Adaptive drivers in a model of urban traffic
Statistical Mechanics
2015-06-24 v2 Disordered Systems and Neural Networks
Abstract
We introduce a simple lattice model of traffic flow in a city where drivers optimize their route-selection in time in order to avoid traffic jams, and study its phase structure as a function of the density of vehicles and of the drivers' behavioral parameters via numerical simulations and mean-field analytical arguments. We identify a phase transition between a low- and a high-density regime. In the latter, inductive drivers may surprisingly behave worse than randomly selecting drivers.
Cite
@article{arxiv.cond-mat/0308543,
title = {Adaptive drivers in a model of urban traffic},
author = {A. De Martino and M. Marsili and R. Mulet},
journal= {arXiv preprint arXiv:cond-mat/0308543},
year = {2015}
}
Comments
7 pages, final version