The present paper provides an empirical investigation of the potential impacts of advanced traffic control measures, such as route guidance information, on traffic flow patterns. The simulation-based quasi-dynamic traffic assignment model (DNA) used appears to be an efficient tool for capturing the demand profile changes of drivers under the presence of information-based control measures. The results obtained from the implementation of DNA in the Greater Athens Area network manifested the significant impact of routing on traffic flow patterns, particularly in terms of path spreading, whilst the largest benefits for drivers were derived for updating period of 15-30 minutes.