Benchmarks for MIP rail scheduling

This benchmark provides ten test cases for integrated locomotive scheduling and driver rostering problem in rail freight. They are developed in colaboration with DB Cargo Polska S.A.

Description

The aim of this benchmark is to provide the basis for comparison of various solution algorithms and approaches against a realistic dataset, reflecting the trains to be performed in February 2020, the available locomotives and drivers, as well as information about the compatibilit. All the benchmark cases are included in the instances directory. A step-by-step guide on how to use these benchmarks can be found in documentation directory.

Benchmark execution

The benchmark case can be run using the script files main.py at each instance subfolder.

Run Jupyter notebooks

The entire benchmark repository can be executed in a provided Docker container where a full installation of Gurobi is available. Once you have clone or downloaded this repository, to build the container just type

docker build -t benchmarks-mip-rail-scheduling . 

and for running it locally:

docker run -it --rm -p 8888:8888 benchmarks-mip-rail-scheduling jupyter-lab --ip=0.0.0.0 --port=8888 --allow-root

Alternatively, please use the following link to run a user-friendly Jupyter Notebook (Benchmark.ipynb) with different instances. For instance, Benchmark 1W_4 is available at: . Please, notice that mybinder cloud computations are limited to 2GB of RAM memory.

Disclaimer

In downloading this SOFTWARE you are deemed to have read and agreed to the following terms: This SOFTWARE has been designed with an exclusive focus on civil applications. It is not to be used for any illegal, deceptive, misleading or unethical purpose or in any military applications. This includes ANY APPLICATION WHERE THE USE OF THE SOFTWARE MAY RESULT IN DEATH, PERSONAL INJURY OR SEVERE PHYSICAL OR ENVIRONMENTAL DAMAGE. Any redistribution of the software must retain this disclaimer. BY INSTALLING, COPYING, OR OTHERWISE USING THE SOFTWARE, YOU AGREE TO THE TERMS ABOVE. IF YOU DO NOT AGREE TO THESE TERMS, DO NOT INSTALL OR USE THE SOFTWARE

Acknowledgments

The ROMSOC project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 765374. This repository reflects the views of the author(s) and does not necessarily reflect the views or policy of the European Commission. The REA cannot be held responsible for any use that may be made of the information this repository contains.