Activity-Travel Scheduling and Rescheduling Decision Processes: Empirical Estimation of Aurora Model
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A study that estimated the Aurora model using empirical activity-travel diary data collected in the Amsterdam-Utrecht corridor, in the Netherlands, are reported.
Abstract
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.
