[UMANS](https://project.inria.fr/crowdscience/project/ocsr/umans/)(short for Unified Microscopic Agent Navigation Simulator) is an easy to use crowd-simulation engine that models each person in the crowd as an intelligent agent (i.e., the simulation is "microscopic"). UMANS currently focuses on the *local* aspects of navigation.
[UMANS](https://project.inria.fr/crowdscience/project/ocsr/umans/)(short for Unified Microscopic Agent Navigation Simulator) is an easy-to-use crowd-simulation engine that models each person in the crowd as an intelligent agent (i.e., the simulation is "microscopic"). UMANS currently focuses on the *local* aspects of navigation.
Many algorithms for microscopic crowd simulation have been developed over the past decades. However, each implementation has its own settings and details that can greatly influence the results. The purpose of UMANS is to reproduce as many existing algorithms as possible via one principle, while unifying as many overall settings as possible. This allows for a more honest and meaningful comparison of simulation algorithms.