ABSTRACT

This paper proposes a realistic agent-based framework for crowd simulations that can encompass the input phase, the simulation process phase, and the output evaluation phase. In order to achieve this gathering, the three types of real-world data (physical, mental and visual) need to be considered. However, existing research has not used all the three data types to develop an agent-based framework since current data gathering methods are unable to collect all the three types. This paper introduces anew hybrid data gathering approach using a combination of virtual reality and questionnaires to gather all three data types. The data collected are incorporated into the simulation model to provide realism and flexibility. The performance of the framework is evaluated and benchmarked to prove the robustness and effectiveness of our framework. Various types of settings (self-set parameters and random parameters) are simulated to demonstrate that the framework can produce real-world like simulation.

摘要

本文提出了一个现实的基于代理的人群模拟框架，它可以包含输入阶段、模拟过程阶段和输出评估阶段。为了实现这种收集，需要考虑三种类型的现实世界数据（物理、心理和视觉）。然而，现有的研究并没有使用所有三种数据类型来开发基于代理的框架，因为当前的数据收集方法无法收集所有三种类型。本文介绍了一种新的混合数据收集方法，该方法结合了虚拟现实和问卷调查来收集所有三种数据类型。收集的数据被合并到仿真模型中以提供真实性和灵活性。该框架的性能经过评估和基准测试，以证明我们框架的稳健性和有效性。