Traffic Simulation

Dynamic traffic routing system that recalculates optimal paths based on real-time traffic conditions.

What it does

• Simulates traffic flow in a road network using directed graphs
• Recalculates shortest paths dynamically as traffic conditions change
• Models congestion with exponential time penalties based on car density
• Demonstrates limitations of static navigation systems

Tech Stack

• Python 3
• Graph theory and shortest path algorithms (Dijkstra)
• Standard library: collections, heapq, copy

Setup and Installation

Clone the repository:

git clone https://github.com/acmpesuecc/traffic_simulation
cd traffic_simulation

Create and activate virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

Install dependencies:

pip install -r requirements.txt

Run the simulation:

python traffic.py

Usage

When prompted:

• Enter start point (e.g., A)
• Enter end point (e.g., F)
• Observe dynamic route recalculation as traffic redistributes

Project Structure

traffic_simulation/
├── traffic.py          # Main simulation script
├── requirements.txt    # Python dependencies
├── README.md          # Project documentation
├── CONTRIBUTING.md    # Contribution guidelines
└── LICENSE            # Open source license

Known Issues

Current implementation has several improvement opportunities:

• Bug in traffic propagation algorithm
• Missing Bellman-Ford alternative
• No graph visualization
• Inefficient data structures
• Limited library usage

See open issues for contribution opportunities.

Maintainers

• Rex-8

Contributing

See CONTRIBUTING.md for guidelines on:

• Setting up development environment
• Submitting bug reports
• Proposing enhancements
• Creating pull requests

License

This project is open source. See LICENSE file for details.