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Interactive Large-Scale Crowd Simulation

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Digital Urban Modeling and Simulation

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 242))

Abstract

We survey some recent work on interactive modeling, simulation, and control of large-scale crowds. Our primary focus is on interactive algorithms that can handle a large number of autonomous agents. This includes techniques for automatically computing collision-free trajectories for each agent as well as generating emergent crowd behaviors including lane formation, edge effects, vortices, congestion avoidance, swirling and modeling varying crowd density. Some of these methods map well to current multi-core and many-core processors and we highlight their performance in different urban scenarios.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of North Carolina, Chapel Hill, NC, U.S.A.

    Dinesh Manocha & Ming C. Lin

Authors
  1. Dinesh Manocha
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  2. Ming C. Lin
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Editors and Affiliations

  1. Future Cities Laboratory, Singapore-ETH Centre, Singapore

    Stefan Müller Arisona  & Gideon Aschwanden  & 

  2. Chair of Information Architecture, ETH Zurich, Zurich, Switzerland

    Jan Halatsch

  3. Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA

    Peter Wonka

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Manocha, D., Lin, M.C. (2012). Interactive Large-Scale Crowd Simulation. In: Arisona, S.M., Aschwanden, G., Halatsch, J., Wonka, P. (eds) Digital Urban Modeling and Simulation. Communications in Computer and Information Science, vol 242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29758-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-29758-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29757-1

  • Online ISBN: 978-3-642-29758-8

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