RACE AI - Unity Racing AI Simulation
May 9, 2025 · View on GitHub
Overview
GS RACE AI is a sophisticated Unity-based racing AI simulation project designed for autonomous vehicle behavior in racing scenarios. The project demonstrates professional-grade AI systems, advanced vehicle physics, and multi-agent racing capabilities.
This platform is ideal for research, game development, and AI-driven simulation for racing games.
Features
Vehicle Physics
- Realistic wheel colliders and suspension
- Configurable drive types: FWD, RWD, AWD
- 5-speed gear system with torque distribution
- Differential system for stability and torque vectoring
- Pacejka tire model for professional tire simulation
- Speed-adaptive steering sensitivity
- Advanced telemetry integration via
SpeedMeterUI
AI Systems
- Pathfinding using Unity NavMesh
- Rule-based decision making: braking, overtaking, reversing
- Multi-sensor obstacle detection (8 directions)
- Real-time opponent analysis and tactical behavior
- Drafting and cornering optimization
- Multi-agent team coordination
- Weather adaptation: Rain, Fog, Snow
Game & Scene Management
- Dynamic AI and player vehicle spawning
- Race position tracking and lap counting
- Smooth camera transitions
- Simulation speed controls and pause/reset functionality
- Multi-car race scenarios (2-4 AI cars)
- Player vs AI integration
- Complex urban and track environments
Editor & Debugging Tools
- Waypoints editor for custom track setup
- Gizmos for pathfinding and sensor debugging
- Dynamic UI system for per-vehicle telemetry
Technical Highlights
- Modular architecture using partial classes for clean separation
- Optimized AI pathfinding and sensor systems
- Plugin-ready design for extensibility
- Real-time adaptation for environment and opponent behavior
- Industry-standard physics and tire models
- Comprehensive debugging and telemetry tools
Scenes Overview
| Scene | Description |
|---|---|
| Scene 0 | Basic car controller & AI |
| Scene 1 | Car model showcase |
| Scene 2 | Static obstacle navigation |
| Scene 3 | Dynamic obstacle avoidance |
| Scene 4 | Player vs single AI |
| Scene 5 | Differential system demonstration |
| Scene 6 | 2 AI cars racing |
| Scene 7 | 4 AI cars competition |
| Scene 8 | Player vs 3 AI cars |
| City Scene | Complex urban environment racing |
Getting Started
Requirements
- Unity 2021.3+ or higher
- Windows/macOS/Linux
- Standard Input devices for player testing
Installation
- Clone the repository
git clone <repository-url>
- Open in Unity
- Load desired scene from
Scenes/folder - Press Play to run the simulation
Running AI Simulations
- Select AI vehicles and assign their behaviors
- Configure waypoint tracks
- Adjust weather parameters if needed
- Observe tactical decision-making and racing dynamics
Contributing
- Contributions are welcome via pull requests
- Please maintain descriptive commit messages
- Follow the modular architecture and naming conventions
License
This project is proprietary to Gamescepter. For commercial or research licensing, please contact Gamescepter.
References
- GS RACE AI Website
- Internal Project Documentation & Architecture Review
✅ Notes
- All core systems, AI modules, physics systems from your document included
- Scenes table added for clarity
- Clean Markdown, badges, headings — GitHub friendly
- “Getting Started” + “Contributing” sections included for repo usage