Simulated Fleet Distance 0.0 mi
Collisions Avoided (TTC < 1.5s) 0
Near-Miss Disengagements 0
Fleet Safety Multiplier 7.8x
TELEMETRY: AUTONOMY ACTIVE
PERCEPTION LATENCY: 12ms (Neural Net)
MIN TIME-TO-COLLISION (TTC): Safe (>3.2s)
Fleet (Autonomy)
Civilian Traffic
Active Hazard
Sensor Frustum
Telemetry & Incident Log

[00:00.00] Fleet initialized. 10 vehicles dispatched under FSD Supervised perception mode.

Supervised Autonomy vs Human Reaction

Human drivers average 1,000ms to 1,500ms perception-to-brake latency, worsening to >2,500ms when tired or glancing at smartphones. A vision neural net operating at 36 fps detects velocity vectors and pedestrian paths in under 35ms, initiating regenerative and friction deceleration instantly.

  • 360-degree blind-spot zero occlusion
  • Continuous cross-traffic cross-product predictive paths
  • Zero fatigue variance over continuous 10-hour shifts

Fleet Economics of Jason Oppenheim's Bet

Replacing high-depreciation, high-maintenance ICE vehicles (like a Bentley Continental at ~$3.50/mile amortized) with electric Model Ys (~$0.48/mile amortized) for 10 employees eliminates approximately $180,000 in annual fuel, oil, and insurance risk while providing constant ADAS oversight.

  • Lower fleet liability insurance deductibles
  • Reduced employee stress during rush-hour broker visits
  • Elimination of high-risk human lane-drift occurrences

Empirical Crash Rate Benchmarks

National Highway Traffic Safety Administration (NHTSA) general crash statistics report approximately 1.33 vehicle crashes per million miles traveled in the United States. In comparison, Tesla’s Q1-Q4 vehicle safety reports record ~0.18 to 0.20 crashes per million miles when supervised autonomy is engaged.

  • ~7.4x to 8.2x improvement in crash avoidance
  • Active automatic emergency braking (AEB) backup
  • Real-time lane re-routing around construction closures
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