Resurrection of “second order” models of traffic flow
SIAM Journal on Applied Mathematics
Autonomous behaviors for interactive vehicle animations
Graphical Models - Special issue on SCA 2004
On the partial difference equations of mathematical physics
IBM Journal of Research and Development
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
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We present a novel model called A2R--"Adaptive-AR"--based on a well-known continuum-based model called AR Aw and Rascle (2000) for the simulation of vehicle traffic flows. However, in the standard continuum-based model, vehicles usually follow the flows passively, without taking into account drivers' behavior and effectiveness. In order to simulate real-life traffic flows, we extend the model with a few factors, which include the effectiveness of drivers' prediction, drivers' reaction time, and drivers' types. We demonstrate that our A2R model is effective and the results of the experiments agree well with experience in real world. It has been shown that such a model makes vehicle flows perform more realistically and is closer to the real-life traffic than AR (short for Aw and Rascle and introduced in Aw and Rascle (2000)) model while having a similar performance.