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Pedestrian and Crowd Dynamics Simulation: Testing SCA on Paradigmatic Cases of Emerging Coordination in Negative Interaction Conditions

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Parallel Computing Technologies (PaCT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4671))

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Abstract

The paper presents a set of theoretical experiments performed to evaluate Situated Cellular Agent (SCA) approach within pedestrian dynamics research context. SCA is a modeling and simulation approach based on Multi Agent Systems principles that derives from Cellular Automata. In particular, we focus on two emerging phenomena (freezing by heating and lane formation phenomena) that have been empirically observed and already modeled by analytical particle–based models and Cellular Automata–based models.

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Victor Malyshkin

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Bandini, S., Federici, M.L., Manzoni, S., Vizzari, G. (2007). Pedestrian and Crowd Dynamics Simulation: Testing SCA on Paradigmatic Cases of Emerging Coordination in Negative Interaction Conditions. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2007. Lecture Notes in Computer Science, vol 4671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73940-1_37

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  • DOI: https://doi.org/10.1007/978-3-540-73940-1_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73939-5

  • Online ISBN: 978-3-540-73940-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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