Of the many crowd behavior models, very few have been used in assisting crowd
management practice. This lack of usage is partly due to crowd management involving a …

Modeling pedestrian dynamics and their implementation in a computer are challenging and
important issues in the knowledge areas of transportation and computer simulation. The aim …

We present a new technique to generate heterogeneous crowd behaviors using personality
trait theory. Our formulation is based on adopting results of a user study to derive a mapping …

Grouping is a common phenomenon in pedestrian crowds and plays important roles in
affecting crowd behavior. Group modeling is still an open challenging problem and has not …

This approach extends the HiDAC (High-Density Autonomous Crowds) system by providing
each agent with a personality model based on the Ocean (openness, conscientiousness …

In the social psychology literature, crowds are classified as audiences and mobs. Audiences
are passive crowds, whereas mobs are active crowds with emotional, irrational and …

We present an information-theoretic method to measure the similarity between a given set of
observed, real-world data and visual simulation technique for aggregate crowd motions of a …

There is a peculiar method in the area of procedural narrative called emergent narrative:
instead of automatically inventing stories or deploying authored narrative content, a system …

This volume presents novel computational models for representing digital humans and their
interactions with other virtual characters and meaningful environments. In this context, we …

In this contribution we examined the effects on users during interaction with a virtual human
crowd in an immersive virtual reality environment. We developed an agent-based crowd …