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CA-ICA Traffic Optimization is a smart transportation research project that applies Cultural Algorithm (CA) and Imperialist Competitive Algorithm (ICA) to optimize urban traffic systems, public transportation networks, and bus allocation through AI-driven simulation models.
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CA-ICA Traffic Optimization is a smart transportation research project that applies two metaheuristic optimization algorithms — Cultural Algorithm (CA) and Imperialist Competitive Algorithm (ICA) — to solve intelligent urban traffic optimization problems.
The project focuses on improving traffic efficiency, optimizing transportation infrastructure, and balancing urban mobility systems through simulation and evolutionary computation techniques.
CA-ICA Traffic Optimization is an intelligent traffic optimization system that uses evolutionary algorithms to simulate and optimize public transportation networks, bus allocation, and urban traffic center positioning for smart city environments.
Traffic Optimization, Intelligent Transportation System, Cultural Algorithm, Imperialist Competitive Algorithm, Smart City, Artificial Intelligence, Python, Evolutionary Algorithm, Traffic Simulation, Urban Mobility, Data Visualization, Transportation Research
| Technology | Description |
|---|---|
| Python | Main programming language |
| NumPy | Numerical computation |
| Pandas | Data analysis |
| Matplotlib | Data visualization |
| Jupyter Notebook | Experiment environment |
CA-ICA-Traffic-Optimization
├── data
├── models
├── ca_main.py
├── ica_main.py
├── README.md
└── requirements.txt
git clone https://github.com/your-username/ca-ica-traffic-optimization.git
cd ca-ica-traffic-optimization
pip install -r requirements.txt
python ca_main.py
python ica_main.py
CA-ICA Traffic Optimization is suitable for:
Upcoming planned features:
Contributions are welcome.
MIT License