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dc.contributor.authorLemercier, Samuelen_US
dc.contributor.authorJelic, Asjaen_US
dc.contributor.authorKulpa, Richarden_US
dc.contributor.authorHua, Jialeen_US
dc.contributor.authorFehrenbach, Jérômeen_US
dc.contributor.authorDegond, Pierreen_US
dc.contributor.authorAppert-Rolland, Cécileen_US
dc.contributor.authorDonikian, Stéphaneen_US
dc.contributor.authorPettré, Julienen_US
dc.contributor.editorP. Cignoni and T. Ertlen_US
dc.date.accessioned2015-02-28T06:54:39Z
dc.date.available2015-02-28T06:54:39Z
dc.date.issued2012en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2012.03028.xen_US
dc.description.abstractWhile 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.en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleRealistic Following Behaviors for Crowd Simulationen_US
dc.description.seriesinformationComputer Graphics Forumen_US


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