To facilitate the appropriation of this benchmark, three different applications are presented consecutively. The first uses the benchmark through a mixed-integer linear program. In the two other applications, the same potential fields control approach is the focus, in simulation (second application) and in real experiments (third application).For each application, the benchmarking process is strictly applied, and the three steps (i.e., data preparation, experimentation and reporting) are given in detail.

These applications do not consider complex data sets since they are provided just for illustration purpose. Designing complete, exhaustive studies using the benchmark is beyond the scope of this paper. Meanwhile, the variety from the three proposed applications enable to show how this benchmark can be used with an OR approach (first application) or a control approach (second and third applications), and for the control approach, both in simulation (second application) and in a real system (third application). Of course, full, in-depth studies will be led in the near future, featuring innovative scientific approaches.