  We propose a minority route choice game to investigate the effect of the
network structure on traffic network performance under the assumption of
drivers' bounded rationality. We investigate ring-and-hub topologies to capture
the nature of traffic networks in cities, and employ a minority game-based
inductive learning process to model the characteristic behavior under the route
choice scenario. Through numerical experiments, we find that topological
changes in traffic networks induce a phase transition from an uncongested phase
to a congested phase. Understanding this phase transition is helpful in
planning new traffic networks.
