This paper presents a new approach to model crowd behaviour in normal and risky situations. Our model is based on human cognitive characteristics specially personality type, perception and emotion that we assume relevant to individuals’ behavioural decisions. The model supports an efficient interaction between the different architecture components to provide behaviour. A formal definition of co...

To produce impressive virtual worlds, real-time crowd simulations require large and detailed scenes populated by agents with complex shapes and geometry. For efficiency reasons, these agents are usually approximated by point-like representations to optimize the performances of collision avoidance and interactions between agents. This paper addresses the issue of handling deformable polygonal ag...

This paper proposes a generic data-driven crowd modeling framework to generate crowd behaviors that can match the video data. The proposed framework uses a dual-layer mechanism to model the crowd behaviors. The bottom layer models the microscopic collision avoidance behaviors, while the top layer models the macroscopic crowd behaviors such as the goal selection patterns and the path navigation ...

Crowd simulation can be considered as a special case of Virtual Environments where avatars are intelligent agents instead of user-driven entities. These applications require both rendering visually plausible images of the virtual world and managing the behavior of autonomous agents. The sum of these two requirements results in a computational cost that exponentially increases with the number of...

Realistic models of locomotion, accounting for both individual pedestrian behavior and crowd dynamics, are crucial for crowd simulation. Most existing pedestrian models have been based on ad-hoc rules of interaction and parameters, or on theoretical frameworks like physics-inspired approaches that are not cognitively grounded. Based on the cognitively-plausible behavioral dynamics approach, we ...

Crowd simulation is a daunting task due to the lack of a comprehensive analysis of crowd movement. In this paper, we present a novel unified model for crowd simulation involving human physiological, psychological, and physical factors. We reveal the inherent relationship between these factors ignored by previous methods: in terms of physiology, we present a method for the computation of human p...

Mass gatherings (MGs) are common phenomena with diverse crowd types and inherent problems, which need to be managed according to their level of complexity and potential of fatal outcomes. As such, for simple recurring MGs it is pragmatic to provide public health and safety through legislation and guidelines; whereas, complex infrequent MGs require specialized research and management. The Agent-...

Virtual environments can be used as a test bed for validation of human behavior simulation techniques since they place people within a simulated situation from an egocentric perspective. We propose level of presence achieved by a human in a virtual environment (VE) as a metric for virtual crowd behavior. Using experimental evidence from the presence literature and the results of a pilot experim...

Using computer to generate crowd animation to understand the behavior choice and making decision of individuals in crowd has become a trend in several fields. And group emotions have a great impact on group behaviors and group outcomes. Based on the researches of group emotions described by Hatifield, we propose a quantitative method to building the group emotion model which is focus on a group...