Abstract
A neural network predictive control method based on particle swarm optimization (PSO) for the urban expressway is proposed. A series of serial-parallel structure radial basis function neural networks are used to identify the dynamic traffic flow model of the expressway. A non-linear predictive control algorithm with the constraint conditions is presented, and an on-line optimization algorithm based on PSO is also proposed. The simulation results show that this control algorithm has strong robustness and good control effect. The effectiveness of the on-line optimization based on PSO algorithm is also verified.
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