All models are based on data about travel patterns and behavior. If this data is out-of-date,
incomplete or inaccurate, the results will be poor no matter how good the models are. One of the
most effective ways of improving model accuracy and value is to have a good basis of recent data
to use to calibrate the models and to provide for checks of their accuracy.