Dynamics of traffic jams: order and chaos
arXiv:nlin/0101051
Abstract
By means of a novel variational approach we study ergodic properties of a model of a multi lane traffic flow, considered as a (deterministic) wandering of interacting particles on an infinite lattice. For a class of initial configurations of particles (roughly speaking satisfying the Law of Large Numbers) the complete description of their limit (in time) behavior is obtained, as well as estimates of the transient period. In this period the main object of interest is the dynamics of `traffic jams', which is rigorously defined and studied. It is shown that the dynamical system under consideration is chaotic in a sense that its topological entropy (calculated explicitly) is positive. Statistical quantities describing limit configurations are obtained as well.
arXiv comment23 pages, LaTeX
References in corpus (9)
- Statistical Physics of Traffic Flow
- A Simplified Cellular Automaton Model for City Traffic
- Exact results for deterministic cellular automata traffic models
- The nondeterministic Nagel-Schreckenberg traffic model with open boundary conditions
- Stochastic boundary conditions in the deterministic Nagel-Schreckenberg traffic model
- Variational principles in the analysis of traffic flows. (Why it is worth to go against the flow.)
- Boundary-induced phase transitions in traffic flow
- A family of multi-value cellular automaton model for traffic flow
- Asymptotically exact spectral estimates for left triangular matrices