VelocitySim is designed to simulate large-scale mobility events where numerous agents operate under diverse rules, terrains, and constraints. By integrating physics-based movement models with event-driven simulation, it can emulate realistic race conditions or logistics flows. The simulator processes agent performance data, visualizes positions, updates standings, and supports external integrations for analytics and predictive modeling. It can be adapted for motorsport analytics, smart-city traffic management, or autonomous drone coordination use cases.
Key Features:
Real-time simulation of multiple autonomous or human-controlled agents
Event-driven updates for collisions, checkpoints, or energy changes
Dynamic leaderboard that ranks agents by performance metrics
Modular architecture allowing plug-in integration for AI logic or telemetry APIs
Optional visualization dashboard for tracking positions and statistics live
Built With
- amazon-ec2
- amazon-web-services
- c++
- docker
- fastapi
- flask
- kafka
- matplotlib
- mqtt
- python
- redis
- socket.io
- three.js
- websockets
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