A Model for Dynamic Network Traffic Flow Based Virtual Space-Time Network

Currently, the models and theories for dynamic network traffic assignment have a great deal of limitations and couldn't describe and predict the state flow in the dynamic network in real-time online, and couldn't support setting the dynamic information platform of ITS. In this paper, we present a new real-time, network, space-time and ahead of time (predictive) model for dynamic network traffic assignment. We derive the splitting parallel algorithms of this model, and could simulate. It can follow, recognize and predict the future state of dynamic traffic flow. We provide theories and methods to the ITS that integrating the function such as dynamic traffic guidance; dynamic traffic system management and control, and dynamic traffic jam easing.