A stochastic adaptive traffic signal control model based on fuzzy reinforcement learning

Abstract

The signalized intersection system often exhibits severe nonlinear and time-varying characteristic due to the random fluctuation of traffic demand or some special event, therefore, it cannot be adequately controlled with some traditional ways. The traditional reinforcement learning was extended to the fuzzy pattern with defining the fuzzy reinforcement… (More)

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