Presence: Teleoperators and Virtual Environments
Directable behavior models for virtual driving scenarios
Transactions of the Society for Computer Simulation International - Special issue: multi-agent systems and simulation
Resurrection of “second order” models of traffic flow
SIAM Journal on Applied Mathematics
Steering Behaviors for Autonomous Vehicles in Virtual Environments
VR '05 Proceedings of the 2005 IEEE Conference 2005 on Virtual Reality
Virtualized Traffic: Reconstructing Traffic Flows from Discrete Spatio-Temporal Data
VR '09 Proceedings of the 2009 IEEE Virtual Reality Conference
Virtualized Traffic: Reconstructing Traffic Flows from Discrete Spatiotemporal Data
IEEE Transactions on Visualization and Computer Graphics
Interactive hybrid simulation of large-scale traffic
Proceedings of the 2011 SIGGRAPH Asia Conference
Transforming GIS Data into Functional Road Models for Large-Scale Traffic Simulation
IEEE Transactions on Visualization and Computer Graphics
A simple and effective method for predicting travel times on freeways
IEEE Transactions on Intelligent Transportation Systems
Efficient, scalable traffic and compressible fluid simulations using hyperbolic models
Efficient, scalable traffic and compressible fluid simulations using hyperbolic models
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'Virtualized traffic' reconstructs and displays continuous traffic flows from discrete spatio-temporal traffic sensor data or procedurally generated control input to enhance a sense of immersion in a dynamic virtual environment. In this paper, we introduce a fast technique to reconstruct traffic flows from in-road sensor measurements or procedurally generated data for interactive 3D visual applications. Our algorithm estimates the full state of the traffic flow from sparse sensor measurements (or procedural input) using a statistical inference method and a continuum traffic model. This estimated state then drives an agent-based traffic simulator to produce a 3D animation of vehicle traffic that statistically matches the original traffic conditions. Unlike existing traffic simulation and animation techniques, our method produces a full 3D rendering of individual vehicles as part of continuous traffic flows given discrete spatio-temporal sensor measurements. Instead of using a color map to indicate traffic conditions, users could visualize and fly over the reconstructed traffic in real time over a large digital cityscape.