Experiments conducted by researchers at Brown University have shown that every pedestrian in the
First, people try to move in such a way that their neighbors remain motionless in their perception.To do this, the speed and direction of movement of those walking next to each other must be the same.
Second, people prefer to have a field of view inmovement did not change. Such changes can occur when neighbors move closer or further away. Therefore, pedestrians in the crowd unconsciously try to fix the distance between themselves and their neighbors.
The researchers also found that participantsof the experiment most of all reacted to the movements of the nearest neighbors. Changes in the behavior of those who walked at a distance did not have a strong effect. This is due to two effects, scientists say: the laws of optics and the principles of occlusion. The movements of a distant object seem less pronounced to us, and pedestrians who walk at a distance are partially covered by the backs of their neighbors. This means that it becomes more difficult to track and predict their actions.
Study participants in a large open room wore VR headsets that showed animated people.For example, some people could turn in a different direction while everyone else continued to move straight.
The participants in the experiment were asked to move with the crowd, and the scientists tracked how changes in the behavior of virtual characters affected the trajectory of an individual's movement.
Based on the findings, the researchersbuilt a model that successfully predicts how each individual person in the crowd will move. According to the researchers, the effectiveness of the model has been proven both in virtual reality and for analyzing the movement of people in a real crowd.
“For the first time, we have used sensory data foranalysis of coordinated movements,” says William Warren, professor of cognitive, linguistic and psychological sciences at Brown University and one of the co-authors of the study. “The model takes into account what people in the crowd see, so we can make more accurate predictions about how the whole group will behave.”
Scientists note that forecasting modelscrowd movement wide scope. They can be used to plan public spaces, transport infrastructure, escape routes and emergency plans.
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