Live Motorsport Timing, Purple-Sector Telemetry & Steward Analyzer
“Extract Live Track Telemetry & Compute Theoretical Optimal Purple-Sector Lap Deltas in Real Time Without Expensive Hardware Loggers.”
High-frequency race timing and sector telemetry analyzer for SpeedHive / Mylaps and Assetto Corsa shared-memory bridges: filters yellow-flag and pit-in/out outlier laps, computes purple-sector theoretical optimal lap times, and grades driver consistency in milliseconds.
CLAIM: Automated flying-lap isolation and millisecond-accurate theoretical optimal purple-sector lap calculation. PROOF: Deterministic motorsport stint analyzer (skills/live-motorsport-timing-extractor/motorsport_timing_analyzer.py --selftest PASS).
How do race engineers and track stewards extract live sector timing, isolate clean flying laps, and calculate theoretical best laps automatically?
Aria’s Motorsport Timing Extractor hooks directly into live WebSocket/JSON timing feeds and sim-rig shared memory, automatically strips out pit and yellow-flag caution laps exceeding 115% of median pace, and calculates each driver’s exact theoretical optimal lap (sum of purple S1+S2+S3 sectors) and consistency standard deviation in milliseconds.
Production Stack
Proven Production Guarantees
- Automatically filters out pit-in, pit-out, and full-course caution laps (>115% of session median) so race engineers only analyze clean flying-lap pace.
- Computes each driver’s exact theoretical best lap (`min(S1) + min(S2) + min(S3)`) and quantifies time left on the table to the millisecond.
- Calculates flying-lap standard deviation across full stints to rank driver consistency for endurance strategy and steward audits.
Implementation & Verification Runbook
Execute the timing analyzer self-test to verify pit-lap outlier filtering and theoretical optimal lap calculation.
python skills/live-motorsport-timing-extractor/motorsport_timing_analyzer.py --selftest