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Centroidal Particle Dynamics: An Explicit Model of Pedestrian Personal Space for the Simulation of Short-Range Collision-Avoidance and Emergent Motion Patterns in Dense Crowds
Author(s) -
Omar Hesham
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.22215/etd/2019-13495
Subject(s) - crowds , crowd simulation , pedestrian , computer science , collision avoidance , range (aeronautics) , crowd psychology , collision , state space , simulation , context (archaeology) , space (punctuation) , trajectory , human–computer interaction , computer graphics (images) , artificial intelligence , geography , mathematics , physics , engineering , aerospace engineering , computer security , statistics , operating system , astronomy , archaeology

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