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首页> 外文期刊>SIAM Journal on Control and Optimization >MEAN-FIELD TYPE MODELING OF NONLOCAL CROWD AVERSION IN PEDESTRIAN CROWD DYNAMICS
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MEAN-FIELD TYPE MODELING OF NONLOCAL CROWD AVERSION IN PEDESTRIAN CROWD DYNAMICS

机译:行人人群动态中非本体人群厌恶的平均场型建模

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摘要

We extend the class of pedestrian crowd models introduced by Lachapelle and Wolfram [Transp. Res. B: Methodol., 45 (2011), pp. 1572-1589] to allow for nonlocal crowd aversion and arbitrarily but finitely many interacting crowds. The new crowd aversion feature grants pedestrians a "personal space" where crowding is undesirable. We derive the model from a particle picture and treat it as a mean-field type game. Solutions to the mean-field type game are characterized via a Pontryagin-type maximum principle. The behavior of pedestrians acting under nonlocal crowd aversion is illustrated by a numerical simulation.
机译:我们扩展了Lachapelle和Wolfram [Transp的行人人群模型。 res。 B:方法,45(2011),PP。1572-1589]允许非本体人群厌恶,并且是任意但有义的许多互动人群。 新的人群厌恶功能授予行人一个“个人空间”,其中拥挤是不受欢迎的。 我们从粒子图片中得出模型,并将其视为平均场类型游戏。 通过Pontryagin型最大原理表征平均场类型游戏的解决方案。 数字模拟说明了非局部人群厌恶下行为行为的行为。

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