Realistic following behaviors for crowd simulation
Realistic following behaviors for crowd simulation
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DOI：
10.1111/j.1467-8659.2012.03028.x
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发表时间：
2012-05-01
影响因子：
2.5
通讯作者：
Pettre, J.
中科院分区：
文献类型：
--
作者：
Lemercier, S.;Jelic, A.;Pettre, J.
当行人穿过人群时，他会经历与邻居的大量互动。这些相互作用的性质是多种多样的，并且已经观察到宏观现象从这些局部相互作用的组合中出现。迄今为止，人群模型都认为避免碰撞是个体之间独特的交互类型，很少有人考虑群体行走。相比之下，我们的论文侧重于由于以下行为的行人的相互作用。当人们在走廊里行走或排队时，经常会观察到跟随。在这样的交通条件下，出现了典型的宏观走走停停波。我们的贡献是，第一，以下行为的实验研究，第二，模拟这种相互作用的数值模型，第三，它的校准，评估和应用。通过实验的方法，我们阐述和校准的模型，从微观分析实验过程中收集的真实的运动学数据。我们仔细评估我们的模型在微观和宏观层面。我们还展示了我们的方法在应用程序中，以下互动是突出的。
While walking through a crowd, a pedestrian experiences a large number of interactions with his neighbors. The nature of these interactions is varied, and it has been observed that macroscopic phenomena emerge from the combination of these local interactions. Crowd models have hitherto considered collision avoidance as the unique type of interactions between individuals, few have considered walking in groups. By contrast, our paper focuses on interactions due to the following behaviors of pedestrians. Following is frequently observed when people walk in corridors or when they queue. Typical macroscopic stop-and-go waves emerge under such traffic conditions. Our contributions are, first, an experimental study on following behaviors, second, a numerical model for simulating such interactions, and third, its calibration, evaluation and applications. Through an experimental approach, we elaborate and calibrate a model from microscopic analysis of real kinematics data collected during experiments. We carefully evaluate our model both at the microscopic and the macroscopic levels. We also demonstrate our approach on applications where following interactions are prominent.