Optimal AAM Meidcal Vertiport Location in California

This project optimizes the location of Advanced Air Mobility (AAM) medical vertiports using existing hospital heliports in California using a partial set covering problem.

Project Structure

• data/raw: Original datasets (Hospital Heliports, CA Zipcodes)
• data/processed: Coverage matrix generated by preprocessing
• notebooks:
  • 01_data_preprocessing.ipynb: Calculates Haversine distances and generates coverage matrix.
  • 02_optimization_model.ipynb: Solves the Partial Set Cover Problem using Gurobi.

Prerequisites (Environment)

The code has been tested in the following environment:

• Python 3.10.13
• Gurobi Optimizer (License required)

How to Run

1. Install dependencies: pip install -r requirements.txt
2. Run 01_data_preprocessing.ipynb to generate the coverage matrix.
3. Run 02_optimization_model.ipynb to find the optimal solution.