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Statistical Physics Algorithms for Traffic Reconstruction

Probability 2007-05-23 v1
Authors: Arnaud De La Fortelle , Jean-Marc Lasgouttes , Cyril Furtlehner
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Abstract

Concepts and techniques from statistical physics inspired a new method for traffic prediction. This method is particularly suitable in settings where the only information available is floating car data. We propose a system, based on the Ising model of statistical physics, which both reconstructs and predicts the traffic in real time using a message-passing algorithm.

Keywords

traffic flow ruin theory

Cite

@article{arxiv.math/0611757,
  title  = {Statistical Physics Algorithms for Traffic Reconstruction},
  author = {Arnaud De La Fortelle and Jean-Marc Lasgouttes and Cyril Furtlehner},
  journal= {arXiv preprint arXiv:math/0611757},
  year   = {2007}
}

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