Statistical Physics Algorithms for Traffic Reconstruction

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.
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https://hal.inria.fr/inria-00115998
Contributor : Arnaud de la Fortelle <>
Submitted on : Friday, November 24, 2006 - 12:31:31 PM
Last modification on : Monday, November 12, 2018 - 11:01:14 AM
Long-term archiving on : Tuesday, April 6, 2010 - 7:25:21 PM

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Arnaud de la Fortelle, Jean-Marc Lasgouttes, Cyril Furtlehner. Statistical Physics Algorithms for Traffic Reconstruction. ERCIM News, ERCIM, 2007, 68, pp.35-36. ⟨inria-00115998⟩

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