Most recent crowd simulation algorithms equip agents with a synthetic vision component for steering. They offer promising perspectives through a more realistic simulation of the way humans navigate according to their perception of the surrounding environment. In this paper, we propose a new perception/motion loop to steering agents along collision free trajectories that significantly improves t...

In this paper, we present a comparison between controlled laboratory experiments and crowd-sourcing techniques for gathering consumer terms. We discuss the difference between the data gathered from these techniques and how crowd-sourcing can be used to increase engagement and seek feedback from your customers via the internet or other digital methods. As a case study, we present a new set of un...

Artificial intelligence is frequently used to control virtual characters in movies and games. When these characters appear in crowds, controlling them is called crowd simulation. In this paper, I suggest that crowd simulation could be accomplished by multi-agent reinforcement learning, a method by which groups of agents can learn to act autonomously in their environment. I present a case study ...

Crowds are part of our everyday experience; nevertheless, in virtual worlds they are still relatively rare. In the past, main reasons hindering a wider use of virtual crowds in the real-time domain were their high demands on both general and graphics performance coupled with high costs of content production. The situation is, though, changing fast; market forces are pushing performance of the c...

Crowd behavior simulation has been an active field of research because of its utility in several applications such as emergency planning and evacuations, designing and planning pedestrian areas, subway or rail-road stations, besides in education, training and entertainment. The most advanced and realistic simulation systems employ intelligent autonomous agents with a balance between individual ...

Crowd dynamics has been investigated for several years by many researchers. Computer based models prove to offer the optimum way to simulate the crowd dynamics especially in situations that need simulation of realistic behaviour such as in the emergency situations. In this paper, an individual-based model to simulate the behaviour of human crowd is developed. Using the artificial potential fiel...

Crowdsourcing is an emerging area and has evolved as a powerful practice to leverage the collective intelligence of the crowd. It has been applied in various domains ranging from creative resolution of a problem to improving the business process using several platforms such as CrowdFlower, Freelancer and Amazon Mechanical Turk. Crowd is a creative workforce that has niche abilities to solve com...

This paper presents a review of current research in the area of real-time crowd simulation. Crowd simulation has many diverse uses, for example in safety modelling, entertainment software, architecture and urban modelling applications. We describe three main approaches to the problem fluid-based, cellular automata and particle-based, concentrating on the latter. Finally, we describe CrowdSim, a...

Modeling pedestrian traffic at the micro-level is a relatively young research area. The key to success is driven on the ability to appropriately model crowd behavior that arises in pedestrian traffic. One method of validation for such simulation models examines their ability to reproduce commonly observed crowd behavior. This paper demonstrates how commonly observed crowd behavior emerges from ...