Algorithms for microscopic crowd simulation: Advancements in the 2010s
The real‐time simulation of human crowds has many applications. Simulating how the
people in a crowd move through an environment is an active and ever‐growing research …
people in a crowd move through an environment is an active and ever‐growing research …
GREIL-crowds: crowd simulation with deep reinforcement learning and examples
Simulating crowds with realistic behaviors is a difficult but very important task for a variety of
applications. Quantifying how a person balances between different conflicting criteria such …
applications. Quantifying how a person balances between different conflicting criteria such …
Parameter estimation and comparative evaluation of crowd simulations
We present a novel framework to evaluate multi‐agent crowd simulation algorithms based
on real‐world observations of crowd movements. A key aspect of our approach is to enable …
on real‐world observations of crowd movements. A key aspect of our approach is to enable …
A statistical similarity measure for aggregate crowd dynamics
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 …
observed, real-world data and visual simulation technique for aggregate crowd motions of a …
Ccp: Configurable crowd profiles
Diversity among agents' behaviors and heterogeneity in virtual crowds in general, is an
important aspect of crowd simulation as it is crucial to the perceived realism and plausibility …
important aspect of crowd simulation as it is crucial to the perceived realism and plausibility …
Going through, going around: A study on individual avoidance of groups
When avoiding a group, a walker has two possibilities: either he goes through it or around it.
Going through very dense groups or around huge ones would not seem natural and could …
Going through very dense groups or around huge ones would not seem natural and could …
Navigation and steering for autonomous virtual humans
The ever‐increasing applicability of interactive virtual worlds in industry and academia has
given rise to the need for robust, versatile autonomous virtual humans to inject life into these …
given rise to the need for robust, versatile autonomous virtual humans to inject life into these …
Heterogeneous crowd simulation using parametric reinforcement learning
Agent-based synthetic crowd simulation affords the cost-effective large-scale simulation and
animation of interacting digital humans. Model-based approaches have successfully …
animation of interacting digital humans. Model-based approaches have successfully …
Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models
This paper analyzes the emergent behaviors of pedestrian groups that learn through the
multiagent reinforcement learning model developed in our group. Five scenarios studied in …
multiagent reinforcement learning model developed in our group. Five scenarios studied in …
Height map-based social force model for stairway evacuation
The stairway is ubiquitous in public places like shop** mall, theater and stadium. Due to
the unevenness of the ground, the staircase often brings about undesirable effects in …
the unevenness of the ground, the staircase often brings about undesirable effects in …