collective behavior in human crowds

We conducted collective behavior experiments with a human crowd of 30 members moving within the area of a basketball court. This collective motion was recorded using a dron. To generate a possible emergent phenomenon, simple rules were given to the crowd, namely, 1) To move within the basketball court, and 2) To try to stay together at all times, and the crowd was disturbed by a simulated attack. The emergent collective behavior was characterized by extracting individual paths and velocity vectors, and by introducing global and local order parameters. With the latter order parameters we identify that dynamic emergence –defined as an entanglement of rotational (levo and dextro), translational phases in time– is present in our experiment. A numerical model is also proposed, and several interaction rules are tested to see which is the most efficient at mimicking the human collective behavior.