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Adaptive traffic light control based on neuro-fuzzy system with reinforcement learning

Keywords:

S. E. Shvets, A. N. Fomin, A. V. Protodyakonov


The problem of adaptive neuro-fuzzy traffic light control was described. The paper includes structure of the system and learning algorithm. There is a comparison of the effectiveness of the adaptive system and optimal pre-timed on a model of a real crossroad.
References:

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