The day-to-day dynamics of commuter decisions on urban traffic networks induced by route-choice dynamics is investigated. More specifically, this investigation analyzes the stability and reliability of system performance due to route-choice dynamics under real-time information, relaxing key restrictions associated with user equilibrium models. A simulation-based framework is developed to analyze day-to-day dynamics by integrating an empirically calibrated model of route-choice decisions with a dynamic network assignment model. Computational experiments are used to investigate the effect of certain experimental factors--recurrent network congestion level, market penetration, nature of information, and frequency of information updates--on network performance stability and reliability. The findings provide evidence of considerable day-to-day variations and stochasticity in network flows and performance, even when departure-time decisions and the origin-destination matrix are assumed to be fixed. The results indicate that (a) network performance may deviate significantly from equilibrium because of route-choice decisions under information; (b) within-day route choices have a significant effect on day-to-day network flow evolution; (c) user equilibrium path flows may not be reached or may not be stable when uncoordinated route-choice decisions are made under real-time information; (d) route-choice decisions do not exhibit convergence to an equilibrium, although the switching rate may be near steady-state conditions; (e) advanced traveler information systems (ATIS) information strategies can affect both within-day and day-to-day dynamics; and (f) some information strategies can lead to improved reliability and stability but at the expense of longer trip times. The results indicate that the trade-off between trip time performance and stability must be considered in network analysis and design. These results have important implications for the design of traffic control strategies, more-effective ATIS implementation guidelines, and incident management strategies.