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Dynamic social formations of pedestrian groups navigating and using public transportation in a virtual city

机译:在虚拟城市中导航和使用公共交通的步行者群体的动态社会形态

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Most prior crowd simulations do not have groups of people moving in a social manner. In our work, we use a two-level steering system based on two classes: group agent and pedestrian agent. By interpolating the current and desired slot positions of the group agent according to formation templates, dynamic social group formations can be achieved and can also adapt to the width of passageways using our robust and optimized ray casting technique. Based on this interpolation approach, slot-locking keeps subgroups in a group shoulder-to-shoulder regardless of the current formation assuming sufficient surrounding space exists. At times pal social gestures between adjacent members may occur. We also introduce the social FIFO queue to be used in situations such as waiting for the bus. In the subway scene, we describe a seating strategy for passengers entering the subway car and being aware of your presence. In an immersive evaluation using an Oculus DK2 head-mounted display, participants validated the realism of dynamic social group behavior for navigation and making use of public transportation.
机译:大多数先前的人群模拟都没有一群人以社交方式移动。在我们的工作中,我们使用基于两类的两级转向系统:组代理和行人代理。通过根据队形模板对当前和期望的座席代理位置进行插值,可以使用我们强大且经过优化的射线投射技术来实现动态的社会团体形成,并且还可以适应通道的宽度。基于这种插值方法,假设当前存在足够的周围空间,缝隙锁定将子组肩并肩地保持在一个组中,而与当前的形成无关。有时,相邻成员之间可能会出现好朋友的社交手势。我们还介绍了社交FIFO队列,该队列用于等待总线等情况。在地铁现场,我们描述了乘客进入地铁车厢并意识到您的存在的座位策略。在使用Oculus DK2头戴式显示器进行的身临其境的评估中,参与者验证了动态社交群体行为在导航和利用公共交通方面的真实性。

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