SV-FVDM: A Synthetic Vision Based Full Velocity Difference Model for Interactive Traffic Simulation

Most methods in traffic simulations cannot deal with emergency circumstances. Inspired by the full velocity difference model (FVDM), we propose an improved approach called the synthetic vision based FVDM. Through numerous simulations, the experimental results demonstrate our SV-FVDM method can effectively generate interactive and realistic traffic simulations.

[1]  Xiaogang Jin,et al.  Detailed traffic animation for urban road networks , 2012, Graph. Model..

[2]  Nakayama,et al.  Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[3]  Zhigang Deng,et al.  Vehicle–pedestrian interaction for mixed traffic simulation , 2015, Comput. Animat. Virtual Worlds.

[4]  Sai-Keung Wong,et al.  Animating agents based on radial view in crowd simulation , 2016, VRST.

[5]  Hua Wang,et al.  An all‐in‐one efficient lane‐changing model for virtual traffic , 2014, Comput. Animat. Virtual Worlds.

[6]  Dinesh Manocha,et al.  Velocity-based modeling of physical interactions in multi-agent simulations , 2013, SCA '13.

[7]  R. Jiang,et al.  Full velocity difference model for a car-following theory. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1998 .

[9]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[10]  Adrien Treuille,et al.  Continuum crowds , 2006, SIGGRAPH 2006.

[11]  Peter Vortisch,et al.  Microscopic Traffic Flow Simulator VISSIM , 2010 .

[12]  Zhigang Deng,et al.  AA‐FVDM: An accident‐avoidance full velocity difference model for animating realistic street‐level traffic in rural scenes , 2014, Comput. Animat. Virtual Worlds.

[13]  Dirk Helbing,et al.  GENERALIZED FORCE MODEL OF TRAFFIC DYNAMICS , 1998 .

[14]  Stéphane Donikian,et al.  A synthetic-vision based steering approach for crowd simulation , 2010, SIGGRAPH 2010.

[15]  Stéphane Donikian,et al.  A synthetic-vision based steering approach for crowd simulation , 2010, ACM Transactions on Graphics.

[16]  Joaquim B. Cavalcante Neto,et al.  Gradient‐based steering for vision‐based crowd simulation algorithms , 2017, Comput. Graph. Forum.

[17]  Dinesh Manocha,et al.  Directing Crowd Simulations Using Navigation Fields , 2011, IEEE Transactions on Visualization and Computer Graphics.