Comparison of basic Helbing's model against MACES+HiDAC during extreme panic situations
This video shows the differences between using Helbing’s model as it is and our approach. As it can be observed, Helbing’s model works well for 2D simulations when the individuals are represented by dots, but when trying to animate 3D figures (even if they are simple representations of humans) the model lacks realism. The figures behave more like particle simulation than like real crowds of human beings.
High density crowd with red-head people pushing
This video shows a medium and high density crowds in which some of the individuals (red-head) are either impatient or in panic. The video shows how the majority of the individuals have an organized behavior (waiting for others to move, respecting personal distances, etc) while the individuals with red-hair have an agitated behavior. This behavior is achieved by increasing their speed (running behavior), not respecting inter-personal distances, and letting them push others in order to open their way through the crowd.
High density crowd with organized behavior
This video shows an organized crowd. As it can be observed, this could simulate people leaving a building (university, theater, etc) under no rush or panic. Individuals tend to form lines, and respect others’ path. This behavior is achieved by using waiting rules when there is no space available to make a move in the desired direction of movement. By tuning the tangential forces between agents to avoid collision, we can choose between simulating more or less line formation (e.g. forming lines of one, or wider lines)