This is a stable version of the OASIS activity-based framework. This repository includes the simulation code, based on the Python API of the CPLEX solver.
For more details, you can find the technical reports in the Literature folder, and the full documentation here.
We recommend creating a new environment using the provided requirements file to install the correct packages. NB: You need a valid CPLEX user license to use the solver, which can be obtained here.
An example of how to run the simulator is provided in the demo notebooks. Your main function should be added in the runner script, which you can run by typing the following command:
python runner.py
If you found this repository useful, you can acknowledge the authors by citing:
- Pougala, J., Hillel, T., and Bierlaire M. (2023) OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions, Transportation Research Part C: Emerging Technologies, vol. 155, p. 104291, DOI: https://doi.org/10.1016/j.trc.2023.104291