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Accounting for Patterns of Collective Behavior in Crowd Locomotor Dynamics for Realistic Simulations

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Transactions on Edutainment VII

Part of the book series: Lecture Notes in Computer Science ((TEDUTAIN,volume 7145))

Abstract

Do people in a crowd behave like a set of isolated individuals or like a cohesive group? Studies of crowd modeling usually consider pedestrian behavior either from the point of view of an isolated individual or from that of large swarms. We introduce here a study of small crowds walking towards a common goal and propose to make the link between individual behavior and crowd dynamics. Data show that participants, even though not instructed to behave collectively, do form a cohesive group and do not merely treat one another as obstacles. We present qualitative and quantitative measurements of this collective behavior, and propose a first set of patterns characterizing such behavior. This work is part of a wider effort to test crowd models against observed data.

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Bonneaud, S., Rio, K., Chevaillier, P., Warren, W.H. (2012). Accounting for Patterns of Collective Behavior in Crowd Locomotor Dynamics for Realistic Simulations. In: Pan, Z., Cheok, A.D., Müller, W., Chang, M., Zhang, M. (eds) Transactions on Edutainment VII. Lecture Notes in Computer Science, vol 7145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29050-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-29050-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29049-7

  • Online ISBN: 978-3-642-29050-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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