论文标题
静态人群中的行人不是谷物,而是游戏玩家
Pedestrians in static crowds are not grains, but game players
论文作者
论文摘要
人们普遍认为,在人群中,当地的行人导航(充其量)避免了最迫在眉睫的碰撞。我们表明,植根于这种信念的当前模型无法重现某些在侵入者越过密集的静态人群时实验证明的关键特征。我们将缺少的成分确定为行人在下一次互动之外计划其运动的能力,他们可能会在很短的时间内接受朝着密集的地区迈进。为了解决这一效果,我们引入了基于平均场游戏理论的最低模型,事实证明,该模型在复制上述观察结果以及其他涉及密集人群中的集体行为(例如部分地铁登机)方面非常成功。这表明了游戏方法能够捕捉到操作人群动态中的预期效果的能力。
The local navigation of pedestrians amid a crowd is generally believed to involve no anticipation beyond (at best) the avoidance of the most imminent collisions. We show that current models rooted in this belief fail to reproduce some key features experimentally evidenced when a dense static crowd is crossed by an intruder. We identify the missing ingredient as the pedestrians' ability to plan their motion well beyond the next interaction, whence they may accept to move towards denser regions for a short time. To account for this effect, we introduce a minimal model based on mean-field game theory, which proves remarkably successful in replicating the aforementioned observations as well as other daily-life situations involving collective behaviour in dense crowds, such as partial metro boarding. This demonstrates the ability of game approaches to capture the anticipatory effects at play in operational crowd dynamics.