Under Intelligent Transportation Systems (ITS), the interaction between signal setting and traffic assignment is an important issue in designing efficient Advanced Traffic Management Systems (ATMS). This research focuses on finding dynamic user equilibrium between signal setting and route assignment. The problem is solved through a bi-level framework. The upper level solves for signal setting parameters based on flows, including cycle length and green splits. The lower level solves for time-dependent user equilibrium (UE) flows in a traffic network. The signal setting is adjusted through actuated signal control. Dynamic UE flow patterns are solved through a simulation-based DTA model, DynaTAIWAN. This bi-level framework can be applied in cities with signalized networks. Numerical experiments are conducted based on a subnetwork of the Kaohsiung City to study the dynamic equilibrium.