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Crowd Simulation and Visualization

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • Contributors:
      Universitat Politècnica de Catalunya = Université polytechnique de Catalogne Barcelona (UPC); Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC-CNS); Departament d'Arquitectura de Computadors - Universitat Politècnica de Catalunya (DAC); Oak Ridge National Laboratory Oak Ridge (ORNL); UT-Battelle, LLC; Laboratoire Franco-Mexicain d'Informatique et d'Automatique (LAFMIA); Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV)-Université de Technologie de Compiègne (UTC)-Consejo Nacional de Ciencia y Tecnología Mexico (CONACYT)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ); Heterogeneous and Adaptive distributed DAta management Systems (HADAS); Laboratoire d'Informatique de Grenoble (LIG); Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ); Centre National de la Recherche Scientifique (CNRS); In vivo neuroscience data lab
    • بيانات النشر:
      CCSD
    • الموضوع:
      2017
    • Collection:
      Université Grenoble Alpes: HAL
    • الموضوع:
      France
    • الموضوع:
      Barcelona, France
    • نبذة مختصرة :
      International audience ; This paper presents a methodology to simulate and visualize crowds. Our goal is to represent the most realistic possible scenarios in a city. Due to the high demand of resources a GPU Cluster is used. We use real data from which we identify the behavior of the masses applying statistical and artificial intelligence techniques. In order to take advantge of the processing power of the GPU cluster we use the following programming models during the characters simulation: MPI, OmpSs and CUDA. We developed different visualization schemes: a) In situ, b) Streaming, c) Web. The web scheme is the most flexible, allowing to interact in real time with the simulation through a web browser. For this scheme we use WebGL and Cesium.
    • الدخول الالكتروني :
      https://hal.science/hal-01586478
      https://hal.science/hal-01586478v1/document
      https://hal.science/hal-01586478v1/file/98-100%20Crowd%20Simulation%20and%20Visualization%203rd%20BSC%20International%20Doctoral%20Symposium%202016-23.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.4B926C06