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| Shadow obstacle model for realistic corner-turning behavior in crowd simulation |
| Gao-qi He, Yi Jin, Qi Chen, Zhen Liu, Wen-hui Yue, Xing-jian Lu |
| Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; MOE Key Laboratory of Geographic Information Science, East China Normal University, Shanghai 200241, China; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China; College of Information Science and Technology, Ningbo University, Ningbo 315211, China |
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Abstract This paper describes a novel model known as the shadow obstacle model to generate a realistic corner-turning behavior in crowd simulation. The motivation for this model comes from the observation that people tend to choose a safer route rather than a shorter one when turning a corner. To calculate a safer route, an optimization method is proposed to generate the corner-turning rule that maximizes the viewing range for the agents. By combining psychological and physical forces together, a full crowd simulation framework is established to provide a more realistic crowd simulation. We demonstrate that our model produces a more realistic corner-turning behavior by comparison with real data obtained from the experiments. Finally, we perform parameter analysis to show the believability of our model through a series of experiments.
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Received: 06 August 2015
Published: 07 March 2016
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基于影子障碍物模型的真实感人群转弯行为模拟
目的：在人群仿真领域中，对行人转弯行为的模拟有待深入研究。现有的模型(如Rojas等)采用预定义曲线的方法模拟行人转弯轨迹，模拟结果缺乏真实感，并不能体现出人群行为的多样性以及行人的心理特征。为了模拟更加具有真实感的人群转弯行为，本文考虑了行人在转弯时扩大视野的安全决策行为，提出了影子障碍物模型和一个完整的、有效的人群模拟框架。
创新点：提出影子障碍物模型，以模拟行人转弯时扩大视野的安全决策行为；提出了集成心理力和物理力的人群模拟框架。
方法：建立影子障碍物相关概念；以行人扩大视野为切入点，制定模拟转弯行为的相关规则，可以判断行人是否处于转弯状态以及如何获得最佳的速度方向。结合全局路径规划、局部行为模拟和物理模拟建立了人群仿真框架。利用该框架进行相关实验，验证模型的准确性和有效性。
结论：本文的模型可以较真实地模拟出行人转弯轨迹（图9）；与Rojas等人的模拟结果相比，本文的模型可以较好地刻画行人的心理特征和人群行为的多样性（图10、15）
关键词：
转弯行为,
人群仿真,
安全心理,
基于规则的模型
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