Dynamic Traffic Assignment Simulation-Based Method to Evaluate Potential Polices to Alleviate Urban Traffic

摘要: Explosive population growth in urban areas increases traffic on already congested highways, particularly during rush hours. To tackle this type of issue, transportation agencies need to evaluate various countermeasures preferably with a tool designed to evaluate the impact of each potential policy. This work describes the design of a dynamic traffic assignment (DTA) simulation-based model to evaluate different polices for alleviating urban congestion. The DTA model was based on data extracted from an already existing static regional traffic demand model. The static model provided travel demand data and the network geometry. The Austin metropolitan area was used to test the traffic impact of two polices: (1) removing the tolls from nearby alternate highways to hopefully attract travelers using the overburdened main urban highway corridor; and (2) adding capacity to the existing main urban highway corridor …