A Queuing Model Based on Social Attitudes

Abstract

Modern pedestrian simulation models have to deal with queuing to obtain realistic results. Queues control the number of pedestrians entering or leaving an area and, through this, the number of pedestrians inside that area. Furthermore they impede passing pedestrians. But how do humans decide on a queuing strategy? And how does this effect the form of the emerging queue? Based on dynamic floor fields for navigation and a simple heuristic decision mechanism we present a computer model that is able to capture different queuing patterns that we observe in every day life. For this we assume that there are two basic attitudes, aggressive competition and cooperative getting in line. Pedestrians can switch between these strategies.