A demand management and frequency settings model for complying to the COVID-19 capacity limits in public transport operations
This repository contains the software code and the documentation of a model that sets the frequencies of public transport lines and derives the Pareto optimal demand management strategies considering the pandemic-imposed vehicle capacities due to COVID-19.
In case you use this code for scientific purposes, you can cite the paper "A model for modifying the public transport service patterns to account for the imposed COVID-19 capacity" once it is publicly available.
Note that the script is written in Python. Running or modifying this script requires an installed version of Python 3.6. In addition, the mathematical model is solved with the use of Gurobi 9.0.3. You would need a Gurobi license to obtain an optimal solution.
To implement the model, you would need to create text files with your dataset following the provided documentation.