A dynamic simulation-based traffic assignment (DTA) framework and model for urban rail transit system was presented to describe the dynamics of network traffic flows over space and time. This framework and model can be used to evaluate the related traffic policies and operation strategies, which form the base for advanced dynamic traffic management system. In the framework, microscopic simulation-based methodology was used, where passengers and trains are conceived as individual mobile agents with decision making capabilities that interact with the environment. A continuous time-driven simulator named SURPASS based on the proposed model is also described; using object-oriented programming, it has performed well in both reliability and robustness. A real urban rail transit system of Beijing in China has been used to measure the accuracy and effectiveness of the proposed model. Results show that the proposed simulation-based methodology can be used to solve the DTA problem for urban rail transit system effectively.
展开▼
