Application made in Visual Studio 2022 in C# Windows Form for fuel calculation and pit stop strategy in Assetto Corsa Competizione. Originally created in Python.
-
Updated
Jun 9, 2024 - C#
#
pit-strategy
Here are 6 public repositories matching this topic...
MATLAB pit stop strategy model for the Daytona 500. Models fuel windows, strategy comparison, and caution period decision logic for NASCAR race engineering.
-
Updated
Mar 10, 2026 - MATLAB
Pit Window is a real-time Formula 1 race strategy simulation and modeling engine. It ingests live lap telemetry, filters out fuel weight variables, and dynamically calculates tire degradation using linear regression to recommend optimal pit-stop timing (e.g., Stay Out, Pit Now, or Pit in 2/3 Laps) via a modern Next.js dashboard.
python real-time typescript analytics simulation nextjs linear-regression telemetry predictive-modeling chaos-testing fastapi race-strategy-tools formula1-data-analysis pit-strategy
-
Updated
Jun 24, 2026 - Python
Apex Racing F1 Tire Strategy Engine — Real-time tire degradation ML model, pit stop decision support, and competitive benchmarking dashboard. 18-tab D3.js dashboard, live telemetry WebSocket, physics-informed ML inference, mini-services architecture.
machine-learning typescript dashboard racing sqlite nextjs telemetry socketio d3js f1 bun prisma formula-1 pit-strategy tire-strategy apex-racing
-
Updated
Sep 18, 2026 - TypeScript
A Formula 1 race strategy analyst that pulls real timing data, remembers past analyses, and explains pit stop decisions, tyre strategies, and driver comparisons with confidence scores.
python formula1 postgresql telemetry f1 rag fastapi fastf1 llm pgvector race-strategy pit-strategy tyre-degradation
-
Updated
Jun 9, 2026 - Python
A multi-season F1 case study (2022–2025) using FastF1 data to quantify how tire strategy and pit timing separate podium finishers from the field, benchmarked for the F1 La Scuederia Ferrari HP Team. Python · Tableau
-
Updated
Aug 5, 2026 - Python
Add this topic to your repo
To associate your repository with the pit-strategy topic, visit your repo's landing page and select "manage topics."