Statistical Physics Algorithms for Traffic Reconstruction

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dc.creatorDe La Fortelle, Arnaud
dc.creatorLasgouttes, Jean-Marc
dc.creatorFurtlehner, Cyril
dc.date2006-11-24
dc.date.accessioned2026-07-07T07:33:18Z
dc.date.available2026-07-07T07:33:18Z
dc.descriptionConcepts 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.
dc.identifierhttps://arxiv.org/abs/math/0611757
dc.identifierhttp://arxiv.org/abs/math/0611757
dc.identifierERCIM News (2006)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/119409
dc.subjectProbability
dc.titleStatistical Physics Algorithms for Traffic Reconstruction
dc.typetext

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