The Green Wave project aims to revolutionize urban traffic management by introducing an intelligent, eco-friendly traffic control system. This open-source initiative incorporates machine learning, V2V communication, and swarm intelligence to optimize traffic flow, reduce congestion, and minimize environmental impact.

• TrafficControl: Open-source traffic light control system dynamically adjusting signal timings using machine learning algorithms.
• V2V Communication: Enables vehicles to communicate traffic events and optimize traffic flow.
• Swarm Intelligence: Facilitates dynamic adjustments to vehicle speeds based on real-time data.
• Dynamic Route Planner: Provides vehicles with optimal routes, considering both traffic conditions and environmental impact.
• Eco-Routing: Promotes fuel efficiency by guiding vehicles through environmentally friendly routes.

• Python (>=3.6)
• NetworkX library: Install using pip install networkx

1. Clone the repository:

git clone https://github.com/yourusername/green-wave.git
cd green-wave

2. Install dependencies:

pip install -r requirements.txt

1. Run the main simulation:

python main.py

2. Enter the number of vehicles, initial speeds, and simulation time steps when prompted.

• communication: Contains modules for V2V communication and traffic event management.
• intelligence: Houses swarm intelligence and dynamic route planning modules.
• infrastructure: Includes the main traffic simulator and road network infrastructure.
• routing: Consists of eco-routing and route calculation logic.
• vehicle.py: Defines the Vehicle class.

We welcome contributions!