A linear wave propagation‐based simulation model for dense and polarized crowds
暂无分享,去创建一个
Guoliang Luo | Yang Tong | Xiaogang Jin | Qiang Chen | Zhigang Deng | Xiaogang Jin | Z. Deng | Guoliang Luo | Qiang Chen | Yang Tong
[1] Denis Bartolo,et al. Dynamic response and hydrodynamics of polarized crowds , 2019, Science.
[2] Norman I. Badler,et al. Virtual Crowds: Steps Toward Behavioral Realism , 2015, Virtual Crowds: Steps Toward Behavioral Realism.
[3] A. Schadschneider. Cellular Automaton Approach to Pedestrian Dynamics - Theory , 2001, cond-mat/0112117.
[4] D. Helbing,et al. Crowd turbulence: the physics of crowd disasters , 2007, 0708.3339.
[5] Nancy M. Amato,et al. Better Group Behaviors in Complex Environments using Global Roadmaps , 2002 .
[6] Serge P. Hoogendoorn,et al. The Lagrangian coordinate system and what it means for two-dimensional crowd flow models , 2014, 1412.0206.
[7] Dinesh Manocha,et al. Parameter estimation and comparative evaluation of crowd simulations , 2014, Comput. Graph. Forum.
[8] Hani S. Mahmassani,et al. MACROPARTICLE TRAFFIC SIMULATION MODEL TO INVESTIGATE PEAK-PERIOD COMMUTER DECISION DYNAMICS. , 1985 .
[9] Andreas Schadschneider,et al. Empirical results for pedestrian dynamics and their implications for modeling , 2011, Networks Heterog. Media.
[10] Axel Klar,et al. Derivation of Continuum Traffic Flow Models from Microscopic Follow-the-Leader Models , 2002, SIAM J. Appl. Math..
[11] S. Ramaswamy,et al. Hydrodynamics of soft active matter , 2013 .
[12] Sookyun Kim,et al. Authorable Dense Crowd Simulation based on Smoothed Particle Hydrodynamics , 2012 .
[13] Guoliang Luo,et al. Shape‐constrained flying insects animation , 2019, Comput. Animat. Virtual Worlds.
[14] Glenn Reinman,et al. SteerBench: a benchmark suite for evaluating steering behaviors , 2009, Comput. Animat. Virtual Worlds.
[15] Argel A. Bandala,et al. Dynamic Aggregation Method for Target Enclosure Using Smoothed Particle Hydrodynamics Technique - An Implementation in Quadrotor Unmanned Aerial Vehicles (QUAV) Swarm - , 2016, J. Adv. Comput. Intell. Intell. Informatics.
[16] Matthias Teschner,et al. Versatile rigid-fluid coupling for incompressible SPH , 2012, ACM Trans. Graph..
[17] Paolo Fiorini,et al. Motion Planning in Dynamic Environments Using Velocity Obstacles , 1998, Int. J. Robotics Res..
[18] Roger L. Hughes,et al. A continuum theory for the flow of pedestrians , 2002 .
[19] Ming C. Lin,et al. Aggregate dynamics for dense crowd simulation , 2009, ACM Trans. Graph..
[20] Norman I. Badler,et al. Virtual Crowds: Methods, Simulation, and Control , 2008, Virtual Crowds: Methods, Simulation, and Control.
[21] Cécile Appert-Rolland,et al. Realistic following behaviors for crowd simulation , 2012, Comput. Graph. Forum.
[22] Daniel Thalmann,et al. Behavioral Animation of Crowds , 2007 .
[23] Helbing,et al. Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[24] Serge P. Hoogendoorn,et al. Macroscopic pedestrian flow simulation using Smoothed Particle Hydrodynamics (SPH) , 2020, Transportation Research Part C: Emerging Technologies.
[25] Adrien Treuille,et al. Continuum crowds , 2006, SIGGRAPH 2006.
[26] Zhang Chao-feng. A Review of Application of Social Force Model for Pedestrian Dynamics , 2011 .
[27] Dinesh Manocha,et al. Reciprocal Velocity Obstacles for real-time multi-agent navigation , 2008, 2008 IEEE International Conference on Robotics and Automation.
[28] Norman I. Badler,et al. Modeling realistic high density autonomous agent crowd movement: social forces, communication, roles and psychological influences , 2006 .
[29] John Dingliana,et al. DAVIS: density-adaptive synthetic-vision based steering for virtual crowds , 2015, MIG.
[30] Mohcine Chraibi,et al. Jamming transitions in force-based models for pedestrian dynamics. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.
[31] Shuchao Cao,et al. Pedestrian dynamics in single-file movement of crowd with different age compositions. , 2016, Physical review. E.
[32] Cécile Appert-Rolland,et al. Experimental Study of the Following Dynamics of Pedestrians , 2014 .
[33] Norman I. Badler,et al. Controlling individual agents in high-density crowd simulation , 2007, SCA '07.
[34] I. Farkas,et al. Social behaviour: Mexican waves in an excitable medium , 2002, Nature.
[35] Serge P. Hoogendoorn,et al. Two-Dimensional Approximate Godunov Scheme and What It Means For Continuum Pedestrian Flow Models , 2018, Transp. Sci..
[36] Céline Loscos,et al. Intuitive crowd behavior in dense urban environments using local laws , 2003, Proceedings of Theory and Practice of Computer Graphics, 2003..
[37] Markus H. Gross,et al. Particle-based fluid simulation for interactive applications , 2003, SCA '03.
[38] J. Pettré,et al. A synthetic-vision based steering approach for crowd simulation , 2010, ACM Trans. Graph..