  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.
