Stochastic stability of traffic maps
  We study ergodic properties of a family of traffic maps acting in the space of bi-infinite sequences of real numbers. The corresponding dynamics mimics the motion of vehicles in a simple traffic flow, which explains the name. Using connections to topological Markov chains we obtain nontrivial invariant measures, prove their stochastic stability, and calculate the topological entropy. Technically these results in the deterministic setting are related to the construction of measures of maximal entropy via measures uniformly distributed on periodic points of a given period, while in the random setting we directly construct (spatially) Markov invariant measures. In distinction to conventional results the limiting measures in non-lattice case are non-ergodic. Average velocity of individual ``vehicles'' as a function of their density and its stochastic stability is studied as well. 
Michael Blank
math.DS cond-mat.stat-mech math.PR