Neural network adaptive control for highway traffic
高速公路交通的神经网络自适应控制

To establish a macroscopical highway traffic flow dynamic model and to design a perfect control scheme it is of great importance for both theory and practice. In the highway traffic flow macroscopical dynamic model there are complicated nonlinear relations, and hence in the general optimization control scheme there may exist the dimension disaster in computing and the design of the control objective function may not be considerate as well. A highway traffic flow macroscopical dynamic model including a neural network structure is established; the objective function that can reflect the total operation level of the highway is then designed according to the demands from both managers and users; and the adaptive control scheme is also given such that it is simple in structure and easy for computation. The numerical simulation shows that the adaptive control scheme given in the paper is favorable: it improves the total operation level of the highway in comparison with that without control.