Urban expressway traffic flow modeling and control using artificial neural networks

From the viewpoint of macroscopical dynamic characteristics of urban expressway traffic flow, a commonly used macroscopic dynamic deterministic traffic flow model for traffic control is analysed, the neural network model for the urban expressway traffic flow is established and the urban expressway multi-variable neural control strategy with both the on-ramp control and the road speeds control is presented. This control strategy is a servo system where both state and control can be followed. Finally as an example, Hangzhou urban expressway is simulated and the result is satisfied.