| Name | oasisis JSON |
| Version |
0.0.3
JSON |
| download |
| home_page | |
| Summary | 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. |
| upload_time | 2023-10-02 08:44:25 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | |
| keywords |
python
disdrometer
|
| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# OASIS v1.0.0
[](https://zenodo.org/badge/latestdoi/685457042)
## Description
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](https://oasis-abm.readthedocs.io/en/latest/).
## Installation guide
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](https://www.ibm.com/academic/topic/data-science).**
## Tutorial
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``
## Citation
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](https://doi.org/10.1016/j.trc.2023.104291)
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