By modeling the expected crowd behavior, engineers have been able to design and plan buildings and public spaces in such a way, as to prevent any chances of deaths and serious injuries occurring. However, it has always been difficult to design such a virtual crowd which would be actually very realistic.
Europeans have solved the issue by following a simple model based on a cognitive factor of vision. By doing so, they have been able to predict the behavior of pedestrians in different types of crowds. This seems to be a progressive step in a field, which has been previously focusing on the models of physics only.
According to Drik Helbing, belonging to the Swiss Federal Institute of Technology in Zurich, one clear method has not been found which would be enough to describe the cognitive progresses of every single individual. However, with the use of this vision approach, the job has become a lot easier.
According to a study that has recently appeared in an issue of Proceedings of the National Academy of Sciences, the results were obtained by using a technique also used in previous researches, in which eye tracking data has helped in determining how people would predict the course of a ball, to catch it. A lot of other researchers have also suggested that walking is also controlled by vision, as it catching a ball. Therefore, it was hypothesized that by using visual factors such as the line of sight and visibility, it would become easier to model the crowd behavior.