# Radial basis function neural network-based model predictive control for freeway traffic systems

@article{Dongli2007RadialBF, title={Radial basis function neural network-based model predictive control for freeway traffic systems}, author={Wang Dongli and Zhou Yan and He Xiaoyang}, journal={IJISTA}, year={2007}, volume={2}, pages={370-388} }

- Published in IJISTA 2007
DOI:10.1504/IJISTA.2007.014032

A method of Radial Basis Function neural network-based Model Predictive Control (RBF-MPC) for freeway traffic systems is proposed in this paper. Because of nonlinearity and uncertainty of freeway traffic flow, an accurate mathematics model cannot be obtained. Therefore, RBF neural networks employed to predict the future behaviours of freeway traffic flow are designed based on the MATLAB neural network toolbox. Then, to handle nonlinearity, time delay, uncertainty and strong disturbance, RBF-MPC… CONTINUE READING