (UK), SafetyCube/ETSC (EU), BITRE/NRSPP (AU). S & E Europe, Mexico, and South Africa baselines are derived by regional analog: mileage, PCR, turnover and severity mix are proxied from the nearest telemetry region (S&E Europe ← W&N Europe; Mexico & South Africa ← US), and collision/replacement costs are scaled to local cost levels (S&E Europe ≈0.55–0.65× W&N Europe; Mexico ≈0.45–0.50× US; South Africa ≈0.25–0.30× US) using ETSC/SafetyCube (EU), INEGI/CANACAR (MX), and RTMC/RFA (ZA). These are illustrative estimates, not regional telemetry.