UMANS is an easy to use crowd simulation tool. It is aimed to be used by scientific community, without any specific programming knowledges.
With UMANS, you can generate the trajectory of each agent of a crowd, by optimizing a cost function in a velocity space. UMANS can reproduce many types of local algorithms using a single general principle, which allows you to compare classical algorithms of crowd simulation.
The environment and goals are voluntarily kept simple, to focus on local interactions between agents. UMANS **does not** implement global path planning.
With UMANS, you can use many different cost functions and change their parameters as you wish. You can also create your own cost functions thanks to a generic architecture. You can also play with different optimisation methods.