Shadow obstacle model for realistic corner-turning behavior in crowd simulation
Shadow obstacle model for realistic corner-turning behavior in crowd simulation
复制标题
人群模拟中真实转弯行为的阴影障碍物模型
DOI：
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复制
发表时间：
2016
影响因子：
3
通讯作者：
Xingjian Lu
中科院分区：
文献类型：
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作者：
Gaoqi He;Yi Jin;Qi Chen;Zhen Liu;Wenhui Yue;Xingjian Lu
本文描述了一种新的模型，即阴影障碍模型，用于在人群仿真中生成逼真的转弯行为。这个模型的动机来自于人们在转弯时倾向于选择更安全的路线而不是更短的路线的观察。为了计算出一条更安全的路径，提出了一种优化方法来生成使智能体可视范围最大化的转弯规则。通过心理和物理力量的结合，建立了一个完整的人群模拟框架，以提供更真实的人群模拟。通过与实际实验数据的比较，我们证明了该模型能产生更真实的转弯行为。最后，通过一系列实验对模型进行了参数分析，验证了模型的可信度。
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.