Dynamic Traffic Simulation-Assignment models are gaining wider acceptance and use to support transportation network planning and traffic operations decision-making. Significant improvements in traffic estimation capabilities and overall utilities of these systems for traffic management can be achieved by upgrading or adjusting them to account for the impacts of weather. This report presents the results of a study to develop weather-sensitive dynamic traffic assignment (DTA) models for Traffic Estimation and Prediction (TrEPS) application, which addresses both supply and demand aspects of the response to adverse weather, including user responses to various weather-specific interventions such as advisory information and control actions. (Author/publisher)
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