https://github.com/arshtiwari2004/waygen
WayGen is an AI-powered traffic management system
https://github.com/arshtiwari2004/waygen
deepsort docker flask mapmyindia-api mongodb opencv raspberry-pi websocket yolov8
Last synced: 6 months ago
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WayGen is an AI-powered traffic management system
- Host: GitHub
- URL: https://github.com/arshtiwari2004/waygen
- Owner: ArshTiwari2004
- Created: 2025-03-08T06:15:22.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-03-11T04:46:48.000Z (11 months ago)
- Last Synced: 2025-06-21T20:04:27.599Z (8 months ago)
- Topics: deepsort, docker, flask, mapmyindia-api, mongodb, opencv, raspberry-pi, websocket, yolov8
- Language: JavaScript
- Homepage: https://waygen.vercel.app
- Size: 47 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Waygen: AI-Powered Smart Traffic Management System
AI-powered roads, seamless journeys – Built with MapMyIndia
|
Click the button above to visit the live version of the WayGen project hosted on Vercel.
[](https://opensource.org/licenses/MIT)
[](https://www.python.org/downloads/)
[](https://reactjs.org/)
[](https://flask.palletsprojects.com/)
## 🌟 Overview
Waygen is an AI-driven Smart Traffic Management System designed to revolutionize urban mobility by integrating computer vision, IoT, and geospatial intelligence. Our solution addresses the critical challenges of urban traffic congestion through real-time monitoring, analysis, and optimization.
## 🚦 Problem Statement
Urban traffic congestion is a major challenge, leading to:
- Delays and wasted time
- Increased fuel consumption and pollution
- Higher accident rates
- Emergency vehicle delays
- Inefficient traffic flow
Conventional traffic lights operate on fixed timers which do not adapt to real-time traffic conditions. This causes:
- Wasted green lights on empty lanes
- Vehicle pile-ups in congested directions
- Long queues and increased delays
- Emergency vehicle struggles in critical situations
- Outdated systems compared to modern smart adaptive solutions
## 💡 Our Solution
WayGen revolutionizes traffic management through:
- **AI-driven traffic analysis** - YOLO-based vehicle detection continuously monitors traffic flow
- **Dynamic signal adjustment** - Traffic lights adapt in real-time based on congestion patterns
- **IoT integration** - Raspberry Pi-powered signal controllers ensure seamless optimization
- **Geospatial intelligence** - MapMyIndia integration provides real-time navigation and alternative routes
- **Emergency vehicle prioritization** - Automatic detection and signal adjustment for emergency vehicles
- **Congestion prediction** - AI models analyze patterns to prevent bottlenecks before they occur
## 🔑 Core Features
- ✅ **AI-based Real-time Traffic Light Control**
- Monitors traffic density and adjusts signal timings dynamically
- Reduces wait times and improves traffic flow efficiency
- ✅ **Emergency Vehicle Detection & Prioritization**
- Detects sirens and visual identification of emergency vehicles
- Automatically adjusts signals to create green corridors
- ✅ **Live Traffic Congestion Heatmap**
- Visualizes congestion levels across the monitored area
- Helps users identify and avoid traffic hotspots
- ✅ **Alternate Route Recommendations**
- Suggests optimal alternative routes during heavy traffic
- Integrates with MapMyIndia for accurate navigation
- ✅ **Traffic Flow Predictions**
- Analyzes historical data to predict future congestion patterns
- Enables proactive traffic management strategies
## 🔧 Technical Architecture
### Components Overview
1. **Data Collection Layer**
- CCTV cameras & drones capture live video feeds
- Microphone sensors detect emergency vehicle sirens
- IoT devices (Raspberry Pi & Arduino) process sensor inputs
2. **AI Processing Layer**
- YOLOv8 for vehicle detection and classification
- DeepSORT for vehicle tracking
- OpenCV for image processing
- Flask for API management
3. **Backend Processing**
- MongoDB for data storage
- WebSocket for real-time communication
- Traffic analysis algorithms
4. **Frontend Dashboard**
- React-based responsive interface
- Real-time traffic analytics visualization
- MapMyIndia integration for geospatial display
5. **Signal Control System**
- Priority-based signal switching for emergency vehicles
- Adaptive traffic light control based on congestion analysis
## 💻 Technology Stack
### Frontend
- **React** - UI library for building the dashboard
- **MapMyIndia SDK** - For maps integration and geospatial visualization
- **WebSocket** - For real-time communication with the backend
### Backend
- **Flask** - Python web framework for the API
- **MongoDB** - Database for storing traffic data and patterns
- **WebSocket** - For real-time data transmission
### AI & Computer Vision
- **YOLOv8** - For real-time object detection
- **DeepSORT** - For object tracking
- **OpenCV** - For image processing
- **Python** - Primary programming language
### Hardware
- **Raspberry Pi** - For edge computing and signal control
- **Arduino** - For sensor integration
- **CCTV Cameras** - For traffic monitoring
## 🚀 Getting Started
### Prerequisites
- Python 3.8+
- Node.js and npm
- MongoDB
- MapMyIndia API key
### Installation
1. **Clone the repository**
```bash
git clone https://github.com/ArshTiwari2004/Waygen.git
cd Waygen
```
2. **Setup Frontend**
```bash
cd traffic-monitoring/frontend
npm install
```
3. **Create a .env file in the root of the frontend directory with:**
```bash
VITE_MAPPLS_SDK_KEY=your_mapmy_india_sdk_key
```
4. **Start the development server:**
```
npm run dev
```
5. **Setup Backend - Create and activate a virtual environment:**
```
python -m venv venv
venv\Scripts\activate # Windows
source venv/bin/activate # Linux/Mac
```
6. **Install the required packages:**
```
pip install -r requirements.txt
```
7. **Start the Flask server:**
```
python backend/flask_api.py
```
# Project Structure
```markdown
Waygen/
├── .git/
├── .ipynb_checkpoints/
├── .vscode/
├── traffic-monitoring/
│ ├── backend/
│ ├── data/
│ ├── frontend/
│ ├── notebooks/
│ ├── simulation/
│ └── yolov8n.pt
└── README.md
```
## 🔮 Future Enhancements
- AI-powered license plate recognition
- Reinforcement learning can optimize signal patterns dynamically based on historical and real-time traffic flow
- Detect accidents or vehicle breakdowns.
## 🤝 Contributing
#### Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (git checkout -b feature/amazing-feature)
- Commit your changes (git commit -m 'Add some amazing feature')
- Push to the branch (git push origin feature/amazing-feature)
- Open a Pull Request