Predicting short-term activity-travel decisions is high on the research agenda because it constitutes a critical step in assessing the impact of policy decisions on daily traffic flows. The Aurora model was developed for predicting short-term activity scheduling and rescheduling decisions. Previous studies, using numerical simulations, have shown the potential of this model. The results of a study that estimated the model using empirical activity-travel diary data collected in the Amsterdam-Utrecht corridor, in the Netherlands, are reported.
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