Abstract
The study of collective movement of pedestrians is crucial in various situations, such as evacuation of buildings, stadiums, or external events like concerts or public events. In such situations and under panic conditions, several incidents and disasters may arise, resulting in loss of human lives. Hence, the study and modeling of the pedestrians behavior are imperative in both normal and panic situations. In a previous work, we developed a microscopic model for pedestrian movement based on the algorithm of Ant Colonies and the principles of cellular automata. We took advantage of a fuzzy model to better reflect the uncertainty and vagueness of the perception of space to pedestrians, especially to represent the desirability or blurred visibility of virtual pedestrians. This paper uses the mechanism of artificial potential fields. Said fields provide virtual pedestrians with better visibility of their surroundings and its various components (goals and obstacles). The predictions provided by the first-order traffic flow theory are confirmed by the results of the simulation. The advantage of this model lies in the combination of benefits provided by the model of ants and artificial potential fields in a fuzzy modeling, to better understand the perceptions of pedestrians.
Highlights
Pedestrians’ dynamics are continuously affected by the design of their surroundings
Our model is based on the paradigm of two-dimensional cellular automata and ACO (Ant Colony Optimization) metaheuristic in its simplest version, without focusing on an optimization aspect that differs from our goal [23]
We present a virtual pedestrian simulation model
Summary
Pedestrians’ dynamics are continuously affected by the design of their surroundings. Their comfort and mobility become very important both inside public building and in open areas. Many studies have been carried out to evaluate these influences, either by traditional simulation tools or by developing models to serve modern pedestrian’s simulation Most of these models attempt to understand how space will affect pedestrians’ crowd flow and how to improve space designing in public transport. The bivalence of the conceptual structure characterizing probability theory is in fundamental conflict with reality, in which almost everything has a degree of truth It is this reality which is the starting point of fuzzy theory. Reference [4] introduced artificial potential concept for a first and small investigation without a deep development Another previous work presents a measurement of virtual pedestrians and vehicles’ mutual accidents risk indicator [5], where pedestrians’ dynamics are modeled using the basic fuzzy ant model [3], to which we have integrated artificial potential fields.
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