In this paper, we present a generic and flexible framework for multi-agent based, real-time crowd simulation. Due to the modular arcitecture and the simple structure, all components can easily be modified or replaced. In contrast to many other crowd simulation systems available, our system is able to handle very different scenarios and behaviors with minimal adaptation effort. Furthermore, the ...

Existing research attempts to create realistic crowd simulations by incorporating personality and emotion into intelligent agents. However, personality and emotion were considered separately in existing studies, where the interactions of them are ignored. The main objective of this paper is to propose and implement a framework for crowd simulation with integration of the impacts and interaction...

We present an adaptive data-driven algorithm for interactive crowd simulation. Our approach combines realistic trajectory behaviors extracted from videos with synthetic multi-agent algorithms to generate plausible simulations. We use statistical techniques to compute the movement patterns and motion dynamics from noisy 2D trajectories extracted from crowd videos. These learned pedestrian dynami...