Extended Urban Cell Transmission Model Using Agent-based Modeling

In this study, we propose an extended Urban Cell Transmission Model (UCTM) that uses the agent concept to handle complex traffic behavior such as signalized intersections in urban arterial traffic. In particular, the proposed model accounts for the turning and traffic signal modeling in intersections, and the lane-changing behavior. The proposed model replicates the periodical queue generation and dissipation caused by the traffic signal at the intersection. For a realistic lane-changing behavior, we define two types of lane-changing depending whether to follow the route or to obtain additional benefits from the travel time. The model is validated with the NGSIM arterial dataset and the results show that the performance of the proposed model replicates the overall urban traffic phenomena adequately.