Traffic control system based on neuron networks

E. I. Chumachenko

Abstract


The traffic control system based on neuron networks is considered. An accurate model of intersection is represented. It is determined the strategy of intersection traffic control using neural controller, which is based on classical neural network topologies of unidirectional multilayer perceptron

Keywords


Traffic control system; neuron networks; unidirectional multilayer perceptron

References


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Edited by Omid Omidvar, David L. Elliot, “Neural Systems for Control”, H. Ted Su, Tariq Samad, Neuro-Control Design: Optimization Aspects, pp. 259–283.


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